diff --git a/PySDM/attributes/impl/mapper.py b/PySDM/attributes/impl/mapper.py
index b6798f360..8ec7bd267 100644
--- a/PySDM/attributes/impl/mapper.py
+++ b/PySDM/attributes/impl/mapper.py
@@ -51,8 +51,7 @@
     "volume": lambda _, __: Volume,
     "dry volume organic": lambda dynamics, formulae: (
         make_dummy_attribute_factory("dry volume organic")
-        if "Condensation" in dynamics
-        and formulae.surface_tension.__name__ == Constant.__name__
+        if formulae.surface_tension.__name__ == Constant.__name__
         else DryVolumeOrganic
     ),
     "dry volume": lambda dynamics, formulae: (
@@ -60,8 +59,7 @@
     ),
     "dry volume organic fraction": lambda dynamics, formulae: (
         make_dummy_attribute_factory("dry volume organic fraction")
-        if "Condensation" in dynamics
-        and formulae.surface_tension.__name__ == Constant.__name__
+        if formulae.surface_tension.__name__ == Constant.__name__
         else OrganicFraction
     ),
     "kappa times dry volume": lambda _, __: KappaTimesDryVolume,
@@ -124,6 +122,6 @@
 def get_class(name, dynamics, formulae):
     if name not in attributes:
         raise ValueError(
-            f"Unknown attribute name: {name}; valid names: {', '.join(attributes)}"
+            f"Unknown attribute name: {name}; valid names: {', '.join(sorted(attributes))}"
         )
     return attributes[name](dynamics, formulae)
diff --git a/PySDM/formulae.py b/PySDM/formulae.py
index 2f44bca58..acd58d94e 100644
--- a/PySDM/formulae.py
+++ b/PySDM/formulae.py
@@ -48,12 +48,16 @@ def __init__(  # pylint: disable=too-many-locals
         isotope_equilibrium_fractionation_factors: str = "Null",
         isotope_meteoric_water_line_excess: str = "Null",
         isotope_ratio_evolution: str = "Null",
+        optical_albedo: str = "Null",
+        optical_depth: str = "Null",
         particle_shape_and_density: str = "LiquidSpheres",
         terminal_velocity: str = "GunnKinzer1949",
         handle_all_breakups: bool = False,
     ):
         # initialisation of the fields below is just to silence pylint and to enable code hints
         # in PyCharm and alike, all these fields are later overwritten within this ctor
+        self.optical_albedo = optical_albedo
+        self.optical_depth = optical_depth
         self.condensation_coordinate = condensation_coordinate
         self.saturation_vapour_pressure = saturation_vapour_pressure
         self.hygroscopicity = hygroscopicity
diff --git a/PySDM/physics/__init__.py b/PySDM/physics/__init__.py
index 76e7f455b..08c4b8775 100644
--- a/PySDM/physics/__init__.py
+++ b/PySDM/physics/__init__.py
@@ -32,6 +32,8 @@
     isotope_meteoric_water_line_excess,
     isotope_ratio_evolution,
     latent_heat,
+    optical_albedo,
+    optical_depth,
     particle_advection,
     particle_shape_and_density,
     saturation_vapour_pressure,
diff --git a/PySDM/physics/constants.py b/PySDM/physics/constants.py
index da5da22ca..5a489643a 100644
--- a/PySDM/physics/constants.py
+++ b/PySDM/physics/constants.py
@@ -34,6 +34,7 @@ def in_unit(value, unit):
 LN_2 = np.log(2)
 ZERO_MASS = 0 * si.kg
 ZERO_VOLUME = 0 * si.m**3
+ONE = 1
 TWO = 2
 THREE = 3
 FOUR = 4
diff --git a/PySDM/physics/constants_defaults.py b/PySDM/physics/constants_defaults.py
index 53de9fb1d..6231420e3 100644
--- a/PySDM/physics/constants_defaults.py
+++ b/PySDM/physics/constants_defaults.py
@@ -20,6 +20,7 @@
     PPM,
     T0,
     THREE,
+    ONE,
     TWO,
     TWO_THIRDS,
     M,
@@ -317,6 +318,9 @@
 CRAIG_1961_SLOPE_COEFF = 8
 CRAIG_1961_INTERCEPT_COEFF = 10 * PER_MILLE
 
+""" [Bohren 1987](https://doi.org/10.1119/1.15109) """
+asymmetry_g = 0.85  # forward scattering from cloud droplets
+
 
 def compute_derived_values(c: dict):
     c["eps"] = c["Mv"] / c["Md"]
@@ -325,6 +329,6 @@ def compute_derived_values(c: dict):
 
     c["Rd_over_c_pd"] = c["Rd"] / c["c_pd"]
 
-    c["nu_w"] = c["Mv"] / c["rho_w"]
+    c["water_molar_volume"] = c["Mv"] / c["rho_w"]
     c["rho_STP"] = c["p_STP"] / c["Rd"] / c["T_STP"]
     c["H_u"] = c["M"] / c["p_STP"]
diff --git a/PySDM/physics/optical_albedo/__init__.py b/PySDM/physics/optical_albedo/__init__.py
new file mode 100644
index 000000000..8423d9584
--- /dev/null
+++ b/PySDM/physics/optical_albedo/__init__.py
@@ -0,0 +1,6 @@
+"""
+alternative formulations of cloud albedo
+"""
+
+from .bohren1987 import Bohren1987
+from .null import Null
diff --git a/PySDM/physics/optical_albedo/bohren1987.py b/PySDM/physics/optical_albedo/bohren1987.py
new file mode 100644
index 000000000..6f9a5ceba
--- /dev/null
+++ b/PySDM/physics/optical_albedo/bohren1987.py
@@ -0,0 +1,14 @@
+"""
+[Bohren 1987](https://doi.org/10.1119/1.15109) Eq. 14
+"""
+
+
+class Bohren1987:  # pylint: disable=too-few-public-methods
+    def __init__(self, _):
+        pass
+
+    @staticmethod
+    def albedo(const, tau):
+        return ((const.ONE - const.asymmetry_g) * tau) / (
+            const.TWO + (const.ONE - const.asymmetry_g) * tau
+        )
diff --git a/PySDM/physics/optical_albedo/null.py b/PySDM/physics/optical_albedo/null.py
new file mode 100644
index 000000000..9ae676929
--- /dev/null
+++ b/PySDM/physics/optical_albedo/null.py
@@ -0,0 +1,8 @@
+"""
+null (default) class
+"""
+
+
+class Null:  # pylint: disable=too-few-public-methods
+    def __init__(self, _):
+        pass
diff --git a/PySDM/physics/optical_depth/__init__.py b/PySDM/physics/optical_depth/__init__.py
new file mode 100644
index 000000000..e5052797f
--- /dev/null
+++ b/PySDM/physics/optical_depth/__init__.py
@@ -0,0 +1,6 @@
+"""
+alternative formulations of optical depth
+"""
+
+from .stephens_1978 import Stephens1978
+from .null import Null
diff --git a/PySDM/physics/optical_depth/null.py b/PySDM/physics/optical_depth/null.py
new file mode 100644
index 000000000..9ae676929
--- /dev/null
+++ b/PySDM/physics/optical_depth/null.py
@@ -0,0 +1,8 @@
+"""
+null (default) class
+"""
+
+
+class Null:  # pylint: disable=too-few-public-methods
+    def __init__(self, _):
+        pass
diff --git a/PySDM/physics/optical_depth/stephens_1978.py b/PySDM/physics/optical_depth/stephens_1978.py
new file mode 100644
index 000000000..ee5c7d260
--- /dev/null
+++ b/PySDM/physics/optical_depth/stephens_1978.py
@@ -0,0 +1,13 @@
+"""
+[Stephens 1978](https://doi.org/10.1175/1520-0469(1978)035%3C2123:RPIEWC%3E2.0.CO;2)
+Eq. 7 for optical depth, where LWP is in g/m^2 and reff is in um.
+"""
+
+
+class Stephens1978:  # pylint: disable=too-few-public-methods
+    def __init__(self, _):
+        pass
+
+    @staticmethod
+    def tau(const, LWP, reff):
+        return (const.ONE_AND_A_HALF * LWP) / (const.rho_w * reff)
diff --git a/PySDM/physics/surface_tension/compressed_film_ruehl.py b/PySDM/physics/surface_tension/compressed_film_ruehl.py
index 1308a2499..43f4c4189 100644
--- a/PySDM/physics/surface_tension/compressed_film_ruehl.py
+++ b/PySDM/physics/surface_tension/compressed_film_ruehl.py
@@ -56,7 +56,9 @@ def sigma(const, T, v_wet, v_dry, f_org):  # pylint: disable=too-many-locals
         else:
             # C_bulk is the concentration of the organic in the bulk phase
             # Cb_iso = C_bulk / (1-f_surf)
-            Cb_iso = (f_org * v_dry / const.RUEHL_nu_org) / (v_wet / const.nu_w)
+            Cb_iso = (f_org * v_dry / const.RUEHL_nu_org) / (
+                v_wet / const.water_molar_volume
+            )
 
             # A is the area one molecule of organic occupies at the droplet surface
             # A_iso = A*f_surf (m^2)
diff --git a/PySDM/physics/surface_tension/szyszkowski_langmuir.py b/PySDM/physics/surface_tension/szyszkowski_langmuir.py
index 45e2f5561..cc228ad80 100644
--- a/PySDM/physics/surface_tension/szyszkowski_langmuir.py
+++ b/PySDM/physics/surface_tension/szyszkowski_langmuir.py
@@ -34,7 +34,9 @@ def sigma(const, T, v_wet, v_dry, f_org):
         else:
             # C_bulk is the concentration of the organic in the bulk phase
             # Cb_iso = C_bulk / (1-f_surf)
-            Cb_iso = (f_org * v_dry / const.RUEHL_nu_org) / (v_wet / const.nu_w)
+            Cb_iso = (f_org * v_dry / const.RUEHL_nu_org) / (
+                v_wet / const.water_molar_volume
+            )
 
             # A is the area that one molecule of organic occupies at the droplet surface
             # A_iso = A*f_surf (m^2)
diff --git a/PySDM/products/__init__.py b/PySDM/products/__init__.py
index 5e42d28eb..696bd8247 100644
--- a/PySDM/products/__init__.py
+++ b/PySDM/products/__init__.py
@@ -1,7 +1,5 @@
 """
-Simulation output products such as:
-`PySDM.products.size_spectral.particle_size_spectrum.ParticleSizeSpectrum`,
-...
+Simulation output products
 """
 
 from .ambient_thermodynamics import *
@@ -12,3 +10,5 @@
 from .freezing import *
 from .housekeeping import *
 from .size_spectral import *
+from .optical import *
+from .parcel import *
diff --git a/PySDM/products/freezing/__init__.py b/PySDM/products/freezing/__init__.py
index da05c9903..ccd0afdf9 100644
--- a/PySDM/products/freezing/__init__.py
+++ b/PySDM/products/freezing/__init__.py
@@ -12,5 +12,4 @@
     IceNucleiConcentration,
     SpecificIceNucleiConcentration,
 )
-from .ice_water_content import IceWaterContent, SpecificIceWaterContent
 from .total_unfrozen_immersed_surface_area import TotalUnfrozenImmersedSurfaceArea
diff --git a/PySDM/products/freezing/ice_water_content.py b/PySDM/products/freezing/ice_water_content.py
deleted file mode 100644
index 963c22a65..000000000
--- a/PySDM/products/freezing/ice_water_content.py
+++ /dev/null
@@ -1,36 +0,0 @@
-"""
-ice water content products (mixing ratio and density)
-"""
-
-import numpy as np
-
-from PySDM.products.impl.moment_product import MomentProduct
-
-
-class IceWaterContent(MomentProduct):
-    def __init__(self, unit="kg/m^3", name=None, specific=False):
-        super().__init__(unit=unit, name=name)
-        self.specific = specific
-
-    def _impl(self, **kwargs):
-        self._download_moment_to_buffer(
-            attr="water mass", rank=1, filter_range=(-np.inf, 0)
-        )
-        result = self.buffer.copy()
-
-        self._download_moment_to_buffer(
-            attr="water mass", rank=0, filter_range=(-np.inf, 0)
-        )
-        conc = self.buffer
-
-        result[:] *= -1 * conc / self.particulator.mesh.dv
-
-        if self.specific:
-            self._download_to_buffer(self.particulator.environment["rhod"])
-            result[:] /= self.buffer
-        return result
-
-
-class SpecificIceWaterContent(IceWaterContent):
-    def __init__(self, unit="kg/kg", name=None):
-        super().__init__(unit=unit, name=name, specific=True)
diff --git a/PySDM/products/optical/__init__.py b/PySDM/products/optical/__init__.py
new file mode 100644
index 000000000..8f1c37675
--- /dev/null
+++ b/PySDM/products/optical/__init__.py
@@ -0,0 +1,4 @@
+""" cloud optical properties """
+
+from .cloud_optical_depth import CloudOpticalDepth
+from .cloud_albedo import CloudAlbedo
diff --git a/PySDM/products/optical/cloud_albedo.py b/PySDM/products/optical/cloud_albedo.py
new file mode 100644
index 000000000..63cc2d192
--- /dev/null
+++ b/PySDM/products/optical/cloud_albedo.py
@@ -0,0 +1,13 @@
+"""
+cloud albedo
+"""
+
+from PySDM.products.impl.product import Product
+
+
+class CloudAlbedo(Product):
+    def __init__(self, *, unit="dimensionless", name=None):
+        super().__init__(name=name, unit=unit)
+
+    def _impl(self, **kwargs):
+        return self.formulae.optical_albedo.albedo(kwargs["optical_depth"])
diff --git a/PySDM/products/optical/cloud_optical_depth.py b/PySDM/products/optical/cloud_optical_depth.py
new file mode 100644
index 000000000..dd570e8d2
--- /dev/null
+++ b/PySDM/products/optical/cloud_optical_depth.py
@@ -0,0 +1,16 @@
+"""
+cloud optical depth
+"""
+
+from PySDM.products.impl.product import Product
+
+
+class CloudOpticalDepth(Product):
+    def __init__(self, *, unit="dimensionless", name=None):
+        super().__init__(name=name, unit=unit)
+
+    def _impl(self, **kwargs):
+        return self.formulae.optical_depth.tau(
+            kwargs["liquid_water_path"],
+            kwargs["effective_radius"],
+        )
diff --git a/PySDM/products/parcel/__init__.py b/PySDM/products/parcel/__init__.py
new file mode 100644
index 000000000..d95384235
--- /dev/null
+++ b/PySDM/products/parcel/__init__.py
@@ -0,0 +1,3 @@
+""" products specific to the parcel environment """
+
+from .cloud_water_path import ParcelLiquidWaterPath
diff --git a/PySDM/products/parcel/cloud_water_path.py b/PySDM/products/parcel/cloud_water_path.py
new file mode 100644
index 000000000..8c6661c57
--- /dev/null
+++ b/PySDM/products/parcel/cloud_water_path.py
@@ -0,0 +1,55 @@
+"""
+cloud water path integrated over parcel displacement taking into account changes
+in parcel volume along the way
+"""
+
+from PySDM.environments.parcel import Parcel
+
+from PySDM.products.impl.activation_filtered_product import _ActivationFilteredProduct
+from PySDM.products.impl.moment_product import MomentProduct
+
+
+class ParcelLiquidWaterPath(MomentProduct, _ActivationFilteredProduct):
+    def __init__(
+        self,
+        count_unactivated: bool,
+        count_activated: bool,
+        name=None,
+        unit="kg/m^2",
+    ):
+        MomentProduct.__init__(self, unit=unit, name=name)
+        _ActivationFilteredProduct.__init__(
+            self, count_activated=count_activated, count_unactivated=count_unactivated
+        )
+        self.previous = {"z": 0.0, "cwc": 0.0}
+        self.cwp = 0.0
+
+    def register(self, builder):
+        if not isinstance(builder.particulator.environment, Parcel):
+            raise NotImplementedError()
+        _ActivationFilteredProduct.register(self, builder)
+        MomentProduct.register(self, builder)
+        self.particulator.observers.append(self)
+
+    def notify(self):
+        _ActivationFilteredProduct.impl(self, attr="water mass", rank=1)
+        avg_mass = self.buffer.copy()
+
+        _ActivationFilteredProduct.impl(self, attr="water mass", rank=0)
+        tot_numb = self.buffer.copy()
+
+        self._download_to_buffer(self.particulator.environment["z"])
+        current_z = self.buffer.copy()
+
+        cwc = avg_mass * tot_numb / self.particulator.mesh.dv
+        dz = current_z - self.previous["z"]
+        cwc_mean = (cwc + self.previous["cwc"]) / 2
+
+        if self.previous["cwc"] > 0:
+            self.cwp += cwc_mean * dz
+
+        self.previous["z"] = current_z
+        self.previous["cwc"] = cwc
+
+    def _impl(self, **kwargs):
+        return self.cwp
diff --git a/PySDM/products/size_spectral/__init__.py b/PySDM/products/size_spectral/__init__.py
index 5aa4647e2..9be2ed131 100644
--- a/PySDM/products/size_spectral/__init__.py
+++ b/PySDM/products/size_spectral/__init__.py
@@ -7,6 +7,7 @@
     ZerothMoment,
 )
 from .effective_radius import EffectiveRadius
+from .effective_radius_activated import ActivatedEffectiveRadius
 from .mean_radius import MeanRadius
 from .mean_radius_activated import ActivatedMeanRadius
 from .mean_volume_radius import MeanVolumeRadius
@@ -34,3 +35,11 @@
 from .total_particle_concentration import TotalParticleConcentration
 from .total_particle_specific_concentration import TotalParticleSpecificConcentration
 from .water_mixing_ratio import WaterMixingRatio
+from .cloud_water_content import (
+    CloudWaterContent,
+    SpecificCloudWaterContent,
+    LiquidWaterContent,
+    SpecificLiquidWaterContent,
+    IceWaterContent,
+    SpecificIceWaterContent,
+)
diff --git a/PySDM/products/size_spectral/cloud_water_content.py b/PySDM/products/size_spectral/cloud_water_content.py
new file mode 100644
index 000000000..b425e9ba2
--- /dev/null
+++ b/PySDM/products/size_spectral/cloud_water_content.py
@@ -0,0 +1,78 @@
+"""
+cloud water content products, Specific means per mass of dry air
+
+CloudWaterContent is both liquid and ice
+LiquidWaterContent is just liquid
+IceWaterContent is just ice
+
+"""
+
+import numpy as np
+
+from PySDM.products.impl.moment_product import MomentProduct
+
+
+class CloudWaterContent(MomentProduct):
+    def __init__(
+        self, unit="kg/m^3", name=None, specific=False, liquid=True, ice=True
+    ):  # pylint: disable=too-many-arguments
+        super().__init__(unit=unit, name=name)
+        self.specific = specific
+        self.liquid = liquid
+        self.ice = ice
+
+    def _impl(self, **kwargs):
+        cwc = 0.0
+        if self.liquid:
+            self._download_moment_to_buffer(
+                attr="water mass", rank=1, filter_range=(0, np.inf)
+            )
+            mass = self.buffer.copy()
+
+            self._download_moment_to_buffer(
+                attr="water mass", rank=0, filter_range=(0, np.inf)
+            )
+            conc = self.buffer
+            cwc += mass * conc / self.particulator.mesh.dv
+
+        if self.ice:
+            self._download_moment_to_buffer(
+                attr="water mass", rank=1, filter_range=(-np.inf, 0)
+            )
+            mass = self.buffer.copy()
+
+            self._download_moment_to_buffer(
+                attr="water mass", rank=0, filter_range=(-np.inf, 0)
+            )
+            conc = self.buffer
+            cwc -= mass * conc / self.particulator.mesh.dv
+
+        if self.specific:
+            self._download_to_buffer(self.particulator.environment["rhod"])
+            cwc /= self.buffer
+        return cwc
+
+
+class SpecificCloudWaterContent(CloudWaterContent):
+    def __init__(self, unit="kg/kg", name=None):
+        super().__init__(unit=unit, name=name, specific=True, liquid=True, ice=True)
+
+
+class LiquidWaterContent(CloudWaterContent):
+    def __init__(self, unit="kg/m^3", name=None):
+        super().__init__(unit=unit, name=name, specific=False, liquid=True, ice=False)
+
+
+class SpecificLiquidWaterContent(CloudWaterContent):
+    def __init__(self, unit="kg/kg", name=None):
+        super().__init__(unit=unit, name=name, specific=True, liquid=True, ice=False)
+
+
+class IceWaterContent(CloudWaterContent):
+    def __init__(self, unit="kg/m^3", name=None):
+        super().__init__(unit=unit, name=name, specific=False, liquid=False, ice=True)
+
+
+class SpecificIceWaterContent(CloudWaterContent):
+    def __init__(self, unit="kg/kg", name=None):
+        super().__init__(unit=unit, name=name, specific=True, liquid=False, ice=True)
diff --git a/PySDM/products/size_spectral/effective_radius.py b/PySDM/products/size_spectral/effective_radius.py
index 703bff9fd..605fa4c15 100644
--- a/PySDM/products/size_spectral/effective_radius.py
+++ b/PySDM/products/size_spectral/effective_radius.py
@@ -25,12 +25,15 @@ def register(self, builder):
 
     @staticmethod
     @numba.njit(**JIT_FLAGS)
-    def __get_impl(buffer, tmp):
-        buffer[:] = np.where(
-            tmp[:] > 0,
-            buffer[:]
+    def nan_aware_reff_impl(input_volume_output_reff, volume_2_3):
+        """computes the effective radius (<r^3>/<r^2>) based on <v^(2/3)> and <v>"""
+        input_volume_output_reff[:] = np.where(
+            volume_2_3[:] > 0,
+            input_volume_output_reff[:]
             * GEOM_FACTOR
-            / (tmp[:] + (tmp[:] == 0)),  # (+ x==0) to avoid div-by-zero warnings
+            / (
+                volume_2_3[:] + (volume_2_3[:] == 0)
+            ),  # (+ x==0) to avoid div-by-zero warnings
             np.nan,
         )
 
@@ -49,5 +52,7 @@ def _impl(self, **kwargs):
             filter_range=self.volume_range,
             filter_attr="volume",
         )
-        EffectiveRadius.__get_impl(self.buffer, tmp)
+        EffectiveRadius.nan_aware_reff_impl(
+            input_volume_output_reff=self.buffer, volume_2_3=tmp
+        )
         return self.buffer
diff --git a/PySDM/products/size_spectral/effective_radius_activated.py b/PySDM/products/size_spectral/effective_radius_activated.py
new file mode 100644
index 000000000..3145653a8
--- /dev/null
+++ b/PySDM/products/size_spectral/effective_radius_activated.py
@@ -0,0 +1,41 @@
+"""
+effective radius of particles within a grid cell, for activated, unactivated or both
+"""
+
+import numpy as np
+
+from PySDM.products.impl.activation_filtered_product import _ActivationFilteredProduct
+from PySDM.products.impl.moment_product import MomentProduct
+from PySDM.products.size_spectral.effective_radius import EffectiveRadius
+
+
+class ActivatedEffectiveRadius(MomentProduct, _ActivationFilteredProduct):
+    def __init__(
+        self, *, count_unactivated: bool, count_activated: bool, name=None, unit="m"
+    ):
+        MomentProduct.__init__(self, name=name, unit=unit)
+        _ActivationFilteredProduct.__init__(
+            self, count_activated=count_activated, count_unactivated=count_unactivated
+        )
+
+    def register(self, builder):
+        _ActivationFilteredProduct.register(self, builder)
+        MomentProduct.register(self, builder)
+
+    def _impl(self, **kwargs):
+        _ActivationFilteredProduct.impl(
+            self,
+            attr="volume",
+            rank=2 / 3,
+        )
+        tmp = np.empty_like(self.buffer)
+        tmp[:] = self.buffer[:]
+        _ActivationFilteredProduct.impl(
+            self,
+            attr="volume",
+            rank=1,
+        )
+        EffectiveRadius.nan_aware_reff_impl(
+            input_volume_output_reff=self.buffer, volume_2_3=tmp
+        )
+        return self.buffer
diff --git a/examples/PySDM_examples/Lowe_et_al_2019/constants_def.py b/examples/PySDM_examples/Lowe_et_al_2019/constants_def.py
new file mode 100644
index 000000000..aad63332f
--- /dev/null
+++ b/examples/PySDM_examples/Lowe_et_al_2019/constants_def.py
@@ -0,0 +1,13 @@
+from PySDM.physics import constants_defaults, si
+
+LOWE_CONSTS = {
+    "sgm_org": 40 * si.mN / si.m,
+    "delta_min": 0.1
+    * si.nm,  # 0.2 in the paper, but 0.1 matches the paper plot fig 1c and 1d
+    "MAC": 1,
+    "HAC": 1,
+    "c_pd": 1006 * si.joule / si.kilogram / si.kelvin,
+    "g_std": 9.81 * si.metre / si.second**2,
+    "Md": constants_defaults.R_str / 287.058 * si.joule / si.kelvin / si.kg,
+    "Mv": constants_defaults.R_str / 461 * si.joule / si.kelvin / si.kg,
+}
diff --git a/examples/PySDM_examples/Lowe_et_al_2019/fig_1.ipynb b/examples/PySDM_examples/Lowe_et_al_2019/fig_1.ipynb
index 1bbe2642f..c50bb66ec 100644
--- a/examples/PySDM_examples/Lowe_et_al_2019/fig_1.ipynb
+++ b/examples/PySDM_examples/Lowe_et_al_2019/fig_1.ipynb
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
@@ -59,7 +59,8 @@
     "from PySDM.physics import si\n",
     "from open_atmos_jupyter_utils import show_plot\n",
     "\n",
-    "from PySDM_examples.Lowe_et_al_2019.aerosol_code import AerosolMarine, AerosolBoreal, AerosolNascent"
+    "from PySDM_examples.Lowe_et_al_2019.aerosol_code import AerosolMarine, AerosolBoreal, AerosolNascent\n",
+    "from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS"
    ]
   },
   {
@@ -73,21 +74,21 @@
    },
    "outputs": [],
    "source": [
-    "FORMULAE = Formulae()\n",
-    "WATER_MOLAR_VOLUME = FORMULAE.constants.Mv / FORMULAE.constants.rho_w\n",
+    "FORMULAE = Formulae(constants=LOWE_CONSTS)\n",
+    "WATER_MOLAR_VOLUME = FORMULAE.constants.water_molar_volume\n",
     "cases = {\n",
     "    'Marine (MA)': AerosolMarine(water_molar_volume=WATER_MOLAR_VOLUME),\n",
     "    'Boreal (HYY)': AerosolBoreal(water_molar_volume=WATER_MOLAR_VOLUME),\n",
     "    'NUM event (NE)': AerosolNascent(water_molar_volume=WATER_MOLAR_VOLUME)\n",
     "}\n",
     "\n",
-    "formulae_bulk = Formulae(surface_tension='Constant')\n",
+    "formulae_bulk = Formulae(\n",
+    "    surface_tension='Constant',\n",
+    "    constants=LOWE_CONSTS, \n",
+    ")\n",
     "formulae_surf = Formulae(\n",
     "    surface_tension='CompressedFilmOvadnevaite',\n",
-    "    constants={\n",
-    "        'sgm_org': 40 * si.mN / si.m,\n",
-    "        'delta_min': 0.1 * si.nm  # 0.2 in the paper, but 0.1 matches the paper plot fig 1c and 1d\n",
-    "    }\n",
+    "    constants=LOWE_CONSTS,\n",
     ")\n",
     "\n",
     "r_wet = np.logspace(np.log(150 * si.nm), np.log(3000 * si.nm), base=np.e, num=100)\n",
@@ -117,18 +118,20 @@
    "outputs": [
     {
      "data": {
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"430.782188pt\" height=\"310.86825pt\" viewBox=\"0 0 430.782188 310.86825\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2023-12-29T12:52:31.880167</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.8.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 310.86825 \nL 430.782188 310.86825 \nL 430.782188 0 \nL 0 0 \nz\n\" style=\"fill: #ffffff\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 57.662188 273.312 \nL 414.782188 273.312 \nL 414.782188 7.2 \nL 57.662188 7.2 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path d=\"M 104.382062 273.312 \nL 104.382062 7.2 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path id=\"m68d9b17284\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m68d9b17284\" x=\"104.382062\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- $\\mathdefault{10^{1}}$ -->\n      <g transform=\"translate(95.582062 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-31\" d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path d=\"M 259.582125 273.312 \nL 259.582125 7.2 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#m68d9b17284\" x=\"259.582125\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- $\\mathdefault{10^{2}}$ -->\n      <g transform=\"translate(250.782125 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path d=\"M 414.782188 273.312 \nL 414.782188 7.2 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use xlink:href=\"#m68d9b17284\" x=\"414.782188\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- $\\mathdefault{10^{3}}$ -->\n      <g transform=\"translate(405.982188 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path id=\"mec64ae6af1\" d=\"M 0 0 \nL 0 2 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"57.662188\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"69.951122\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_9\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"80.341268\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_10\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"89.341622\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_11\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"97.280496\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"151.101936\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_13\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"178.43131\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_14\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"197.82181\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_12\">\n     <g id=\"line2d_15\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"212.86225\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_13\">\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"225.151185\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_14\">\n     <g id=\"line2d_17\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"235.541331\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_15\">\n     <g id=\"line2d_18\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"244.541685\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_16\">\n     <g id=\"line2d_19\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"252.480559\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_17\">\n     <g id=\"line2d_20\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"306.301999\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_18\">\n     <g id=\"line2d_21\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"333.631373\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_19\">\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"353.021873\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_20\">\n     <g id=\"line2d_23\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"368.062313\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_21\">\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"380.351248\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_22\">\n     <g id=\"line2d_25\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"390.741394\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_23\">\n     <g id=\"line2d_26\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"399.741747\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_24\">\n     <g id=\"line2d_27\">\n      <g>\n       <use xlink:href=\"#mec64ae6af1\" x=\"407.680622\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_4\">\n     <!-- Dry aerosol radius [nm] -->\n     <g transform=\"translate(176.997188 301.588562) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-44\" d=\"M 1259 4147 \nL 1259 519 \nL 2022 519 \nQ 2988 519 3436 956 \nQ 3884 1394 3884 2338 \nQ 3884 3275 3436 3711 \nQ 2988 4147 2022 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 1925 4666 \nQ 3281 4666 3915 4102 \nQ 4550 3538 4550 2338 \nQ 4550 1131 3912 565 \nQ 3275 0 1925 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-79\" d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5b\" d=\"M 550 4863 \nL 1875 4863 \nL 1875 4416 \nL 1125 4416 \nL 1125 -397 \nL 1875 -397 \nL 1875 -844 \nL 550 -844 \nL 550 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \nQ 3544 3216 3844 3400 \nQ 4144 3584 4550 3584 \nQ 5097 3584 5394 3201 \nQ 5691 2819 5691 2113 \nL 5691 0 \nL 5113 0 \nL 5113 2094 \nQ 5113 2597 4934 2840 \nQ 4756 3084 4391 3084 \nQ 3944 3084 3684 2787 \nQ 3425 2491 3425 1978 \nL 3425 0 \nL 2847 0 \nL 2847 2094 \nQ 2847 2600 2669 2842 \nQ 2491 3084 2119 3084 \nQ 1678 3084 1418 2786 \nQ 1159 2488 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1356 3278 1631 3431 \nQ 1906 3584 2284 3584 \nQ 2666 3584 2933 3390 \nQ 3200 3197 3328 2828 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5d\" d=\"M 1947 4863 \nL 1947 -844 \nL 622 -844 \nL 622 -397 \nL 1369 -397 \nL 1369 4416 \nL 622 4416 \nL 622 4863 \nL 1947 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-44\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"77.001953\"/>\n      <use xlink:href=\"#DejaVuSans-79\" x=\"118.115234\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"177.294922\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"209.082031\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"270.361328\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"331.884766\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"370.748047\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"431.929688\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"484.029297\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"545.210938\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"572.994141\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"604.78125\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"645.894531\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"707.173828\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"770.650391\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"798.433594\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"861.8125\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"913.912109\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"945.699219\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"984.712891\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"1048.091797\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"1145.503906\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_28\">\n      <path d=\"M 57.662188 273.312 \nL 414.782188 273.312 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_29\">\n      <defs>\n       <path id=\"m1709ee36d3\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m1709ee36d3\" x=\"57.662188\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- $\\mathdefault{10^{0}}$ -->\n      <g transform=\"translate(33.062188 277.111219) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_30\">\n      <path d=\"M 57.662188 194.996315 \nL 414.782188 194.996315 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_31\">\n      <g>\n       <use xlink:href=\"#m1709ee36d3\" x=\"57.662188\" y=\"194.996315\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- $\\mathdefault{10^{1}}$ -->\n      <g transform=\"translate(33.062188 198.795534) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625) scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_32\">\n      <path d=\"M 57.662188 116.68063 \nL 414.782188 116.68063 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_33\">\n      <g>\n       <use xlink:href=\"#m1709ee36d3\" x=\"57.662188\" y=\"116.68063\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- $\\mathdefault{10^{2}}$ -->\n      <g transform=\"translate(33.062188 120.479848) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_34\">\n      <path d=\"M 57.662188 38.364944 \nL 414.782188 38.364944 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_35\">\n      <g>\n       <use xlink:href=\"#m1709ee36d3\" x=\"57.662188\" y=\"38.364944\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- $\\mathdefault{10^{3}}$ -->\n      <g transform=\"translate(33.062188 42.164163) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875) scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_36\">\n      <defs>\n       <path id=\"m67ac22ba5f\" d=\"M 0 0 \nL -2 0 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"249.73663\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_37\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"235.945922\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_38\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"226.161259\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_39\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"218.571685\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_40\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"212.370552\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_10\">\n     <g id=\"line2d_41\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"207.127568\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_11\">\n     <g id=\"line2d_42\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"202.585889\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_12\">\n     <g id=\"line2d_43\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"198.579844\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_13\">\n     <g id=\"line2d_44\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"171.420944\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_14\">\n     <g id=\"line2d_45\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"157.630237\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_15\">\n     <g id=\"line2d_46\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"147.845574\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_16\">\n     <g id=\"line2d_47\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"140.256\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_17\">\n     <g id=\"line2d_48\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"134.054866\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_18\">\n     <g id=\"line2d_49\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"128.811883\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_19\">\n     <g id=\"line2d_50\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"124.270204\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_20\">\n     <g id=\"line2d_51\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"120.264159\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_21\">\n     <g id=\"line2d_52\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"93.105259\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_22\">\n     <g id=\"line2d_53\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"79.314552\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_23\">\n     <g id=\"line2d_54\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"69.529889\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_24\">\n     <g id=\"line2d_55\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"61.940315\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_25\">\n     <g id=\"line2d_56\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"55.739181\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_26\">\n     <g id=\"line2d_57\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"50.496198\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_27\">\n     <g id=\"line2d_58\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"45.954519\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_28\">\n     <g id=\"line2d_59\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"41.948474\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_29\">\n     <g id=\"line2d_60\">\n      <g>\n       <use xlink:href=\"#m67ac22ba5f\" x=\"57.662188\" y=\"14.789574\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_9\">\n     <!-- Aerosol number concentration -->\n     <g transform=\"translate(14.798438 216.041937) rotate(-90) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-41\" d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\nM 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2969 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-63\" d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-41\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"66.658203\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"128.181641\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"167.044922\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"228.226562\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"280.326172\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"341.507812\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"369.291016\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"401.078125\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"464.457031\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"527.835938\"/>\n      <use xlink:href=\"#DejaVuSans-62\" x=\"625.248047\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"688.724609\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"750.248047\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"791.361328\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"823.148438\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"878.128906\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"939.310547\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"1002.689453\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1057.669922\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1119.193359\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1182.572266\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"1221.78125\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1262.894531\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1324.173828\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1363.382812\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"1391.166016\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1452.347656\"/>\n     </g>\n     <!--  size distribution [cm$^{-3}$] -->\n     <g transform=\"translate(26.9825 200.106) rotate(-90) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-7a\" d=\"M 353 3500 \nL 3084 3500 \nL 3084 2975 \nL 922 459 \nL 3084 459 \nL 3084 0 \nL 275 0 \nL 275 525 \nL 2438 3041 \nL 353 3041 \nL 353 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(0 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-73\" transform=\"translate(31.787109 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(83.886719 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-7a\" transform=\"translate(111.669922 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(164.160156 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(225.683594 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-64\" transform=\"translate(257.470703 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(320.947266 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-73\" transform=\"translate(348.730469 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(400.830078 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-72\" transform=\"translate(440.039062 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(481.152344 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-62\" transform=\"translate(508.935547 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-75\" transform=\"translate(572.412109 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(635.791016 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(675 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" transform=\"translate(702.783203 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(763.964844 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(827.34375 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" transform=\"translate(859.130859 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-63\" transform=\"translate(898.144531 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(953.125 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(1051.494141 39.046875) scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(1110.146484 39.046875) scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" transform=\"translate(1157.416992 0.765625)\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_61\">\n    <path d=\"M 57.662188 216.251917 \nL 64.950351 198.322921 \nL 72.238514 181.870666 \nL 79.526677 166.89465 \nL 86.814841 153.394037 \nL 94.103004 141.367438 \nL 101.391167 130.812548 \nL 108.67933 121.725535 \nL 115.967494 114.100048 \nL 123.255657 107.925564 \nL 130.54382 103.184703 \nL 137.831983 99.848886 \nL 145.120147 97.871458 \nL 152.40831 97.177168 \nL 159.696473 97.647033 \nL 166.984636 99.098914 \nL 174.2728 101.268225 \nL 181.560963 103.801525 \nL 188.849126 106.285771 \nL 196.13729 108.333678 \nL 203.425453 109.710254 \nL 210.713616 110.430142 \nL 218.001779 110.751117 \nL 225.289943 111.069149 \nL 232.578106 111.793826 \nL 239.866269 113.269397 \nL 247.154432 115.750694 \nL 254.442596 119.411908 \nL 261.730759 124.366338 \nL 269.018922 130.685446 \nL 276.307085 138.413465 \nL 283.595249 147.577466 \nL 290.883412 158.193899 \nL 298.171575 170.27272 \nL 305.459739 183.819941 \nL 312.747902 198.839184 \nL 320.036065 215.332631 \nL 327.324228 233.301594 \nL 334.612392 252.746864 \nL 341.900555 273.668916 \nL 349.188718 296.068037 \nL 354.01167 311.86825 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_62\">\n    <path d=\"M 57.662188 170.260741 \nL 64.950351 153.154541 \nL 72.238514 137.3181 \nL 79.526677 122.751368 \nL 86.814841 109.454247 \nL 94.103004 97.426541 \nL 101.391167 86.667868 \nL 108.67933 77.177494 \nL 115.967494 68.954026 \nL 123.255657 61.994853 \nL 130.54382 56.295167 \nL 137.831983 51.846236 \nL 145.120147 48.632458 \nL 152.40831 46.626461 \nL 159.696473 45.781208 \nL 166.984636 46.017955 \nL 174.2728 47.209375 \nL 181.560963 49.15947 \nL 188.849126 51.58771 \nL 196.13729 54.134731 \nL 203.425453 56.414042 \nL 210.713616 58.119399 \nL 218.001779 59.148134 \nL 225.289943 59.657837 \nL 232.578106 60.009699 \nL 239.866269 60.643948 \nL 247.154432 61.97034 \nL 254.442596 64.314549 \nL 261.730759 67.911439 \nL 269.018922 72.920712 \nL 276.307085 79.44735 \nL 283.595249 87.559156 \nL 290.883412 97.299594 \nL 298.171575 108.696498 \nL 305.459739 121.767751 \nL 312.747902 136.524906 \nL 320.036065 152.975481 \nL 327.324228 171.12441 \nL 334.612392 190.974959 \nL 341.900555 212.52931 \nL 349.188718 235.788934 \nL 356.476881 260.754832 \nL 363.765045 287.427694 \nL 370.041467 311.86825 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_63\">\n    <path d=\"M 57.662188 65.854437 \nL 64.950351 55.902741 \nL 72.238514 47.332663 \nL 79.526677 40.144203 \nL 86.814841 34.337359 \nL 94.103004 29.912129 \nL 101.391167 26.868508 \nL 108.67933 25.206481 \nL 115.967494 24.926018 \nL 123.255657 26.02705 \nL 130.54382 28.509421 \nL 137.831983 32.372772 \nL 145.120147 37.616289 \nL 152.40831 44.238125 \nL 159.696473 52.234088 \nL 166.984636 61.594679 \nL 174.2728 72.298421 \nL 181.560963 84.296983 \nL 188.849126 97.482592 \nL 196.13729 111.619712 \nL 203.425453 126.215527 \nL 210.713616 140.330796 \nL 218.001779 152.489509 \nL 225.289943 161.123602 \nL 232.578106 165.659748 \nL 239.866269 167.046572 \nL 247.154432 166.921686 \nL 254.442596 166.633409 \nL 261.730759 166.986122 \nL 269.018922 168.389218 \nL 276.307085 171.035896 \nL 283.595249 175.014236 \nL 290.883412 180.363785 \nL 298.171575 187.102188 \nL 305.459739 195.237295 \nL 312.747902 204.772595 \nL 320.036065 215.709642 \nL 327.324228 228.049126 \nL 334.612392 241.791354 \nL 341.900555 256.936462 \nL 349.188718 273.484511 \nL 356.476881 291.43553 \nL 363.765045 310.789529 \nL 364.143803 311.86825 \n\" clip-path=\"url(#p1f0b50586c)\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 57.662188 273.312 \nL 57.662188 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 414.782188 273.312 \nL 414.782188 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 57.662188 273.312 \nL 414.782188 273.312 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 57.662188 7.2 \nL 414.782188 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 295.911875 59.234375 \nL 407.782188 59.234375 \nQ 409.782188 59.234375 409.782188 57.234375 \nL 409.782188 14.2 \nQ 409.782188 12.2 407.782188 12.2 \nL 295.911875 12.2 \nQ 293.911875 12.2 293.911875 14.2 \nL 293.911875 57.234375 \nQ 293.911875 59.234375 295.911875 59.234375 \nz\n\" style=\"fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter\"/>\n    </g>\n    <g id=\"line2d_64\">\n     <path d=\"M 297.911875 20.298437 \nL 307.911875 20.298437 \nL 317.911875 20.298437 \n\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- Marine (MA) -->\n     <g transform=\"translate(325.911875 23.798437) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4d\" d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-28\" d=\"M 1984 4856 \nQ 1566 4138 1362 3434 \nQ 1159 2731 1159 2009 \nQ 1159 1288 1364 580 \nQ 1569 -128 1984 -844 \nL 1484 -844 \nQ 1016 -109 783 600 \nQ 550 1309 550 2009 \nQ 550 2706 781 3412 \nQ 1013 4119 1484 4856 \nL 1984 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-29\" d=\"M 513 4856 \nL 1013 4856 \nQ 1481 4119 1714 3412 \nQ 1947 2706 1947 2009 \nQ 1947 1309 1714 600 \nQ 1481 -109 1013 -844 \nL 513 -844 \nQ 928 -128 1133 580 \nQ 1338 1288 1338 2009 \nQ 1338 2731 1133 3434 \nQ 928 4138 513 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4d\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"86.279297\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"147.558594\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"188.671875\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"216.455078\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"279.833984\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"341.357422\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"373.144531\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"412.158203\"/>\n      <use xlink:href=\"#DejaVuSans-41\" x=\"498.4375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"566.845703\"/>\n     </g>\n    </g>\n    <g id=\"line2d_65\">\n     <path d=\"M 297.911875 34.976562 \nL 307.911875 34.976562 \nL 317.911875 34.976562 \n\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- Boreal (HYY) -->\n     <g transform=\"translate(325.911875 38.476562) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-42\" d=\"M 1259 2228 \nL 1259 519 \nL 2272 519 \nQ 2781 519 3026 730 \nQ 3272 941 3272 1375 \nQ 3272 1813 3026 2020 \nQ 2781 2228 2272 2228 \nL 1259 2228 \nz\nM 1259 4147 \nL 1259 2741 \nL 2194 2741 \nQ 2656 2741 2882 2914 \nQ 3109 3088 3109 3444 \nQ 3109 3797 2882 3972 \nQ 2656 4147 2194 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2241 4666 \nQ 2963 4666 3353 4366 \nQ 3744 4066 3744 3513 \nQ 3744 3084 3544 2831 \nQ 3344 2578 2956 2516 \nQ 3422 2416 3680 2098 \nQ 3938 1781 3938 1306 \nQ 3938 681 3513 340 \nQ 3088 0 2303 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-48\" d=\"M 628 4666 \nL 1259 4666 \nL 1259 2753 \nL 3553 2753 \nL 3553 4666 \nL 4184 4666 \nL 4184 0 \nL 3553 0 \nL 3553 2222 \nL 1259 2222 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-59\" d=\"M -13 4666 \nL 666 4666 \nL 1959 2747 \nL 3244 4666 \nL 3922 4666 \nL 2272 2222 \nL 2272 0 \nL 1638 0 \nL 1638 2222 \nL -13 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-42\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"68.603516\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"129.785156\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"168.648438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"230.171875\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"291.451172\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"319.234375\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"351.021484\"/>\n      <use xlink:href=\"#DejaVuSans-48\" x=\"390.035156\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"465.230469\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"526.314453\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"587.398438\"/>\n     </g>\n    </g>\n    <g id=\"line2d_66\">\n     <path d=\"M 297.911875 49.654687 \nL 307.911875 49.654687 \nL 317.911875 49.654687 \n\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- NUM event (NE) -->\n     <g transform=\"translate(325.911875 53.154687) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-55\" d=\"M 556 4666 \nL 1191 4666 \nL 1191 1831 \nQ 1191 1081 1462 751 \nQ 1734 422 2344 422 \nQ 2950 422 3222 751 \nQ 3494 1081 3494 1831 \nL 3494 4666 \nL 4128 4666 \nL 4128 1753 \nQ 4128 841 3676 375 \nQ 3225 -91 2344 -91 \nQ 1459 -91 1007 375 \nQ 556 841 556 1753 \nL 556 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-76\" d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-45\" d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use xlink:href=\"#DejaVuSans-55\" x=\"74.804688\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"147.998047\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"234.277344\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"266.064453\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"327.587891\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"386.767578\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"448.291016\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"511.669922\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"550.878906\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"582.666016\"/>\n      <use xlink:href=\"#DejaVuSans-4e\" x=\"621.679688\"/>\n      <use xlink:href=\"#DejaVuSans-45\" x=\"696.484375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"759.667969\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p1f0b50586c\">\n   <rect x=\"57.662188\" y=\"7.2\" width=\"357.12\" height=\"266.112\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"408.462187pt\" height=\"262.19625pt\" viewBox=\"0 0 408.462187 262.19625\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2024-01-27T17:49:09.593011</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.5.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 262.19625 \nL 408.462187 262.19625 \nL 408.462187 0 \nL 0 0 \nL 0 262.19625 \nz\n\" style=\"fill: none\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 57.662188 224.64 \nL 392.462188 224.64 \nL 392.462188 7.2 \nL 57.662188 7.2 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path d=\"M 101.46207 224.64 \nL 101.46207 7.2 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path id=\"me1f61a0309\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#me1f61a0309\" x=\"101.46207\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- $\\mathdefault{10^{1}}$ -->\n      <g transform=\"translate(92.66207 239.238438)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-31\" d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path d=\"M 246.962129 224.64 \nL 246.962129 7.2 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#me1f61a0309\" x=\"246.962129\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- $\\mathdefault{10^{2}}$ -->\n      <g transform=\"translate(238.162129 239.238438)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path d=\"M 392.462188 224.64 \nL 392.462188 7.2 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use xlink:href=\"#me1f61a0309\" x=\"392.462188\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- $\\mathdefault{10^{3}}$ -->\n      <g transform=\"translate(383.662188 239.238438)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <defs>\n       <path id=\"m626af9840a\" d=\"M 0 0 \nL 0 2 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"57.662187\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"69.183063\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_9\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"78.923825\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_10\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"87.361657\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_11\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"94.804352\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"145.261952\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_13\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"170.88324\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_14\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"189.061834\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_12\">\n     <g id=\"line2d_15\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"203.162246\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_13\">\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"214.683122\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_14\">\n     <g id=\"line2d_17\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"224.423884\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_15\">\n     <g id=\"line2d_18\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"232.861716\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_16\">\n     <g id=\"line2d_19\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"240.304411\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_17\">\n     <g id=\"line2d_20\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"290.762011\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_18\">\n     <g id=\"line2d_21\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"316.383299\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_19\">\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"334.561893\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_20\">\n     <g id=\"line2d_23\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"348.662305\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_21\">\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"360.183181\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_22\">\n     <g id=\"line2d_25\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"369.923943\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_23\">\n     <g id=\"line2d_26\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"378.361775\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_24\">\n     <g id=\"line2d_27\">\n      <g>\n       <use xlink:href=\"#m626af9840a\" x=\"385.80447\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_4\">\n     <!-- Dry aerosol radius [nm] -->\n     <g transform=\"translate(165.837187 252.916563)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-44\" d=\"M 1259 4147 \nL 1259 519 \nL 2022 519 \nQ 2988 519 3436 956 \nQ 3884 1394 3884 2338 \nQ 3884 3275 3436 3711 \nQ 2988 4147 2022 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 1925 4666 \nQ 3281 4666 3915 4102 \nQ 4550 3538 4550 2338 \nQ 4550 1131 3912 565 \nQ 3275 0 1925 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-79\" d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5b\" d=\"M 550 4863 \nL 1875 4863 \nL 1875 4416 \nL 1125 4416 \nL 1125 -397 \nL 1875 -397 \nL 1875 -844 \nL 550 -844 \nL 550 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \nQ 3544 3216 3844 3400 \nQ 4144 3584 4550 3584 \nQ 5097 3584 5394 3201 \nQ 5691 2819 5691 2113 \nL 5691 0 \nL 5113 0 \nL 5113 2094 \nQ 5113 2597 4934 2840 \nQ 4756 3084 4391 3084 \nQ 3944 3084 3684 2787 \nQ 3425 2491 3425 1978 \nL 3425 0 \nL 2847 0 \nL 2847 2094 \nQ 2847 2600 2669 2842 \nQ 2491 3084 2119 3084 \nQ 1678 3084 1418 2786 \nQ 1159 2488 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1356 3278 1631 3431 \nQ 1906 3584 2284 3584 \nQ 2666 3584 2933 3390 \nQ 3200 3197 3328 2828 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5d\" d=\"M 1947 4863 \nL 1947 -844 \nL 622 -844 \nL 622 -397 \nL 1369 -397 \nL 1369 4416 \nL 622 4416 \nL 622 4863 \nL 1947 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-44\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"77.001953\"/>\n      <use xlink:href=\"#DejaVuSans-79\" x=\"118.115234\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"177.294922\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"209.082031\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"270.361328\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"331.884766\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"370.748047\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"431.929688\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"484.029297\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"545.210938\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"572.994141\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"604.78125\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"645.894531\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"707.173828\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"770.650391\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"798.433594\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"861.8125\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"913.912109\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"945.699219\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"984.712891\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"1048.091797\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"1145.503906\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_28\">\n      <path d=\"M 57.662188 224.64 \nL 392.462188 224.64 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_29\">\n      <defs>\n       <path id=\"md312740c37\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#md312740c37\" x=\"57.662188\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- $\\mathdefault{10^{0}}$ -->\n      <g transform=\"translate(33.062188 228.439219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_30\">\n      <path d=\"M 57.662188 160.648288 \nL 392.462188 160.648288 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_31\">\n      <g>\n       <use xlink:href=\"#md312740c37\" x=\"57.662188\" y=\"160.648288\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- $\\mathdefault{10^{1}}$ -->\n      <g transform=\"translate(33.062188 164.447506)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_32\">\n      <path d=\"M 57.662188 96.656575 \nL 392.462188 96.656575 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_33\">\n      <g>\n       <use xlink:href=\"#md312740c37\" x=\"57.662188\" y=\"96.656575\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- $\\mathdefault{10^{2}}$ -->\n      <g transform=\"translate(33.062188 100.455794)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_34\">\n      <path d=\"M 57.662188 32.664863 \nL 392.462188 32.664863 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_35\">\n      <g>\n       <use xlink:href=\"#md312740c37\" x=\"57.662188\" y=\"32.664863\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- $\\mathdefault{10^{3}}$ -->\n      <g transform=\"translate(33.062188 36.464081)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n       <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_36\">\n      <defs>\n       <path id=\"m2084f459fe\" d=\"M 0 0 \nL -2 0 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"205.376575\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_37\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"194.108194\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_38\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"186.11315\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_39\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"179.911712\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_40\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"174.844769\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_10\">\n     <g id=\"line2d_41\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"170.560729\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_11\">\n     <g id=\"line2d_42\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"166.849725\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_12\">\n     <g id=\"line2d_43\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"163.576388\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_13\">\n     <g id=\"line2d_44\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"141.384863\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_14\">\n     <g id=\"line2d_45\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"130.116481\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_15\">\n     <g id=\"line2d_46\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"122.121438\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_16\">\n     <g id=\"line2d_47\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"115.92\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_17\">\n     <g id=\"line2d_48\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"110.853056\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_18\">\n     <g id=\"line2d_49\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"106.569017\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_19\">\n     <g id=\"line2d_50\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"102.858013\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_20\">\n     <g id=\"line2d_51\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"99.584675\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_21\">\n     <g id=\"line2d_52\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"77.39315\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_22\">\n     <g id=\"line2d_53\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"66.124769\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_23\">\n     <g id=\"line2d_54\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"58.129725\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_24\">\n     <g id=\"line2d_55\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"51.928288\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_25\">\n     <g id=\"line2d_56\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"46.861344\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_26\">\n     <g id=\"line2d_57\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"42.577304\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_27\">\n     <g id=\"line2d_58\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"38.8663\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_28\">\n     <g id=\"line2d_59\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"35.592963\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_29\">\n     <g id=\"line2d_60\">\n      <g>\n       <use xlink:href=\"#m2084f459fe\" x=\"57.662188\" y=\"13.401438\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_9\">\n     <!-- Aerosol number concentration -->\n     <g transform=\"translate(14.798438 191.705938)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-41\" d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\nM 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2969 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-63\" d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-41\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"66.658203\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"128.181641\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"167.044922\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"228.226562\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"280.326172\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"341.507812\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"369.291016\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"401.078125\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"464.457031\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"527.835938\"/>\n      <use xlink:href=\"#DejaVuSans-62\" x=\"625.248047\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"688.724609\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"750.248047\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"791.361328\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"823.148438\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"878.128906\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"939.310547\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"1002.689453\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1057.669922\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1119.193359\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1182.572266\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"1221.78125\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1262.894531\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1324.173828\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1363.382812\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"1391.166016\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1452.347656\"/>\n     </g>\n     <!--  size distribution [cm$^{-3}$] -->\n     <g transform=\"translate(26.9825 175.77)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-7a\" d=\"M 353 3500 \nL 3084 3500 \nL 3084 2975 \nL 922 459 \nL 3084 459 \nL 3084 0 \nL 275 0 \nL 275 525 \nL 2438 3041 \nL 353 3041 \nL 353 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(0 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-73\" transform=\"translate(31.787109 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(83.886719 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-7a\" transform=\"translate(111.669922 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(164.160156 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(225.683594 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-64\" transform=\"translate(257.470703 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(320.947266 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-73\" transform=\"translate(348.730469 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(400.830078 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-72\" transform=\"translate(440.039062 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(481.152344 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-62\" transform=\"translate(508.935547 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-75\" transform=\"translate(572.412109 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(635.791016 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(675 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" transform=\"translate(702.783203 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(763.964844 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(827.34375 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" transform=\"translate(859.130859 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-63\" transform=\"translate(898.144531 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(953.125 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(1051.494141 39.046875)scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(1110.146484 39.046875)scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" transform=\"translate(1157.416992 0.765625)\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_61\">\n    <path d=\"M 57.662188 178.01623 \nL 64.494841 163.366456 \nL 71.327494 149.923326 \nL 78.160147 137.686429 \nL 84.9928 126.655084 \nL 91.825453 116.828156 \nL 98.658106 108.203759 \nL 105.490759 100.778765 \nL 112.323412 94.547983 \nL 119.156065 89.502814 \nL 125.988718 85.629059 \nL 132.821371 82.903365 \nL 139.654024 81.287609 \nL 146.486677 80.720305 \nL 153.31933 81.104232 \nL 160.151983 82.290563 \nL 166.984636 84.063106 \nL 173.81729 86.133064 \nL 180.649943 88.162941 \nL 187.482596 89.836285 \nL 194.315249 90.961084 \nL 201.147902 91.549304 \nL 207.980555 91.811573 \nL 214.813208 92.071437 \nL 221.645861 92.66357 \nL 228.478514 93.869259 \nL 235.311167 95.896725 \nL 242.14382 98.888301 \nL 248.976473 102.936564 \nL 255.809126 108.099904 \nL 262.641779 114.414466 \nL 269.474432 121.902366 \nL 276.307085 130.577049 \nL 283.139739 140.446649 \nL 289.972392 151.516078 \nL 296.805045 163.788294 \nL 303.637698 177.265083 \nL 310.470351 191.947515 \nL 317.303004 207.836236 \nL 324.135657 224.931636 \nL 330.96831 243.233948 \nL 337.800963 262.743311 \nL 337.95035 263.19625 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_62\">\n    <path d=\"M 57.662188 140.436861 \nL 64.494841 126.459393 \nL 71.327494 113.519443 \nL 78.160147 101.616973 \nL 84.9928 90.751901 \nL 91.825453 80.924067 \nL 98.658106 72.133161 \nL 105.490759 64.37858 \nL 112.323412 57.659188 \nL 119.156065 51.972851 \nL 125.988718 47.31564 \nL 132.821371 43.68042 \nL 139.654024 41.054444 \nL 146.486677 39.415344 \nL 153.31933 38.724688 \nL 160.151983 38.918134 \nL 166.984636 39.891643 \nL 173.81729 41.485065 \nL 180.649943 43.469179 \nL 187.482596 45.550348 \nL 194.315249 47.412772 \nL 201.147902 48.806219 \nL 207.980555 49.646798 \nL 214.813208 50.063276 \nL 221.645861 50.350782 \nL 228.478514 50.869027 \nL 235.311167 51.952821 \nL 242.14382 53.868273 \nL 248.976473 56.807291 \nL 255.809126 60.900365 \nL 262.641779 66.233279 \nL 269.474432 72.861432 \nL 276.307085 80.820339 \nL 283.139739 90.132745 \nL 289.972392 100.81326 \nL 296.805045 112.871325 \nL 303.637698 126.313082 \nL 310.470351 141.142565 \nL 317.303004 157.36244 \nL 324.135657 174.97449 \nL 330.96831 193.979919 \nL 337.800963 214.379544 \nL 344.633616 236.173928 \nL 351.466269 259.363461 \nL 352.531478 263.19625 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_63\">\n    <path d=\"M 57.662188 55.126515 \nL 64.494841 46.994988 \nL 71.327494 39.992382 \nL 78.160147 34.118694 \nL 84.9928 29.373924 \nL 91.825453 25.758071 \nL 98.658106 23.271129 \nL 105.490759 21.913087 \nL 112.323412 21.683922 \nL 119.156065 22.583575 \nL 125.988718 24.611919 \nL 132.821371 27.768661 \nL 139.654024 32.053136 \nL 146.486677 37.463836 \nL 153.31933 43.997334 \nL 160.151983 51.645868 \nL 166.984636 60.391892 \nL 173.81729 70.195911 \nL 180.649943 80.969867 \nL 187.482596 92.521301 \nL 194.315249 104.447535 \nL 201.147902 115.981116 \nL 207.980555 125.915995 \nL 214.813208 132.970908 \nL 221.645861 136.677392 \nL 228.478514 137.810565 \nL 235.311167 137.70852 \nL 242.14382 137.472969 \nL 248.976473 137.761171 \nL 255.809126 138.907641 \nL 262.641779 141.07024 \nL 269.474432 144.320939 \nL 276.307085 148.692054 \nL 283.139739 154.198 \nL 289.972392 160.845192 \nL 296.805045 168.636482 \nL 303.637698 177.573138 \nL 310.470351 187.655725 \nL 317.303004 198.884493 \nL 324.135657 211.259555 \nL 330.96831 224.780959 \nL 337.800963 239.448729 \nL 344.633616 255.262873 \nL 347.829627 263.19625 \n\" clip-path=\"url(#p384580c8a4)\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 57.662188 224.64 \nL 57.662188 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 392.462188 224.64 \nL 392.462188 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 57.662187 224.64 \nL 392.462188 224.64 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 57.662187 7.2 \nL 392.462188 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 273.591875 59.234375 \nL 385.462188 59.234375 \nQ 387.462188 59.234375 387.462188 57.234375 \nL 387.462188 14.2 \nQ 387.462188 12.2 385.462188 12.2 \nL 273.591875 12.2 \nQ 271.591875 12.2 271.591875 14.2 \nL 271.591875 57.234375 \nQ 271.591875 59.234375 273.591875 59.234375 \nz\n\" style=\"fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter\"/>\n    </g>\n    <g id=\"line2d_64\">\n     <path d=\"M 275.591875 20.298438 \nL 285.591875 20.298438 \nL 295.591875 20.298438 \n\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- Marine (MA) -->\n     <g transform=\"translate(303.591875 23.798438)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4d\" d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-28\" d=\"M 1984 4856 \nQ 1566 4138 1362 3434 \nQ 1159 2731 1159 2009 \nQ 1159 1288 1364 580 \nQ 1569 -128 1984 -844 \nL 1484 -844 \nQ 1016 -109 783 600 \nQ 550 1309 550 2009 \nQ 550 2706 781 3412 \nQ 1013 4119 1484 4856 \nL 1984 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-29\" d=\"M 513 4856 \nL 1013 4856 \nQ 1481 4119 1714 3412 \nQ 1947 2706 1947 2009 \nQ 1947 1309 1714 600 \nQ 1481 -109 1013 -844 \nL 513 -844 \nQ 928 -128 1133 580 \nQ 1338 1288 1338 2009 \nQ 1338 2731 1133 3434 \nQ 928 4138 513 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4d\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"86.279297\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"147.558594\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"188.671875\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"216.455078\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"279.833984\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"341.357422\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"373.144531\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"412.158203\"/>\n      <use xlink:href=\"#DejaVuSans-41\" x=\"498.4375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"566.845703\"/>\n     </g>\n    </g>\n    <g id=\"line2d_65\">\n     <path d=\"M 275.591875 34.976563 \nL 285.591875 34.976563 \nL 295.591875 34.976563 \n\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- Boreal (HYY) -->\n     <g transform=\"translate(303.591875 38.476563)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-42\" d=\"M 1259 2228 \nL 1259 519 \nL 2272 519 \nQ 2781 519 3026 730 \nQ 3272 941 3272 1375 \nQ 3272 1813 3026 2020 \nQ 2781 2228 2272 2228 \nL 1259 2228 \nz\nM 1259 4147 \nL 1259 2741 \nL 2194 2741 \nQ 2656 2741 2882 2914 \nQ 3109 3088 3109 3444 \nQ 3109 3797 2882 3972 \nQ 2656 4147 2194 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2241 4666 \nQ 2963 4666 3353 4366 \nQ 3744 4066 3744 3513 \nQ 3744 3084 3544 2831 \nQ 3344 2578 2956 2516 \nQ 3422 2416 3680 2098 \nQ 3938 1781 3938 1306 \nQ 3938 681 3513 340 \nQ 3088 0 2303 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-48\" d=\"M 628 4666 \nL 1259 4666 \nL 1259 2753 \nL 3553 2753 \nL 3553 4666 \nL 4184 4666 \nL 4184 0 \nL 3553 0 \nL 3553 2222 \nL 1259 2222 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-59\" d=\"M -13 4666 \nL 666 4666 \nL 1959 2747 \nL 3244 4666 \nL 3922 4666 \nL 2272 2222 \nL 2272 0 \nL 1638 0 \nL 1638 2222 \nL -13 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-42\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"68.603516\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"129.785156\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"168.648438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"230.171875\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"291.451172\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"319.234375\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"351.021484\"/>\n      <use xlink:href=\"#DejaVuSans-48\" x=\"390.035156\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"465.230469\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"526.314453\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"587.398438\"/>\n     </g>\n    </g>\n    <g id=\"line2d_66\">\n     <path d=\"M 275.591875 49.654688 \nL 285.591875 49.654688 \nL 295.591875 49.654688 \n\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- NUM event (NE) -->\n     <g transform=\"translate(303.591875 53.154688)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-55\" d=\"M 556 4666 \nL 1191 4666 \nL 1191 1831 \nQ 1191 1081 1462 751 \nQ 1734 422 2344 422 \nQ 2950 422 3222 751 \nQ 3494 1081 3494 1831 \nL 3494 4666 \nL 4128 4666 \nL 4128 1753 \nQ 4128 841 3676 375 \nQ 3225 -91 2344 -91 \nQ 1459 -91 1007 375 \nQ 556 841 556 1753 \nL 556 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-76\" d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-45\" d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use xlink:href=\"#DejaVuSans-55\" x=\"74.804688\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"147.998047\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"234.277344\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"266.064453\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"327.587891\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"386.767578\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"448.291016\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"511.669922\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"550.878906\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"582.666016\"/>\n      <use xlink:href=\"#DejaVuSans-4e\" x=\"621.679688\"/>\n      <use xlink:href=\"#DejaVuSans-45\" x=\"696.484375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"759.667969\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p384580c8a4\">\n   <rect x=\"57.662188\" y=\"7.2\" width=\"334.8\" height=\"217.44\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "be2119339d794395afd39cf84f29ae91",
+       "model_id": "1bf7183749b7407abc174d1c93f5b383",
        "version_major": 2,
        "version_minor": 0
       },
@@ -165,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T11:52:34.847271Z",
@@ -175,18 +178,20 @@
    "outputs": [
     {
      "data": {
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"424.434063pt\" height=\"310.86825pt\" viewBox=\"0 0 424.434063 310.86825\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2023-12-29T12:52:34.747834</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.8.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 310.86825 \nL 424.434063 310.86825 \nL 424.434063 0 \nL 0 0 \nz\n\" style=\"fill: #ffffff\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 47.389063 273.312 \nL 404.509063 273.312 \nL 404.509063 7.2 \nL 47.389063 7.2 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path d=\"M 130.01885 273.312 \nL 130.01885 7.2 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path id=\"m8cad41f48b\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m8cad41f48b\" x=\"130.01885\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 300 -->\n      <g transform=\"translate(120.4751 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path d=\"M 190.91416 273.312 \nL 190.91416 7.2 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#m8cad41f48b\" x=\"190.91416\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 500 -->\n      <g transform=\"translate(181.37041 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-35\" d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path d=\"M 231.024876 273.312 \nL 231.024876 7.2 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use xlink:href=\"#m8cad41f48b\" x=\"231.024876\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 700 -->\n      <g transform=\"translate(221.481126 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-37\" d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path d=\"M 273.543948 273.312 \nL 273.543948 7.2 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#m8cad41f48b\" x=\"273.543948\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 1000 -->\n      <g transform=\"translate(260.818948 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-31\" d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"190.869141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path d=\"M 404.509063 273.312 \nL 404.509063 7.2 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use xlink:href=\"#m8cad41f48b\" x=\"404.509063\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 3000 -->\n      <g transform=\"translate(391.784063 287.910437) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"190.869141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <defs>\n       <path id=\"ma165f174fd\" d=\"M 0 0 \nL 0 2 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#ma165f174fd\" x=\"81.683523\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#ma165f174fd\" x=\"164.31331\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_13\">\n      <g>\n       <use xlink:href=\"#ma165f174fd\" x=\"212.648637\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_14\">\n      <g>\n       <use xlink:href=\"#ma165f174fd\" x=\"246.943098\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_15\">\n      <g>\n       <use xlink:href=\"#ma165f174fd\" x=\"260.983965\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#ma165f174fd\" x=\"356.173735\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_6\">\n     <!-- Wet radius [nm] -->\n     <g transform=\"translate(185.687344 301.588562) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-57\" d=\"M 213 4666 \nL 850 4666 \nL 1831 722 \nL 2809 4666 \nL 3519 4666 \nL 4500 722 \nL 5478 4666 \nL 6119 4666 \nL 4947 0 \nL 4153 0 \nL 3169 4050 \nL 2175 0 \nL 1381 0 \nL 213 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5b\" d=\"M 550 4863 \nL 1875 4863 \nL 1875 4416 \nL 1125 4416 \nL 1125 -397 \nL 1875 -397 \nL 1875 -844 \nL 550 -844 \nL 550 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \nQ 3544 3216 3844 3400 \nQ 4144 3584 4550 3584 \nQ 5097 3584 5394 3201 \nQ 5691 2819 5691 2113 \nL 5691 0 \nL 5113 0 \nL 5113 2094 \nQ 5113 2597 4934 2840 \nQ 4756 3084 4391 3084 \nQ 3944 3084 3684 2787 \nQ 3425 2491 3425 1978 \nL 3425 0 \nL 2847 0 \nL 2847 2094 \nQ 2847 2600 2669 2842 \nQ 2491 3084 2119 3084 \nQ 1678 3084 1418 2786 \nQ 1159 2488 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1356 3278 1631 3431 \nQ 1906 3584 2284 3584 \nQ 2666 3584 2933 3390 \nQ 3200 3197 3328 2828 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5d\" d=\"M 1947 4863 \nL 1947 -844 \nL 622 -844 \nL 622 -397 \nL 1369 -397 \nL 1369 4416 \nL 622 4416 \nL 622 4863 \nL 1947 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-57\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"93.001953\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"154.525391\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"193.734375\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"225.521484\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"266.634766\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"327.914062\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"391.390625\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"419.173828\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"482.552734\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"534.652344\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"566.439453\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"605.453125\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"668.832031\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"766.244141\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_17\">\n      <path d=\"M 47.389063 273.312 \nL 404.509063 273.312 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <defs>\n       <path id=\"mec54f725a2\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#mec54f725a2\" x=\"47.389063\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- -0.1 -->\n      <g transform=\"translate(20.878125 277.111219) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-2d\" d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-2e\" d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2d\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"36.083984\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"99.707031\"/>\n       <use xlink:href=\"#DejaVuSans-31\" x=\"131.494141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_19\">\n      <path d=\"M 47.389063 214.176 \nL 404.509063 214.176 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use xlink:href=\"#mec54f725a2\" x=\"47.389063\" y=\"214.176\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(34.026563 217.975219) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_21\">\n      <path d=\"M 47.389063 155.04 \nL 404.509063 155.04 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#mec54f725a2\" x=\"47.389063\" y=\"155.04\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.1 -->\n      <g transform=\"translate(24.485938 158.839219) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-31\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_23\">\n      <path d=\"M 47.389063 95.904 \nL 404.509063 95.904 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#mec54f725a2\" x=\"47.389063\" y=\"95.904\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.2 -->\n      <g transform=\"translate(24.485938 99.703219) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-32\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_25\">\n      <path d=\"M 47.389063 36.768 \nL 404.509063 36.768 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_26\">\n      <g>\n       <use xlink:href=\"#mec54f725a2\" x=\"47.389063\" y=\"36.768\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.3 -->\n      <g transform=\"translate(24.485938 40.567219) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-33\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_12\">\n     <!-- Equilibrium supersaturation [%] -->\n     <g transform=\"translate(14.798438 219.988031) rotate(-90) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-45\" d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-71\" d=\"M 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\nM 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nL 2906 3500 \nL 3481 3500 \nL 3481 -1331 \nL 2906 -1331 \nL 2906 525 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\nM 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2969 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-70\" d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-25\" d=\"M 4653 2053 \nQ 4381 2053 4226 1822 \nQ 4072 1591 4072 1178 \nQ 4072 772 4226 539 \nQ 4381 306 4653 306 \nQ 4919 306 5073 539 \nQ 5228 772 5228 1178 \nQ 5228 1588 5073 1820 \nQ 4919 2053 4653 2053 \nz\nM 4653 2450 \nQ 5147 2450 5437 2106 \nQ 5728 1763 5728 1178 \nQ 5728 594 5436 251 \nQ 5144 -91 4653 -91 \nQ 4153 -91 3862 251 \nQ 3572 594 3572 1178 \nQ 3572 1766 3864 2108 \nQ 4156 2450 4653 2450 \nz\nM 1428 4353 \nQ 1159 4353 1004 4120 \nQ 850 3888 850 3481 \nQ 850 3069 1003 2837 \nQ 1156 2606 1428 2606 \nQ 1700 2606 1854 2837 \nQ 2009 3069 2009 3481 \nQ 2009 3884 1853 4118 \nQ 1697 4353 1428 4353 \nz\nM 4250 4750 \nL 4750 4750 \nL 1831 -91 \nL 1331 -91 \nL 4250 4750 \nz\nM 1428 4750 \nQ 1922 4750 2215 4408 \nQ 2509 4066 2509 3481 \nQ 2509 2891 2217 2550 \nQ 1925 2209 1428 2209 \nQ 931 2209 642 2551 \nQ 353 2894 353 3481 \nQ 353 4063 643 4406 \nQ 934 4750 1428 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n      <use xlink:href=\"#DejaVuSans-71\" x=\"63.183594\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"126.660156\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"190.039062\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"217.822266\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"245.605469\"/>\n      <use xlink:href=\"#DejaVuSans-62\" x=\"273.388672\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"336.865234\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"377.978516\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"405.761719\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"469.140625\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"566.552734\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"598.339844\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"650.439453\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"713.818359\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"777.294922\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"838.818359\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"879.931641\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"932.03125\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"993.310547\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"1032.519531\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"1095.898438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1137.011719\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1198.291016\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1237.5\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"1265.283203\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1326.464844\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"1389.84375\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"1421.630859\"/>\n      <use xlink:href=\"#DejaVuSans-25\" x=\"1460.644531\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"1555.664062\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_27\">\n    <path d=\"M 88.565771 311.86825 \nL 90.676335 296.557746 \nL 94.283608 273.159867 \nL 97.890881 252.276803 \nL 101.498153 233.67588 \nL 105.105426 217.145045 \nL 108.712699 202.491065 \nL 112.319972 189.537882 \nL 115.927244 178.125107 \nL 119.534517 168.106654 \nL 123.14179 159.349482 \nL 126.749063 151.732456 \nL 130.356335 145.1453 \nL 133.963608 139.487647 \nL 137.570881 134.668166 \nL 141.178153 130.603771 \nL 144.785426 127.218895 \nL 148.392699 124.444828 \nL 151.999972 122.219111 \nL 155.607244 120.48499 \nL 159.214517 119.190908 \nL 162.82179 118.290046 \nL 166.429063 117.739908 \nL 170.036335 117.501933 \nL 173.643608 117.541151 \nL 177.250881 117.825859 \nL 180.858153 118.327335 \nL 184.465426 119.01957 \nL 188.072699 119.879027 \nL 191.679972 120.884418 \nL 195.287244 122.016508 \nL 198.894517 123.257922 \nL 202.50179 124.592988 \nL 206.109063 126.007576 \nL 209.716335 127.48896 \nL 213.323608 129.025695 \nL 216.930881 130.607495 \nL 220.538153 132.225131 \nL 224.145426 133.870333 \nL 227.752699 135.535704 \nL 231.359972 137.214636 \nL 234.967244 138.90124 \nL 238.574517 140.59028 \nL 242.18179 142.277108 \nL 245.789063 143.957614 \nL 249.396335 145.628171 \nL 253.003608 147.285592 \nL 256.610881 148.927088 \nL 260.218153 150.550228 \nL 263.825426 152.152907 \nL 267.432699 153.73331 \nL 271.039972 155.289891 \nL 274.647244 156.821337 \nL 278.254517 158.326554 \nL 281.86179 159.804638 \nL 285.469063 161.254858 \nL 289.076335 162.676641 \nL 292.683608 164.06955 \nL 296.290881 165.433273 \nL 299.898153 166.767612 \nL 303.505426 168.072464 \nL 307.112699 169.347815 \nL 310.719972 170.593729 \nL 314.327244 171.810341 \nL 317.934517 172.997842 \nL 321.54179 174.156481 \nL 325.149063 175.286551 \nL 328.756335 176.388385 \nL 332.363608 177.462352 \nL 335.970881 178.508851 \nL 339.578153 179.528307 \nL 343.185426 180.521166 \nL 346.792699 181.487891 \nL 350.399972 182.428961 \nL 354.007244 183.344867 \nL 357.614517 184.236108 \nL 361.22179 185.10319 \nL 364.829063 185.946626 \nL 368.436335 186.766929 \nL 372.043608 187.564614 \nL 375.650881 188.340197 \nL 379.258153 189.09419 \nL 382.865426 189.827106 \nL 386.472699 190.539451 \nL 390.079972 191.231727 \nL 393.687244 191.904432 \nL 397.294517 192.558056 \nL 400.90179 193.193085 \nL 404.509063 193.809996 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_28\">\n    <path d=\"M 56.867414 311.86825 \nL 58.210881 299.867241 \nL 61.818153 271.095792 \nL 65.425426 245.457091 \nL 69.032699 222.660319 \nL 72.639972 202.44046 \nL 76.247244 184.556046 \nL 79.854517 168.787093 \nL 83.46179 154.933226 \nL 87.069063 142.811956 \nL 90.676335 132.257121 \nL 94.283608 123.117445 \nL 97.890881 115.255241 \nL 101.498153 108.545212 \nL 105.105426 102.873365 \nL 108.712699 98.136018 \nL 112.319972 94.23889 \nL 115.927244 91.096275 \nL 119.534517 88.630287 \nL 123.14179 86.770169 \nL 126.749063 85.451662 \nL 130.356335 84.616432 \nL 133.963608 84.211546 \nL 137.570881 84.188991 \nL 141.178153 84.505239 \nL 144.785426 85.120849 \nL 148.392699 86.0001 \nL 151.999972 87.110662 \nL 155.607244 88.423294 \nL 159.214517 89.911564 \nL 162.82179 91.551598 \nL 166.429063 93.321855 \nL 170.036335 95.202908 \nL 173.643608 97.177261 \nL 177.250881 99.229172 \nL 180.858153 101.344491 \nL 184.465426 103.510517 \nL 188.072699 105.715868 \nL 191.679972 107.950355 \nL 195.287244 110.204878 \nL 198.894517 112.47132 \nL 202.50179 114.74246 \nL 206.109063 117.011888 \nL 209.716335 119.273929 \nL 213.323608 121.523574 \nL 216.930881 123.756417 \nL 220.538153 125.968597 \nL 224.145426 128.156749 \nL 227.752699 130.317952 \nL 231.359972 132.449686 \nL 234.967244 134.549799 \nL 238.574517 136.616462 \nL 242.18179 138.648143 \nL 245.789063 140.643574 \nL 249.396335 142.601728 \nL 253.003608 144.521787 \nL 256.610881 146.40313 \nL 260.218153 148.245302 \nL 263.825426 150.048004 \nL 267.432699 151.811074 \nL 271.039972 153.534468 \nL 274.647244 155.218252 \nL 278.254517 156.862587 \nL 281.86179 158.467715 \nL 285.469063 160.033955 \nL 289.076335 161.561689 \nL 292.683608 163.051355 \nL 296.290881 164.503439 \nL 299.898153 165.91847 \nL 303.505426 167.297011 \nL 307.112699 168.639657 \nL 310.719972 169.947026 \nL 314.327244 171.219759 \nL 317.934517 172.458512 \nL 321.54179 173.663955 \nL 325.149063 174.836767 \nL 328.756335 175.977633 \nL 332.363608 177.087246 \nL 335.970881 178.166298 \nL 339.578153 179.215481 \nL 343.185426 180.235487 \nL 346.792699 181.227003 \nL 350.399972 182.190713 \nL 354.007244 183.127295 \nL 357.614517 184.037417 \nL 361.22179 184.921742 \nL 364.829063 185.780924 \nL 368.436335 186.615607 \nL 372.043608 187.426424 \nL 375.650881 188.213999 \nL 379.258153 188.978944 \nL 382.865426 189.721861 \nL 386.472699 190.443339 \nL 390.079972 191.143956 \nL 393.687244 191.824277 \nL 397.294517 192.484858 \nL 400.90179 193.126239 \nL 404.509063 193.74895 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_29\">\n    <path d=\"M 69.453978 311.86825 \nL 72.639972 286.919474 \nL 76.247244 261.703871 \nL 79.854517 239.239938 \nL 83.46179 219.272089 \nL 87.069063 201.567416 \nL 90.676335 185.913712 \nL 94.283608 172.117654 \nL 97.890881 160.003153 \nL 101.498153 149.409847 \nL 105.105426 140.191719 \nL 108.712699 132.21584 \nL 112.319972 125.361224 \nL 115.927244 119.517776 \nL 119.534517 114.585337 \nL 123.14179 110.472809 \nL 126.749063 107.097358 \nL 130.356335 104.383689 \nL 133.963608 102.263377 \nL 137.570881 100.674263 \nL 141.178153 99.559899 \nL 144.785426 98.869048 \nL 148.392699 98.555214 \nL 151.999972 98.576229 \nL 155.607244 98.893865 \nL 159.214517 99.473486 \nL 162.82179 100.283725 \nL 166.429063 101.296197 \nL 170.036335 102.485228 \nL 173.643608 103.827613 \nL 177.250881 105.302398 \nL 180.858153 106.890675 \nL 184.465426 108.575397 \nL 188.072699 110.341211 \nL 191.679972 112.174306 \nL 195.287244 114.062269 \nL 198.894517 115.993962 \nL 202.50179 117.959403 \nL 206.109063 119.949661 \nL 209.716335 121.956759 \nL 213.323608 123.973584 \nL 216.930881 125.993812 \nL 220.538153 128.011829 \nL 224.145426 130.022667 \nL 227.752699 132.021943 \nL 231.359972 134.005803 \nL 234.967244 135.970874 \nL 238.574517 137.914214 \nL 242.18179 139.833275 \nL 245.789063 141.725859 \nL 249.396335 143.590091 \nL 253.003608 145.424379 \nL 256.610881 147.227393 \nL 260.218153 148.998035 \nL 263.825426 150.735414 \nL 267.432699 152.43883 \nL 271.039972 154.107747 \nL 274.647244 155.741781 \nL 278.254517 157.340683 \nL 281.86179 158.904322 \nL 285.469063 160.432673 \nL 289.076335 161.925805 \nL 292.683608 163.383873 \nL 296.290881 164.8071 \nL 299.898153 166.195779 \nL 303.505426 167.550255 \nL 307.112699 168.870924 \nL 310.719972 170.158224 \nL 314.327244 171.412629 \nL 317.934517 172.634644 \nL 321.54179 173.824802 \nL 325.149063 174.983655 \nL 328.756335 176.111775 \nL 332.363608 177.209747 \nL 335.970881 178.278167 \nL 339.578153 179.317642 \nL 343.185426 180.328782 \nL 346.792699 181.312203 \nL 350.399972 182.268519 \nL 354.007244 183.198348 \nL 357.614517 184.102304 \nL 361.22179 184.980999 \nL 364.829063 185.835038 \nL 368.436335 186.665025 \nL 372.043608 187.471553 \nL 375.650881 188.255212 \nL 379.258153 189.016581 \nL 382.865426 189.756231 \nL 386.472699 190.474727 \nL 390.079972 191.17262 \nL 393.687244 191.850454 \nL 397.294517 192.508763 \nL 400.90179 193.148069 \nL 404.509063 193.768886 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_30\">\n    <path clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_31\">\n    <path d=\"M 106.594159 311.86825 \nL 108.712699 301.832638 \nL 112.319972 286.466126 \nL 115.927244 272.664426 \nL 119.534517 260.284846 \nL 123.14179 249.197285 \nL 126.749063 239.283131 \nL 130.356335 230.43426 \nL 133.963608 222.552116 \nL 137.570881 215.546879 \nL 141.178153 209.336702 \nL 144.785426 203.84701 \nL 148.392699 199.009868 \nL 151.999972 194.763395 \nL 155.607244 191.051238 \nL 159.214517 185.934632 \nL 162.82179 179.241177 \nL 166.429063 173.401191 \nL 170.036335 168.332477 \nL 173.643608 163.960216 \nL 177.250881 160.216319 \nL 180.858153 157.038831 \nL 184.465426 154.371398 \nL 188.072699 152.16277 \nL 191.679972 150.366352 \nL 195.287244 148.939798 \nL 198.894517 147.844631 \nL 202.50179 147.045903 \nL 206.109063 146.511884 \nL 209.716335 146.213778 \nL 213.323608 146.12546 \nL 216.930881 146.223242 \nL 220.538153 146.485654 \nL 224.145426 146.893248 \nL 227.752699 147.428419 \nL 231.359972 148.075237 \nL 234.967244 148.819302 \nL 238.574517 149.647602 \nL 242.18179 150.548391 \nL 245.789063 151.511074 \nL 249.396335 152.526106 \nL 253.003608 153.584892 \nL 256.610881 154.679706 \nL 260.218153 155.803609 \nL 263.825426 156.950376 \nL 267.432699 158.114435 \nL 271.039972 159.290803 \nL 274.647244 160.475034 \nL 278.254517 161.663168 \nL 281.86179 162.851687 \nL 285.469063 164.037473 \nL 289.076335 165.21777 \nL 292.683608 166.39015 \nL 296.290881 167.552484 \nL 299.898153 168.70291 \nL 303.505426 169.83981 \nL 307.112699 170.961784 \nL 310.719972 172.067634 \nL 314.327244 173.156335 \nL 317.934517 174.227027 \nL 321.54179 175.278993 \nL 325.149063 176.311648 \nL 328.756335 177.324521 \nL 332.363608 178.317247 \nL 335.970881 179.289556 \nL 339.578153 180.24126 \nL 343.185426 181.172247 \nL 346.792699 182.082469 \nL 350.399972 182.97194 \nL 354.007244 183.840725 \nL 357.614517 184.688934 \nL 361.22179 185.516719 \nL 364.829063 186.324268 \nL 368.436335 187.111798 \nL 372.043608 187.879554 \nL 375.650881 188.627806 \nL 379.258153 189.35684 \nL 382.865426 190.066962 \nL 386.472699 190.758492 \nL 390.079972 191.431759 \nL 393.687244 192.087105 \nL 397.294517 192.724876 \nL 400.90179 193.345428 \nL 404.509063 193.949118 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_32\">\n    <path d=\"M 60.393785 311.86825 \nL 61.818153 303.39554 \nL 65.425426 284.153443 \nL 69.032699 266.923961 \nL 72.639972 251.522219 \nL 76.247244 237.779693 \nL 79.854517 225.542777 \nL 83.46179 214.671482 \nL 87.069063 205.038246 \nL 90.676335 196.526846 \nL 94.283608 189.031409 \nL 97.890881 182.455501 \nL 101.498153 176.711305 \nL 105.105426 171.718862 \nL 108.712699 167.405386 \nL 112.319972 163.704631 \nL 115.927244 160.556319 \nL 119.534517 157.905614 \nL 123.14179 155.702645 \nL 126.749063 153.902067 \nL 130.356335 152.462666 \nL 133.963608 151.346989 \nL 137.570881 150.521018 \nL 141.178153 149.953863 \nL 144.785426 149.617484 \nL 148.392699 149.486444 \nL 151.999972 149.537673 \nL 155.607244 149.750259 \nL 159.214517 150.105257 \nL 162.82179 150.585514 \nL 166.429063 151.175508 \nL 170.036335 151.861203 \nL 173.643608 152.629914 \nL 177.250881 153.470191 \nL 180.858153 154.3717 \nL 184.465426 155.325129 \nL 188.072699 156.322094 \nL 191.679972 157.355051 \nL 195.287244 158.417227 \nL 198.894517 159.502542 \nL 202.50179 160.605551 \nL 206.109063 159.925447 \nL 209.716335 158.463176 \nL 213.323608 157.311735 \nL 216.930881 156.438664 \nL 220.538153 155.814486 \nL 224.145426 155.412439 \nL 227.752699 155.208239 \nL 231.359972 155.179858 \nL 234.967244 155.307324 \nL 238.574517 155.57254 \nL 242.18179 155.959115 \nL 245.789063 156.452214 \nL 249.396335 157.038416 \nL 253.003608 157.70559 \nL 256.610881 158.442781 \nL 260.218153 159.240097 \nL 263.825426 160.088622 \nL 267.432699 160.980323 \nL 271.039972 161.90797 \nL 274.647244 162.865067 \nL 278.254517 163.845779 \nL 281.86179 164.844878 \nL 285.469063 165.857683 \nL 289.076335 166.880012 \nL 292.683608 167.908133 \nL 296.290881 168.938728 \nL 299.898153 169.968848 \nL 303.505426 170.995883 \nL 307.112699 172.017528 \nL 310.719972 173.031754 \nL 314.327244 174.036784 \nL 317.934517 175.031067 \nL 321.54179 176.013255 \nL 325.149063 176.982187 \nL 328.756335 177.936867 \nL 332.363608 178.876452 \nL 335.970881 179.800231 \nL 339.578153 180.707616 \nL 343.185426 181.59813 \nL 346.792699 182.471393 \nL 350.399972 183.327112 \nL 354.007244 184.165073 \nL 357.614517 184.985134 \nL 361.22179 185.787214 \nL 364.829063 186.571288 \nL 368.436335 187.337381 \nL 372.043608 188.085561 \nL 375.650881 188.815934 \nL 379.258153 189.528642 \nL 382.865426 190.223855 \nL 386.472699 190.901768 \nL 390.079972 191.562602 \nL 393.687244 192.206592 \nL 397.294517 192.833995 \nL 400.90179 193.445077 \nL 404.509063 194.040119 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_33\">\n    <path d=\"M 79.579553 311.86825 \nL 79.854517 310.321402 \nL 83.46179 292.092917 \nL 87.069063 275.740957 \nL 90.676335 261.093892 \nL 94.283608 247.99525 \nL 97.890881 236.30239 \nL 101.498153 225.885296 \nL 105.105426 216.625476 \nL 108.712699 208.414951 \nL 112.319972 201.155337 \nL 115.927244 194.757008 \nL 119.534517 189.138326 \nL 123.14179 184.224945 \nL 126.749063 179.949169 \nL 130.356335 176.249369 \nL 133.963608 173.069454 \nL 137.570881 170.358382 \nL 141.178153 168.069716 \nL 144.785426 166.161222 \nL 148.392699 164.594497 \nL 151.999972 163.334631 \nL 155.607244 162.3499 \nL 159.214517 161.611486 \nL 162.82179 161.093219 \nL 166.429063 160.771342 \nL 170.036335 160.624299 \nL 173.643608 160.632539 \nL 177.250881 160.778338 \nL 180.858153 161.045637 \nL 184.465426 161.419894 \nL 188.072699 161.887948 \nL 191.679972 162.437894 \nL 195.287244 160.57091 \nL 198.894517 158.466265 \nL 202.50179 156.745675 \nL 206.109063 155.369808 \nL 209.716335 154.302919 \nL 213.323608 153.512544 \nL 216.930881 152.969202 \nL 220.538153 152.646135 \nL 224.145426 152.519066 \nL 227.752699 152.565977 \nL 231.359972 152.766913 \nL 234.967244 153.103794 \nL 238.574517 153.56025 \nL 242.18179 154.121467 \nL 245.789063 154.77405 \nL 249.396335 155.505896 \nL 253.003608 156.306074 \nL 256.610881 157.164723 \nL 260.218153 158.072958 \nL 263.825426 159.022775 \nL 267.432699 160.006977 \nL 271.039972 161.019098 \nL 274.647244 162.053336 \nL 278.254517 163.104495 \nL 281.86179 164.167927 \nL 285.469063 165.239482 \nL 289.076335 166.315461 \nL 292.683608 167.392578 \nL 296.290881 168.467915 \nL 299.898153 169.538895 \nL 303.505426 170.603243 \nL 307.112699 171.658963 \nL 310.719972 172.704308 \nL 314.327244 173.737755 \nL 317.934517 174.757989 \nL 321.54179 175.763876 \nL 325.149063 176.75445 \nL 328.756335 177.728894 \nL 332.363608 178.686528 \nL 335.970881 179.626789 \nL 339.578153 180.549227 \nL 343.185426 181.453486 \nL 346.792699 182.339302 \nL 350.399972 183.206484 \nL 354.007244 184.054914 \nL 357.614517 184.884535 \nL 361.22179 185.695345 \nL 364.829063 186.487392 \nL 368.436335 187.260765 \nL 372.043608 188.015594 \nL 375.650881 188.752039 \nL 379.258153 189.470292 \nL 382.865426 190.170569 \nL 386.472699 190.853107 \nL 390.079972 191.518163 \nL 393.687244 192.16601 \nL 397.294517 192.796934 \nL 400.90179 193.411233 \nL 404.509063 194.009212 \n\" clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_34\">\n    <path clip-path=\"url(#p13b202b594)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #000000; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 47.389063 273.312 \nL 47.389063 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 404.509063 273.312 \nL 404.509063 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 47.389063 273.312 \nL 404.509063 273.312 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 47.389063 7.2 \nL 404.509063 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 219.379375 88.590625 \nL 397.509063 88.590625 \nQ 399.509063 88.590625 399.509063 86.590625 \nL 399.509063 14.2 \nQ 399.509063 12.2 397.509063 12.2 \nL 219.379375 12.2 \nQ 217.379375 12.2 217.379375 14.2 \nL 217.379375 86.590625 \nQ 217.379375 88.590625 219.379375 88.590625 \nz\n\" style=\"fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter\"/>\n    </g>\n    <g id=\"line2d_35\">\n     <path d=\"M 221.379375 20.298437 \nL 231.379375 20.298437 \nL 241.379375 20.298437 \n\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- Marine (MA) -->\n     <g transform=\"translate(249.379375 23.798437) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4d\" d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-28\" d=\"M 1984 4856 \nQ 1566 4138 1362 3434 \nQ 1159 2731 1159 2009 \nQ 1159 1288 1364 580 \nQ 1569 -128 1984 -844 \nL 1484 -844 \nQ 1016 -109 783 600 \nQ 550 1309 550 2009 \nQ 550 2706 781 3412 \nQ 1013 4119 1484 4856 \nL 1984 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-41\" d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-29\" d=\"M 513 4856 \nL 1013 4856 \nQ 1481 4119 1714 3412 \nQ 1947 2706 1947 2009 \nQ 1947 1309 1714 600 \nQ 1481 -109 1013 -844 \nL 513 -844 \nQ 928 -128 1133 580 \nQ 1338 1288 1338 2009 \nQ 1338 2731 1133 3434 \nQ 928 4138 513 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4d\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"86.279297\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"147.558594\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"188.671875\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"216.455078\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"279.833984\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"341.357422\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"373.144531\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"412.158203\"/>\n      <use xlink:href=\"#DejaVuSans-41\" x=\"498.4375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"566.845703\"/>\n     </g>\n    </g>\n    <g id=\"line2d_36\">\n     <path d=\"M 221.379375 34.976562 \nL 231.379375 34.976562 \nL 241.379375 34.976562 \n\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- Boreal (HYY) -->\n     <g transform=\"translate(249.379375 38.476562) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-42\" d=\"M 1259 2228 \nL 1259 519 \nL 2272 519 \nQ 2781 519 3026 730 \nQ 3272 941 3272 1375 \nQ 3272 1813 3026 2020 \nQ 2781 2228 2272 2228 \nL 1259 2228 \nz\nM 1259 4147 \nL 1259 2741 \nL 2194 2741 \nQ 2656 2741 2882 2914 \nQ 3109 3088 3109 3444 \nQ 3109 3797 2882 3972 \nQ 2656 4147 2194 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2241 4666 \nQ 2963 4666 3353 4366 \nQ 3744 4066 3744 3513 \nQ 3744 3084 3544 2831 \nQ 3344 2578 2956 2516 \nQ 3422 2416 3680 2098 \nQ 3938 1781 3938 1306 \nQ 3938 681 3513 340 \nQ 3088 0 2303 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-48\" d=\"M 628 4666 \nL 1259 4666 \nL 1259 2753 \nL 3553 2753 \nL 3553 4666 \nL 4184 4666 \nL 4184 0 \nL 3553 0 \nL 3553 2222 \nL 1259 2222 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-59\" d=\"M -13 4666 \nL 666 4666 \nL 1959 2747 \nL 3244 4666 \nL 3922 4666 \nL 2272 2222 \nL 2272 0 \nL 1638 0 \nL 1638 2222 \nL -13 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-42\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"68.603516\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"129.785156\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"168.648438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"230.171875\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"291.451172\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"319.234375\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"351.021484\"/>\n      <use xlink:href=\"#DejaVuSans-48\" x=\"390.035156\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"465.230469\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"526.314453\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"587.398438\"/>\n     </g>\n    </g>\n    <g id=\"line2d_37\">\n     <path d=\"M 221.379375 49.654687 \nL 231.379375 49.654687 \nL 241.379375 49.654687 \n\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- NUM event (NE) -->\n     <g transform=\"translate(249.379375 53.154687) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-55\" d=\"M 556 4666 \nL 1191 4666 \nL 1191 1831 \nQ 1191 1081 1462 751 \nQ 1734 422 2344 422 \nQ 2950 422 3222 751 \nQ 3494 1081 3494 1831 \nL 3494 4666 \nL 4128 4666 \nL 4128 1753 \nQ 4128 841 3676 375 \nQ 3225 -91 2344 -91 \nQ 1459 -91 1007 375 \nQ 556 841 556 1753 \nL 556 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-76\" d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use xlink:href=\"#DejaVuSans-55\" x=\"74.804688\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"147.998047\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"234.277344\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"266.064453\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"327.587891\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"386.767578\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"448.291016\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"511.669922\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"550.878906\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"582.666016\"/>\n      <use xlink:href=\"#DejaVuSans-4e\" x=\"621.679688\"/>\n      <use xlink:href=\"#DejaVuSans-45\" x=\"696.484375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"759.667969\"/>\n     </g>\n    </g>\n    <g id=\"line2d_38\">\n     <path d=\"M 221.379375 64.332812 \nL 231.379375 64.332812 \nL 241.379375 64.332812 \n\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- Constant -->\n     <g transform=\"translate(249.379375 67.832812) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-43\" d=\"M 4122 4306 \nL 4122 3641 \nQ 3803 3938 3442 4084 \nQ 3081 4231 2675 4231 \nQ 1875 4231 1450 3742 \nQ 1025 3253 1025 2328 \nQ 1025 1406 1450 917 \nQ 1875 428 2675 428 \nQ 3081 428 3442 575 \nQ 3803 722 4122 1019 \nL 4122 359 \nQ 3791 134 3420 21 \nQ 3050 -91 2638 -91 \nQ 1578 -91 968 557 \nQ 359 1206 359 2328 \nQ 359 3453 968 4101 \nQ 1578 4750 2638 4750 \nQ 3056 4750 3426 4639 \nQ 3797 4528 4122 4306 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-43\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"69.824219\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"131.005859\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"194.384766\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"246.484375\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"285.693359\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"346.972656\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"410.351562\"/>\n     </g>\n    </g>\n    <g id=\"line2d_39\">\n     <path d=\"M 221.379375 79.010937 \nL 231.379375 79.010937 \nL 241.379375 79.010937 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #000000; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- CompressedFilmOvadnevaite -->\n     <g transform=\"translate(249.379375 82.510937) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-46\" d=\"M 628 4666 \nL 3309 4666 \nL 3309 4134 \nL 1259 4134 \nL 1259 2759 \nL 3109 2759 \nL 3109 2228 \nL 1259 2228 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-4f\" d=\"M 2522 4238 \nQ 1834 4238 1429 3725 \nQ 1025 3213 1025 2328 \nQ 1025 1447 1429 934 \nQ 1834 422 2522 422 \nQ 3209 422 3611 934 \nQ 4013 1447 4013 2328 \nQ 4013 3213 3611 3725 \nQ 3209 4238 2522 4238 \nz\nM 2522 4750 \nQ 3503 4750 4090 4092 \nQ 4678 3434 4678 2328 \nQ 4678 1225 4090 567 \nQ 3503 -91 2522 -91 \nQ 1538 -91 948 565 \nQ 359 1222 359 2328 \nQ 359 3434 948 4092 \nQ 1538 4750 2522 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-43\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"69.824219\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"131.005859\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"228.417969\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"291.894531\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"330.757812\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"392.28125\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"444.380859\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"496.480469\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"558.003906\"/>\n      <use xlink:href=\"#DejaVuSans-46\" x=\"621.480469\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"671.75\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"699.533203\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"727.316406\"/>\n      <use xlink:href=\"#DejaVuSans-4f\" x=\"824.728516\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"903.439453\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"962.619141\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"1023.898438\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1087.375\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1150.753906\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"1212.277344\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1271.457031\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1332.736328\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1360.519531\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1399.728516\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p13b202b594\">\n   <rect x=\"47.389063\" y=\"7.2\" width=\"357.12\" height=\"266.112\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"402.114063pt\" height=\"262.19625pt\" viewBox=\"0 0 402.114063 262.19625\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2024-01-27T17:49:16.181163</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.5.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 262.19625 \nL 402.114063 262.19625 \nL 402.114063 0 \nL 0 0 \nL 0 262.19625 \nz\n\" style=\"fill: none\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 47.389063 224.64 \nL 382.189063 224.64 \nL 382.189063 7.2 \nL 47.389063 7.2 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path d=\"M 124.854488 224.64 \nL 124.854488 7.2 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path id=\"md61d51d183\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#md61d51d183\" x=\"124.854488\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 300 -->\n      <g transform=\"translate(115.310738 239.238437)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path d=\"M 181.943842 224.64 \nL 181.943842 7.2 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#md61d51d183\" x=\"181.943842\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 500 -->\n      <g transform=\"translate(172.400092 239.238437)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-35\" d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path d=\"M 219.547638 224.64 \nL 219.547638 7.2 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use xlink:href=\"#md61d51d183\" x=\"219.547638\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 700 -->\n      <g transform=\"translate(210.003888 239.238437)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-37\" d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path d=\"M 259.409268 224.64 \nL 259.409268 7.2 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#md61d51d183\" x=\"259.409268\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 1000 -->\n      <g transform=\"translate(246.684268 239.238437)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-31\" d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"190.869141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path d=\"M 382.189063 224.64 \nL 382.189063 7.2 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use xlink:href=\"#md61d51d183\" x=\"382.189063\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 3000 -->\n      <g transform=\"translate(369.464063 239.238437)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"190.869141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <defs>\n       <path id=\"m3dbacadfab\" d=\"M 0 0 \nL 0 2 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m3dbacadfab\" x=\"79.540119\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#m3dbacadfab\" x=\"157.005545\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_13\">\n      <g>\n       <use xlink:href=\"#m3dbacadfab\" x=\"202.319914\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_14\">\n      <g>\n       <use xlink:href=\"#m3dbacadfab\" x=\"234.470971\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_15\">\n      <g>\n       <use xlink:href=\"#m3dbacadfab\" x=\"247.634283\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#m3dbacadfab\" x=\"336.874693\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_6\">\n     <!-- Wet radius [nm] -->\n     <g transform=\"translate(174.527344 252.916562)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-57\" d=\"M 213 4666 \nL 850 4666 \nL 1831 722 \nL 2809 4666 \nL 3519 4666 \nL 4500 722 \nL 5478 4666 \nL 6119 4666 \nL 4947 0 \nL 4153 0 \nL 3169 4050 \nL 2175 0 \nL 1381 0 \nL 213 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5b\" d=\"M 550 4863 \nL 1875 4863 \nL 1875 4416 \nL 1125 4416 \nL 1125 -397 \nL 1875 -397 \nL 1875 -844 \nL 550 -844 \nL 550 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \nQ 3544 3216 3844 3400 \nQ 4144 3584 4550 3584 \nQ 5097 3584 5394 3201 \nQ 5691 2819 5691 2113 \nL 5691 0 \nL 5113 0 \nL 5113 2094 \nQ 5113 2597 4934 2840 \nQ 4756 3084 4391 3084 \nQ 3944 3084 3684 2787 \nQ 3425 2491 3425 1978 \nL 3425 0 \nL 2847 0 \nL 2847 2094 \nQ 2847 2600 2669 2842 \nQ 2491 3084 2119 3084 \nQ 1678 3084 1418 2786 \nQ 1159 2488 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1356 3278 1631 3431 \nQ 1906 3584 2284 3584 \nQ 2666 3584 2933 3390 \nQ 3200 3197 3328 2828 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5d\" d=\"M 1947 4863 \nL 1947 -844 \nL 622 -844 \nL 622 -397 \nL 1369 -397 \nL 1369 4416 \nL 622 4416 \nL 622 4863 \nL 1947 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-57\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"93.001953\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"154.525391\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"193.734375\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"225.521484\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"266.634766\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"327.914062\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"391.390625\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"419.173828\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"482.552734\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"534.652344\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"566.439453\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"605.453125\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"668.832031\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"766.244141\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_17\">\n      <path d=\"M 47.389063 224.64 \nL 382.189063 224.64 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <defs>\n       <path id=\"mcc0ce68de4\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#mcc0ce68de4\" x=\"47.389063\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- -0.1 -->\n      <g transform=\"translate(20.878125 228.439219)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-2d\" d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-2e\" d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-2d\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"36.083984\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"99.707031\"/>\n       <use xlink:href=\"#DejaVuSans-31\" x=\"131.494141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_19\">\n      <path d=\"M 47.389063 176.32 \nL 382.189063 176.32 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use xlink:href=\"#mcc0ce68de4\" x=\"47.389063\" y=\"176.32\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(34.026563 180.119219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_21\">\n      <path d=\"M 47.389063 128 \nL 382.189063 128 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#mcc0ce68de4\" x=\"47.389063\" y=\"128\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0.1 -->\n      <g transform=\"translate(24.485938 131.799219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-31\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_23\">\n      <path d=\"M 47.389063 79.68 \nL 382.189063 79.68 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#mcc0ce68de4\" x=\"47.389063\" y=\"79.68\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 0.2 -->\n      <g transform=\"translate(24.485938 83.479219)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-32\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_25\">\n      <path d=\"M 47.389063 31.36 \nL 382.189063 31.36 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_26\">\n      <g>\n       <use xlink:href=\"#mcc0ce68de4\" x=\"47.389063\" y=\"31.36\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0.3 -->\n      <g transform=\"translate(24.485938 35.159219)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-33\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_12\">\n     <!-- Equilibrium supersaturation [%] -->\n     <g transform=\"translate(14.798438 195.652031)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-45\" d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-71\" d=\"M 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\nM 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nL 2906 3500 \nL 3481 3500 \nL 3481 -1331 \nL 2906 -1331 \nL 2906 525 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\nM 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2969 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-70\" d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-25\" d=\"M 4653 2053 \nQ 4381 2053 4226 1822 \nQ 4072 1591 4072 1178 \nQ 4072 772 4226 539 \nQ 4381 306 4653 306 \nQ 4919 306 5073 539 \nQ 5228 772 5228 1178 \nQ 5228 1588 5073 1820 \nQ 4919 2053 4653 2053 \nz\nM 4653 2450 \nQ 5147 2450 5437 2106 \nQ 5728 1763 5728 1178 \nQ 5728 594 5436 251 \nQ 5144 -91 4653 -91 \nQ 4153 -91 3862 251 \nQ 3572 594 3572 1178 \nQ 3572 1766 3864 2108 \nQ 4156 2450 4653 2450 \nz\nM 1428 4353 \nQ 1159 4353 1004 4120 \nQ 850 3888 850 3481 \nQ 850 3069 1003 2837 \nQ 1156 2606 1428 2606 \nQ 1700 2606 1854 2837 \nQ 2009 3069 2009 3481 \nQ 2009 3884 1853 4118 \nQ 1697 4353 1428 4353 \nz\nM 4250 4750 \nL 4750 4750 \nL 1831 -91 \nL 1331 -91 \nL 4250 4750 \nz\nM 1428 4750 \nQ 1922 4750 2215 4408 \nQ 2509 4066 2509 3481 \nQ 2509 2891 2217 2550 \nQ 1925 2209 1428 2209 \nQ 931 2209 642 2551 \nQ 353 2894 353 3481 \nQ 353 4063 643 4406 \nQ 934 4750 1428 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-45\"/>\n      <use xlink:href=\"#DejaVuSans-71\" x=\"63.183594\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"126.660156\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"190.039062\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"217.822266\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"245.605469\"/>\n      <use xlink:href=\"#DejaVuSans-62\" x=\"273.388672\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"336.865234\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"377.978516\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"405.761719\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"469.140625\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"566.552734\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"598.339844\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"650.439453\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"713.818359\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"777.294922\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"838.818359\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"879.931641\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"932.03125\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"993.310547\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"1032.519531\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"1095.898438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1137.011719\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1198.291016\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1237.5\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"1265.283203\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1326.464844\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"1389.84375\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"1421.630859\"/>\n      <use xlink:href=\"#DejaVuSans-25\" x=\"1460.644531\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"1555.664062\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_27\">\n    <path d=\"M 84.891496 263.19625 \nL 87.970881 243.705828 \nL 91.352699 224.567056 \nL 94.734517 207.485328 \nL 98.116335 192.270324 \nL 101.498153 178.748591 \nL 104.879972 166.762069 \nL 108.26179 156.166749 \nL 111.643608 146.831437 \nL 115.025426 138.63664 \nL 118.407244 131.473532 \nL 121.789062 125.243031 \nL 125.170881 119.854932 \nL 128.552699 115.227139 \nL 131.934517 111.284947 \nL 135.316335 107.960393 \nL 138.698153 105.191664 \nL 142.079972 102.922559 \nL 145.46179 101.101989 \nL 148.843608 99.683529 \nL 152.225426 98.625008 \nL 155.607244 97.88813 \nL 158.989063 97.438133 \nL 162.370881 97.243477 \nL 165.752699 97.275556 \nL 169.134517 97.508439 \nL 172.516335 97.918632 \nL 175.898153 98.484859 \nL 179.279972 99.187869 \nL 182.66179 100.01025 \nL 186.043608 100.936265 \nL 189.425426 101.951706 \nL 192.807244 103.04375 \nL 196.189062 104.200841 \nL 199.570881 105.41257 \nL 202.952699 106.669573 \nL 206.334517 107.963438 \nL 209.716335 109.286617 \nL 213.098153 110.632343 \nL 216.479972 111.994567 \nL 219.86179 113.367884 \nL 223.243608 114.747477 \nL 226.625426 116.129061 \nL 230.007244 117.508836 \nL 233.389063 118.88344 \nL 236.770881 120.249906 \nL 240.152699 121.605628 \nL 243.534517 122.948323 \nL 246.916335 124.276004 \nL 250.298153 125.586947 \nL 253.679972 126.87967 \nL 257.06179 128.152907 \nL 260.443608 129.405585 \nL 263.825426 130.636808 \nL 267.207244 131.845836 \nL 270.589062 133.032074 \nL 273.970881 134.19505 \nL 277.352699 135.334408 \nL 280.734517 136.449894 \nL 284.116335 137.541343 \nL 287.498153 138.608673 \nL 290.879972 139.651872 \nL 294.26179 140.670994 \nL 297.643608 141.666146 \nL 301.025426 142.637487 \nL 304.407244 143.585219 \nL 307.789062 144.509583 \nL 311.170881 145.41085 \nL 314.552699 146.289324 \nL 317.934517 147.145329 \nL 321.316335 147.979214 \nL 324.698153 148.791343 \nL 328.079972 149.582095 \nL 331.46179 150.351862 \nL 334.843608 151.101046 \nL 338.225426 151.830055 \nL 341.607244 152.539303 \nL 344.989063 153.229208 \nL 348.370881 153.900192 \nL 351.752699 154.552675 \nL 355.134517 155.187078 \nL 358.516335 155.803823 \nL 361.898153 156.403326 \nL 365.279972 156.986003 \nL 368.66179 157.552264 \nL 372.043608 158.102517 \nL 375.425426 158.637162 \nL 378.807244 159.156597 \nL 382.189063 159.661212 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_28\">\n    <path d=\"M 55.381133 263.19625 \nL 57.534517 246.412897 \nL 60.916335 222.878704 \nL 64.298153 201.907006 \nL 67.679972 183.259922 \nL 71.06179 166.720676 \nL 74.443608 152.091755 \nL 77.825426 139.193219 \nL 81.207244 127.861165 \nL 84.589063 117.946326 \nL 87.970881 109.312783 \nL 91.352699 101.8368 \nL 94.734517 95.40575 \nL 98.116335 89.917145 \nL 101.498153 85.277742 \nL 104.879972 81.402732 \nL 108.26179 78.214996 \nL 111.643608 75.644431 \nL 115.025426 73.627326 \nL 118.407244 72.105804 \nL 121.789062 71.027304 \nL 125.170881 70.344111 \nL 128.552699 70.012926 \nL 131.934517 69.994477 \nL 135.316335 70.253159 \nL 138.698153 70.756709 \nL 142.079972 71.47591 \nL 145.46179 72.384318 \nL 148.843608 73.458012 \nL 152.225426 74.675372 \nL 155.607244 76.016872 \nL 158.989063 77.464889 \nL 162.370881 79.003535 \nL 165.752699 80.618498 \nL 169.134517 82.2969 \nL 172.516335 84.027168 \nL 175.898153 85.798913 \nL 179.279972 87.602825 \nL 182.66179 89.430569 \nL 186.043608 91.274702 \nL 189.425426 93.128584 \nL 192.807244 94.98631 \nL 196.189062 96.842635 \nL 199.570881 98.692917 \nL 202.952699 100.53306 \nL 206.334517 102.359459 \nL 209.716335 104.168958 \nL 213.098153 105.958801 \nL 216.479972 107.7266 \nL 219.86179 109.470296 \nL 223.243608 111.188126 \nL 226.625426 112.878595 \nL 230.007244 114.54045 \nL 233.389063 116.172654 \nL 236.770881 117.774365 \nL 240.152699 119.344917 \nL 243.534517 120.8838 \nL 246.916335 122.390642 \nL 250.298153 123.865199 \nL 253.679972 125.307338 \nL 257.06179 126.717023 \nL 260.443608 128.094309 \nL 263.825426 129.439326 \nL 267.207244 130.752273 \nL 270.589062 132.033411 \nL 273.970881 133.283052 \nL 277.352699 134.501555 \nL 280.734517 135.689317 \nL 284.116335 136.84677 \nL 287.498153 137.974376 \nL 290.879972 139.07262 \nL 294.26179 140.14201 \nL 297.643608 141.183067 \nL 301.025426 142.196331 \nL 304.407244 143.182347 \nL 307.789062 144.141672 \nL 311.170881 145.074868 \nL 314.552699 145.982498 \nL 317.934517 146.86513 \nL 321.316335 147.723331 \nL 324.698153 148.557665 \nL 328.079972 149.368697 \nL 331.46179 150.156983 \nL 334.843608 150.923079 \nL 338.225426 151.667532 \nL 341.607244 152.390884 \nL 344.989063 153.093669 \nL 348.370881 153.776415 \nL 351.752699 154.439639 \nL 355.134517 155.083852 \nL 358.516335 155.709555 \nL 361.898153 156.317239 \nL 365.279972 156.907386 \nL 368.66179 157.48047 \nL 372.043608 158.036953 \nL 375.425426 158.577288 \nL 378.807244 159.101919 \nL 382.189063 159.611279 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_29\">\n    <path d=\"M 67.121286 263.19625 \nL 67.679972 258.927801 \nL 71.06179 235.822007 \nL 74.443608 215.19639 \nL 77.825426 196.821559 \nL 81.207244 180.488449 \nL 84.589063 166.006552 \nL 87.970881 153.202286 \nL 91.352699 141.917519 \nL 94.734517 132.008216 \nL 98.116335 123.343206 \nL 101.498153 115.80305 \nL 104.879972 109.279017 \nL 108.26179 103.672144 \nL 111.643608 98.892377 \nL 115.025426 94.857788 \nL 118.407244 91.493861 \nL 121.789062 88.732843 \nL 125.170881 86.513142 \nL 128.552699 84.778789 \nL 131.934517 83.478941 \nL 135.316335 82.567425 \nL 138.698153 82.002329 \nL 142.079972 81.745622 \nL 145.46179 81.762811 \nL 148.843608 82.022628 \nL 152.225426 82.496741 \nL 155.607244 83.159493 \nL 158.989063 83.987665 \nL 162.370881 84.960257 \nL 165.752699 86.058288 \nL 169.134517 87.264619 \nL 172.516335 88.563782 \nL 175.898153 89.941835 \nL 179.279972 91.386219 \nL 182.66179 92.885636 \nL 186.043608 94.429934 \nL 189.425426 96.010001 \nL 192.807244 97.617674 \nL 196.189062 99.245646 \nL 199.570881 100.887392 \nL 202.952699 102.537096 \nL 206.334517 104.189583 \nL 209.716335 105.840261 \nL 213.098153 107.485066 \nL 216.479972 109.120415 \nL 219.86179 110.743154 \nL 223.243608 112.350523 \nL 226.625426 113.940118 \nL 230.007244 115.509853 \nL 233.389063 117.057931 \nL 236.770881 118.582817 \nL 240.152699 120.083211 \nL 243.534517 121.558023 \nL 246.916335 123.006355 \nL 250.298153 124.42748 \nL 253.679972 125.820823 \nL 257.06179 127.185948 \nL 260.443608 128.52254 \nL 263.825426 129.830394 \nL 267.207244 131.109404 \nL 270.589062 132.35955 \nL 273.970881 133.580889 \nL 277.352699 134.773544 \nL 280.734517 135.937702 \nL 284.116335 137.0736 \nL 287.498153 138.181522 \nL 290.879972 139.26179 \nL 294.26179 140.314763 \nL 297.643608 141.340829 \nL 301.025426 142.340402 \nL 304.407244 143.313915 \nL 307.789062 144.261823 \nL 311.170881 145.184591 \nL 314.552699 146.0827 \nL 317.934517 146.956636 \nL 321.316335 147.806896 \nL 324.698153 148.633979 \nL 328.079972 149.438387 \nL 331.46179 150.220626 \nL 334.843608 150.981199 \nL 338.225426 151.720608 \nL 341.607244 152.439354 \nL 344.989063 153.137933 \nL 348.370881 153.816837 \nL 351.752699 154.476554 \nL 355.134517 155.117563 \nL 358.516335 155.74034 \nL 361.898153 156.345353 \nL 365.279972 156.93306 \nL 368.66179 157.503916 \nL 372.043608 158.058365 \nL 375.425426 158.596842 \nL 378.807244 159.119776 \nL 382.189063 159.627585 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_30\">\n    <path clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_31\">\n    <path d=\"M 101.237116 263.19625 \nL 101.498153 261.997851 \nL 104.879972 248.020533 \nL 108.26179 235.451182 \nL 111.643608 224.1618 \nL 115.025426 214.03567 \nL 118.407244 204.966374 \nL 121.789062 196.85689 \nL 125.170881 189.618775 \nL 128.552699 183.171414 \nL 131.934517 177.441338 \nL 135.316335 172.361598 \nL 138.698153 167.871192 \nL 142.079972 163.914553 \nL 145.46179 160.441064 \nL 148.843608 157.40463 \nL 152.225426 153.219397 \nL 155.607244 147.74435 \nL 158.989063 142.967414 \nL 162.370881 138.821356 \nL 165.752699 135.244976 \nL 169.134517 132.182579 \nL 172.516335 129.583488 \nL 175.898153 127.401607 \nL 179.279972 125.595014 \nL 182.66179 124.125598 \nL 186.043608 122.958719 \nL 189.425426 122.062905 \nL 192.807244 121.409569 \nL 196.189062 120.972758 \nL 199.570881 120.728916 \nL 202.952699 120.656674 \nL 206.334517 120.736657 \nL 209.716335 120.951302 \nL 213.098153 121.284702 \nL 216.479972 121.722456 \nL 219.86179 122.251534 \nL 223.243608 122.860157 \nL 226.625426 123.537682 \nL 230.007244 124.2745 \nL 233.389063 125.061947 \nL 236.770881 125.892213 \nL 240.152699 126.758269 \nL 243.534517 127.653794 \nL 246.916335 128.573113 \nL 250.298153 129.511134 \nL 253.679972 130.4633 \nL 257.06179 131.425534 \nL 260.443608 132.3942 \nL 263.825426 133.366059 \nL 267.207244 134.338233 \nL 270.589062 135.30817 \nL 273.970881 136.273618 \nL 277.352699 137.23259 \nL 280.734517 138.183345 \nL 284.116335 139.124359 \nL 287.498153 140.05431 \nL 290.879972 140.972052 \nL 294.26179 141.876604 \nL 297.643608 142.767129 \nL 301.025426 143.642923 \nL 304.407244 144.503401 \nL 307.789062 145.348081 \nL 311.170881 146.176582 \nL 314.552699 146.988602 \nL 317.934517 147.783922 \nL 321.316335 148.562388 \nL 324.698153 149.323908 \nL 328.079972 150.068442 \nL 331.46179 150.796003 \nL 334.843608 151.506643 \nL 338.225426 152.200453 \nL 341.607244 152.877557 \nL 344.989063 153.538108 \nL 348.370881 154.182284 \nL 351.752699 154.810286 \nL 355.134517 155.422334 \nL 358.516335 156.018662 \nL 361.898153 156.599521 \nL 365.279972 157.165172 \nL 368.66179 157.715885 \nL 372.043608 158.251938 \nL 375.425426 158.773616 \nL 378.807244 159.281209 \nL 382.189063 159.77501 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_32\">\n    <path d=\"M 58.23862 263.19625 \nL 60.916335 249.298941 \nL 64.298153 233.559476 \nL 67.679972 219.466269 \nL 71.06179 206.868101 \nL 74.443608 195.627122 \nL 77.825426 185.617687 \nL 81.207244 176.725289 \nL 84.589063 168.845588 \nL 87.970881 161.883515 \nL 91.352699 155.752469 \nL 94.734517 150.373572 \nL 98.116335 145.674989 \nL 101.498153 141.591319 \nL 104.879972 138.063023 \nL 108.26179 135.035915 \nL 111.643608 132.460689 \nL 115.025426 130.292491 \nL 118.407244 128.490527 \nL 121.789062 127.017708 \nL 125.170881 125.840321 \nL 128.552699 124.92773 \nL 131.934517 124.252111 \nL 135.316335 123.788194 \nL 138.698153 123.513047 \nL 142.079972 123.40586 \nL 145.46179 123.447763 \nL 148.843608 123.621652 \nL 152.225426 123.91203 \nL 155.607244 124.304866 \nL 158.989063 124.787464 \nL 162.370881 125.348342 \nL 165.752699 125.977125 \nL 169.134517 126.664446 \nL 172.516335 127.401854 \nL 175.898153 128.181731 \nL 179.279972 128.997218 \nL 182.66179 129.842147 \nL 186.043608 130.710975 \nL 189.425426 131.598731 \nL 192.807244 132.50096 \nL 196.189062 131.944654 \nL 199.570881 130.74856 \nL 202.952699 129.806715 \nL 206.334517 129.092569 \nL 209.716335 128.58201 \nL 213.098153 128.253148 \nL 216.479972 128.086118 \nL 219.86179 128.062903 \nL 223.243608 128.167167 \nL 226.625426 128.384105 \nL 230.007244 128.700312 \nL 233.389063 129.103653 \nL 236.770881 129.583149 \nL 240.152699 130.128878 \nL 243.534517 130.731877 \nL 246.916335 131.384058 \nL 250.298153 132.078127 \nL 253.679972 132.807512 \nL 257.06179 133.5663 \nL 260.443608 134.349177 \nL 263.825426 135.15137 \nL 267.207244 135.968604 \nL 270.589062 136.797048 \nL 273.970881 137.633283 \nL 277.352699 138.474256 \nL 280.734517 139.317252 \nL 284.116335 140.159859 \nL 287.498153 140.999944 \nL 290.879972 141.835619 \nL 294.26179 142.665226 \nL 297.643608 143.487311 \nL 301.025426 144.300604 \nL 304.407244 145.104005 \nL 307.789062 145.896563 \nL 311.170881 146.677463 \nL 314.552699 147.446015 \nL 317.934517 148.201639 \nL 321.316335 148.943854 \nL 324.698153 149.672268 \nL 328.079972 150.386571 \nL 331.46179 151.086523 \nL 334.843608 151.771951 \nL 338.225426 152.442736 \nL 341.607244 153.098814 \nL 344.989063 153.740163 \nL 348.370881 154.366805 \nL 351.752699 154.978793 \nL 355.134517 155.576217 \nL 358.516335 156.159191 \nL 361.898153 156.727855 \nL 365.279972 157.282368 \nL 368.66179 157.82291 \nL 372.043608 158.349675 \nL 375.425426 158.862872 \nL 378.807244 159.362719 \nL 382.189063 159.849446 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_33\">\n    <path d=\"M 76.148264 263.19625 \nL 77.825426 254.964091 \nL 81.207244 240.05373 \nL 84.589063 226.678311 \nL 87.970881 214.697446 \nL 91.352699 203.983145 \nL 94.734517 194.418731 \nL 98.116335 185.897858 \nL 101.498153 178.323599 \nL 104.879972 171.607632 \nL 108.26179 165.669483 \nL 111.643608 160.43584 \nL 115.025426 155.839925 \nL 118.407244 151.820924 \nL 121.789062 148.323466 \nL 125.170881 145.297139 \nL 128.552699 142.696063 \nL 131.934517 140.478486 \nL 135.316335 138.606426 \nL 138.698153 137.045334 \nL 142.079972 135.763799 \nL 145.46179 134.733266 \nL 148.843608 133.927786 \nL 152.225426 133.323785 \nL 155.607244 132.899858 \nL 158.989063 132.636572 \nL 162.370881 132.516295 \nL 165.752699 132.523035 \nL 169.134517 132.642294 \nL 172.516335 132.860937 \nL 175.898153 133.167068 \nL 179.279972 133.549922 \nL 182.66179 133.999762 \nL 186.043608 132.472625 \nL 189.425426 130.751087 \nL 192.807244 129.343696 \nL 196.189062 128.218277 \nL 199.570881 127.345594 \nL 202.952699 126.69909 \nL 206.334517 126.254653 \nL 209.716335 125.990393 \nL 213.098153 125.886454 \nL 216.479972 125.924826 \nL 219.86179 126.089186 \nL 223.243608 126.364745 \nL 226.625426 126.738112 \nL 230.007244 127.197171 \nL 233.389063 127.730965 \nL 236.770881 128.329593 \nL 240.152699 128.984114 \nL 243.534517 129.686465 \nL 246.916335 130.429374 \nL 250.298153 131.206296 \nL 253.679972 132.011344 \nL 257.06179 132.839228 \nL 260.443608 133.685205 \nL 263.825426 134.545022 \nL 267.207244 135.414878 \nL 270.589062 136.291378 \nL 273.970881 137.171497 \nL 277.352699 138.052546 \nL 280.734517 138.932141 \nL 284.116335 139.80817 \nL 287.498153 140.678776 \nL 290.879972 141.542323 \nL 294.26179 142.397384 \nL 297.643608 143.242714 \nL 301.025426 144.077234 \nL 304.407244 144.90002 \nL 307.789062 145.71028 \nL 311.170881 146.507347 \nL 314.552699 147.290663 \nL 317.934517 148.059769 \nL 321.316335 148.814295 \nL 324.698153 149.553953 \nL 328.079972 150.278524 \nL 331.46179 150.987853 \nL 334.843608 151.681844 \nL 338.225426 152.360449 \nL 341.607244 153.023668 \nL 344.989063 153.671539 \nL 348.370881 154.304135 \nL 351.752699 154.921563 \nL 355.134517 155.523953 \nL 358.516335 156.111463 \nL 361.898153 156.684268 \nL 365.279972 157.242564 \nL 368.66179 157.786561 \nL 372.043608 158.31648 \nL 375.425426 158.832558 \nL 378.807244 159.335036 \nL 382.189063 159.824165 \n\" clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_34\">\n    <path clip-path=\"url(#pe774b2947a)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #000000; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 47.389063 224.64 \nL 47.389063 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 382.189063 224.64 \nL 382.189063 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 47.389063 224.64 \nL 382.189063 224.64 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 47.389063 7.2 \nL 382.189063 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 197.059375 88.590625 \nL 375.189062 88.590625 \nQ 377.189062 88.590625 377.189062 86.590625 \nL 377.189062 14.2 \nQ 377.189062 12.2 375.189062 12.2 \nL 197.059375 12.2 \nQ 195.059375 12.2 195.059375 14.2 \nL 195.059375 86.590625 \nQ 195.059375 88.590625 197.059375 88.590625 \nz\n\" style=\"fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter\"/>\n    </g>\n    <g id=\"line2d_35\">\n     <path d=\"M 199.059375 20.298437 \nL 209.059375 20.298437 \nL 219.059375 20.298437 \n\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- Marine (MA) -->\n     <g transform=\"translate(227.059375 23.798437)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4d\" d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-28\" d=\"M 1984 4856 \nQ 1566 4138 1362 3434 \nQ 1159 2731 1159 2009 \nQ 1159 1288 1364 580 \nQ 1569 -128 1984 -844 \nL 1484 -844 \nQ 1016 -109 783 600 \nQ 550 1309 550 2009 \nQ 550 2706 781 3412 \nQ 1013 4119 1484 4856 \nL 1984 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-41\" d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-29\" d=\"M 513 4856 \nL 1013 4856 \nQ 1481 4119 1714 3412 \nQ 1947 2706 1947 2009 \nQ 1947 1309 1714 600 \nQ 1481 -109 1013 -844 \nL 513 -844 \nQ 928 -128 1133 580 \nQ 1338 1288 1338 2009 \nQ 1338 2731 1133 3434 \nQ 928 4138 513 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4d\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"86.279297\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"147.558594\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"188.671875\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"216.455078\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"279.833984\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"341.357422\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"373.144531\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"412.158203\"/>\n      <use xlink:href=\"#DejaVuSans-41\" x=\"498.4375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"566.845703\"/>\n     </g>\n    </g>\n    <g id=\"line2d_36\">\n     <path d=\"M 199.059375 34.976562 \nL 209.059375 34.976562 \nL 219.059375 34.976562 \n\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- Boreal (HYY) -->\n     <g transform=\"translate(227.059375 38.476562)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-42\" d=\"M 1259 2228 \nL 1259 519 \nL 2272 519 \nQ 2781 519 3026 730 \nQ 3272 941 3272 1375 \nQ 3272 1813 3026 2020 \nQ 2781 2228 2272 2228 \nL 1259 2228 \nz\nM 1259 4147 \nL 1259 2741 \nL 2194 2741 \nQ 2656 2741 2882 2914 \nQ 3109 3088 3109 3444 \nQ 3109 3797 2882 3972 \nQ 2656 4147 2194 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2241 4666 \nQ 2963 4666 3353 4366 \nQ 3744 4066 3744 3513 \nQ 3744 3084 3544 2831 \nQ 3344 2578 2956 2516 \nQ 3422 2416 3680 2098 \nQ 3938 1781 3938 1306 \nQ 3938 681 3513 340 \nQ 3088 0 2303 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-48\" d=\"M 628 4666 \nL 1259 4666 \nL 1259 2753 \nL 3553 2753 \nL 3553 4666 \nL 4184 4666 \nL 4184 0 \nL 3553 0 \nL 3553 2222 \nL 1259 2222 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-59\" d=\"M -13 4666 \nL 666 4666 \nL 1959 2747 \nL 3244 4666 \nL 3922 4666 \nL 2272 2222 \nL 2272 0 \nL 1638 0 \nL 1638 2222 \nL -13 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-42\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"68.603516\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"129.785156\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"168.648438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"230.171875\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"291.451172\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"319.234375\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"351.021484\"/>\n      <use xlink:href=\"#DejaVuSans-48\" x=\"390.035156\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"465.230469\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"526.314453\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"587.398438\"/>\n     </g>\n    </g>\n    <g id=\"line2d_37\">\n     <path d=\"M 199.059375 49.654687 \nL 209.059375 49.654687 \nL 219.059375 49.654687 \n\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- NUM event (NE) -->\n     <g transform=\"translate(227.059375 53.154687)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-55\" d=\"M 556 4666 \nL 1191 4666 \nL 1191 1831 \nQ 1191 1081 1462 751 \nQ 1734 422 2344 422 \nQ 2950 422 3222 751 \nQ 3494 1081 3494 1831 \nL 3494 4666 \nL 4128 4666 \nL 4128 1753 \nQ 4128 841 3676 375 \nQ 3225 -91 2344 -91 \nQ 1459 -91 1007 375 \nQ 556 841 556 1753 \nL 556 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-76\" d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use xlink:href=\"#DejaVuSans-55\" x=\"74.804688\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"147.998047\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"234.277344\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"266.064453\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"327.587891\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"386.767578\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"448.291016\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"511.669922\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"550.878906\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"582.666016\"/>\n      <use xlink:href=\"#DejaVuSans-4e\" x=\"621.679688\"/>\n      <use xlink:href=\"#DejaVuSans-45\" x=\"696.484375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"759.667969\"/>\n     </g>\n    </g>\n    <g id=\"line2d_38\">\n     <path d=\"M 199.059375 64.332812 \nL 209.059375 64.332812 \nL 219.059375 64.332812 \n\" style=\"fill: none; stroke: #000000; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- Constant -->\n     <g transform=\"translate(227.059375 67.832812)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-43\" d=\"M 4122 4306 \nL 4122 3641 \nQ 3803 3938 3442 4084 \nQ 3081 4231 2675 4231 \nQ 1875 4231 1450 3742 \nQ 1025 3253 1025 2328 \nQ 1025 1406 1450 917 \nQ 1875 428 2675 428 \nQ 3081 428 3442 575 \nQ 3803 722 4122 1019 \nL 4122 359 \nQ 3791 134 3420 21 \nQ 3050 -91 2638 -91 \nQ 1578 -91 968 557 \nQ 359 1206 359 2328 \nQ 359 3453 968 4101 \nQ 1578 4750 2638 4750 \nQ 3056 4750 3426 4639 \nQ 3797 4528 4122 4306 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-43\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"69.824219\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"131.005859\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"194.384766\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"246.484375\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"285.693359\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"346.972656\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"410.351562\"/>\n     </g>\n    </g>\n    <g id=\"line2d_39\">\n     <path d=\"M 199.059375 79.010937 \nL 209.059375 79.010937 \nL 219.059375 79.010937 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #000000; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- CompressedFilmOvadnevaite -->\n     <g transform=\"translate(227.059375 82.510937)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-46\" d=\"M 628 4666 \nL 3309 4666 \nL 3309 4134 \nL 1259 4134 \nL 1259 2759 \nL 3109 2759 \nL 3109 2228 \nL 1259 2228 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-4f\" d=\"M 2522 4238 \nQ 1834 4238 1429 3725 \nQ 1025 3213 1025 2328 \nQ 1025 1447 1429 934 \nQ 1834 422 2522 422 \nQ 3209 422 3611 934 \nQ 4013 1447 4013 2328 \nQ 4013 3213 3611 3725 \nQ 3209 4238 2522 4238 \nz\nM 2522 4750 \nQ 3503 4750 4090 4092 \nQ 4678 3434 4678 2328 \nQ 4678 1225 4090 567 \nQ 3503 -91 2522 -91 \nQ 1538 -91 948 565 \nQ 359 1222 359 2328 \nQ 359 3434 948 4092 \nQ 1538 4750 2522 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-43\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"69.824219\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"131.005859\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"228.417969\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"291.894531\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"330.757812\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"392.28125\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"444.380859\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"496.480469\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"558.003906\"/>\n      <use xlink:href=\"#DejaVuSans-46\" x=\"621.480469\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"671.75\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"699.533203\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"727.316406\"/>\n      <use xlink:href=\"#DejaVuSans-4f\" x=\"824.728516\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"903.439453\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"962.619141\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"1023.898438\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1087.375\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1150.753906\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"1212.277344\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1271.457031\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1332.736328\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1360.519531\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1399.728516\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pe774b2947a\">\n   <rect x=\"47.389063\" y=\"7.2\" width=\"334.8\" height=\"217.44\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "94e04a53e2414310adaebb35f51b9c46",
+       "model_id": "0f04be1a13d4445e92d2f500c5ac9849",
        "version_major": 2,
        "version_minor": 0
       },
@@ -208,7 +213,7 @@
     "        RH_eq = formulae.hygroscopicity.RH_eq(r_wet, T, v.modes[0]['kappa'][model], rd3, sigma)\n",
     "        pyplot.plot(\n",
     "            r_wet / si.nm, \n",
-    "            (RH_eq - 1)*100, \n",
+    "            (RH_eq - 1) * 100, \n",
     "            label=f\"{k}\" if model == 'Constant' else \"\",\n",
     "            color=v.color,        \n",
     "            linestyle='-' if model == 'Constant' else '--'\n",
@@ -222,7 +227,7 @@
     "pyplot.ylabel('Equilibrium supersaturation [%]')\n",
     "yticks = (-.1, 0, .1, .2, .3)\n",
     "pyplot.yticks(yticks, yticks)\n",
-    "pyplot.ylim(yticks[0], .35)\n",
+    "pyplot.ylim(yticks[0], 0.35)\n",
     "pyplot.legend()\n",
     "show_plot(\"fig_1c.pdf\")"
    ]
@@ -246,18 +251,20 @@
    "outputs": [
     {
      "data": {
-      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"418.37pt\" height=\"310.86825pt\" viewBox=\"0 0 418.37 310.86825\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2023-12-29T12:52:35.499251</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.8.2, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 310.86825 \nL 418.37 310.86825 \nL 418.37 0 \nL 0 0 \nz\n\" style=\"fill: #ffffff\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 41.325 273.312 \nL 398.445 273.312 \nL 398.445 7.2 \nL 41.325 7.2 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path d=\"M 123.954787 273.312 \nL 123.954787 7.2 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path id=\"m9c98fe5dd0\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m9c98fe5dd0\" x=\"123.954787\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 300 -->\n      <g transform=\"translate(114.411037 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path d=\"M 184.850098 273.312 \nL 184.850098 7.2 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#m9c98fe5dd0\" x=\"184.850098\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 500 -->\n      <g transform=\"translate(175.306348 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-35\" d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path d=\"M 224.960813 273.312 \nL 224.960813 7.2 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use xlink:href=\"#m9c98fe5dd0\" x=\"224.960813\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 700 -->\n      <g transform=\"translate(215.417063 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-37\" d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path d=\"M 267.479885 273.312 \nL 267.479885 7.2 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#m9c98fe5dd0\" x=\"267.479885\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 1000 -->\n      <g transform=\"translate(254.754885 287.910437) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-31\" d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"190.869141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path d=\"M 398.445 273.312 \nL 398.445 7.2 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use xlink:href=\"#m9c98fe5dd0\" x=\"398.445\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 3000 -->\n      <g transform=\"translate(385.72 287.910437) scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"190.869141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <defs>\n       <path id=\"m6ed7feec2b\" d=\"M 0 0 \nL 0 2 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m6ed7feec2b\" x=\"75.61946\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#m6ed7feec2b\" x=\"158.249248\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_13\">\n      <g>\n       <use xlink:href=\"#m6ed7feec2b\" x=\"206.584575\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_14\">\n      <g>\n       <use xlink:href=\"#m6ed7feec2b\" x=\"240.879035\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_15\">\n      <g>\n       <use xlink:href=\"#m6ed7feec2b\" x=\"254.919902\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#m6ed7feec2b\" x=\"350.109673\" y=\"273.312\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_6\">\n     <!-- Wet radius [nm] -->\n     <g transform=\"translate(179.623281 301.588562) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-57\" d=\"M 213 4666 \nL 850 4666 \nL 1831 722 \nL 2809 4666 \nL 3519 4666 \nL 4500 722 \nL 5478 4666 \nL 6119 4666 \nL 4947 0 \nL 4153 0 \nL 3169 4050 \nL 2175 0 \nL 1381 0 \nL 213 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5b\" d=\"M 550 4863 \nL 1875 4863 \nL 1875 4416 \nL 1125 4416 \nL 1125 -397 \nL 1875 -397 \nL 1875 -844 \nL 550 -844 \nL 550 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \nQ 3544 3216 3844 3400 \nQ 4144 3584 4550 3584 \nQ 5097 3584 5394 3201 \nQ 5691 2819 5691 2113 \nL 5691 0 \nL 5113 0 \nL 5113 2094 \nQ 5113 2597 4934 2840 \nQ 4756 3084 4391 3084 \nQ 3944 3084 3684 2787 \nQ 3425 2491 3425 1978 \nL 3425 0 \nL 2847 0 \nL 2847 2094 \nQ 2847 2600 2669 2842 \nQ 2491 3084 2119 3084 \nQ 1678 3084 1418 2786 \nQ 1159 2488 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1356 3278 1631 3431 \nQ 1906 3584 2284 3584 \nQ 2666 3584 2933 3390 \nQ 3200 3197 3328 2828 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5d\" d=\"M 1947 4863 \nL 1947 -844 \nL 622 -844 \nL 622 -397 \nL 1369 -397 \nL 1369 4416 \nL 622 4416 \nL 622 4863 \nL 1947 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-57\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"93.001953\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"154.525391\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"193.734375\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"225.521484\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"266.634766\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"327.914062\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"391.390625\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"419.173828\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"482.552734\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"534.652344\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"566.439453\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"605.453125\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"668.832031\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"766.244141\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_17\">\n      <path d=\"M 41.325 240.947027 \nL 398.445 240.947027 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <defs>\n       <path id=\"m66c49b4448\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m66c49b4448\" x=\"41.325\" y=\"240.947027\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(21.6 244.746246) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_19\">\n      <path d=\"M 41.325 169.024865 \nL 398.445 169.024865 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use xlink:href=\"#m66c49b4448\" x=\"41.325\" y=\"169.024865\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 40 -->\n      <g transform=\"translate(21.6 172.824084) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_21\">\n      <path d=\"M 41.325 97.102703 \nL 398.445 97.102703 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#m66c49b4448\" x=\"41.325\" y=\"97.102703\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 60 -->\n      <g transform=\"translate(21.6 100.901921) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_23\">\n      <path d=\"M 41.325 25.180541 \nL 398.445 25.180541 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#m66c49b4448\" x=\"41.325\" y=\"25.180541\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 80 -->\n      <g transform=\"translate(21.6 28.979759) scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-38\" d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_11\">\n     <!-- Surface tension [mN m$^{-1}$] -->\n     <g transform=\"translate(15.520313 205.256) rotate(-90) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-53\" d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-66\" d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-63\" d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\" transform=\"translate(0 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-75\" transform=\"translate(63.476562 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-72\" transform=\"translate(126.855469 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-66\" transform=\"translate(167.96875 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-61\" transform=\"translate(203.173828 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-63\" transform=\"translate(264.453125 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(319.433594 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(380.957031 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(412.744141 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(451.953125 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(513.476562 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-73\" transform=\"translate(576.855469 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(628.955078 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" transform=\"translate(656.738281 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(717.919922 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(781.298828 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" transform=\"translate(813.085938 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(852.099609 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-4e\" transform=\"translate(949.511719 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(1024.316406 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(1056.103516 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(1154.472656 38.965625) scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(1213.125 38.965625) scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" transform=\"translate(1260.395508 0.684375)\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_25\">\n    <path d=\"M 41.325 169.024865 \nL 44.932273 169.024865 \nL 48.539545 169.024865 \nL 52.146818 169.024865 \nL 55.754091 169.024865 \nL 59.361364 169.024865 \nL 62.968636 169.024865 \nL 66.575909 169.024865 \nL 70.183182 169.024865 \nL 73.790455 169.024865 \nL 77.397727 169.024865 \nL 81.005 169.024865 \nL 84.612273 169.024865 \nL 88.219545 169.024865 \nL 91.826818 169.024865 \nL 95.434091 169.024865 \nL 99.041364 169.024865 \nL 102.648636 169.024865 \nL 106.255909 169.024865 \nL 109.863182 169.024865 \nL 113.470455 169.024865 \nL 117.077727 169.024865 \nL 120.685 169.024865 \nL 124.292273 169.024865 \nL 127.899545 169.024865 \nL 131.506818 169.024865 \nL 135.114091 169.024865 \nL 138.721364 169.024865 \nL 142.328636 169.024865 \nL 145.935909 169.024865 \nL 149.543182 169.024865 \nL 153.150455 165.979797 \nL 156.757727 159.400002 \nL 160.365 153.206676 \nL 163.972273 147.377118 \nL 167.579545 141.889959 \nL 171.186818 136.725088 \nL 174.794091 131.863573 \nL 178.401364 127.287594 \nL 182.008636 122.980381 \nL 185.615909 118.926147 \nL 189.223182 115.110031 \nL 192.830455 111.518048 \nL 196.437727 108.137033 \nL 200.045 104.954593 \nL 203.652273 101.959066 \nL 207.259545 99.139473 \nL 210.866818 96.48548 \nL 214.474091 93.987361 \nL 218.081364 91.635961 \nL 221.688636 89.422661 \nL 225.295909 87.339351 \nL 228.903182 85.378396 \nL 232.510455 83.53261 \nL 236.117727 81.795227 \nL 239.725 80.159882 \nL 243.332273 78.620582 \nL 246.939545 77.171684 \nL 250.546818 75.807881 \nL 254.154091 74.524173 \nL 257.761364 73.315857 \nL 261.368636 72.178505 \nL 264.975909 71.107949 \nL 268.583182 70.100266 \nL 272.190455 69.151763 \nL 275.797727 68.258965 \nL 279.405 67.4186 \nL 283.012273 66.627589 \nL 286.619545 65.883032 \nL 290.226818 65.182203 \nL 293.834091 64.522531 \nL 297.441364 63.901602 \nL 301.048636 63.317138 \nL 304.655909 62.766999 \nL 308.263182 62.249169 \nL 311.870455 61.761749 \nL 315.477727 61.302955 \nL 319.085 60.871105 \nL 322.692273 60.464616 \nL 326.299545 60.081999 \nL 329.906818 59.721853 \nL 333.514091 59.382857 \nL 337.121364 59.063769 \nL 340.728636 58.76342 \nL 344.335909 58.480711 \nL 347.943182 58.214603 \nL 351.550455 57.964124 \nL 355.157727 57.728354 \nL 358.765 57.506431 \nL 362.372273 57.29754 \nL 365.979545 57.100917 \nL 369.586818 56.915841 \nL 373.194091 56.741634 \nL 376.801364 56.577657 \nL 380.408636 56.42331 \nL 384.015909 56.278028 \nL 387.623182 56.141277 \nL 391.230455 56.012558 \nL 394.837727 55.891397 \nL 398.445 55.777352 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_26\">\n    <path d=\"M 41.325 169.024865 \nL 44.932273 169.024865 \nL 48.539545 169.024865 \nL 52.146818 169.024865 \nL 55.754091 169.024865 \nL 59.361364 169.024865 \nL 62.968636 169.024865 \nL 66.575909 169.024865 \nL 70.183182 169.024865 \nL 73.790455 169.024865 \nL 77.397727 169.024865 \nL 81.005 169.024865 \nL 84.612273 169.024865 \nL 88.219545 169.024865 \nL 91.826818 169.024865 \nL 95.434091 169.024865 \nL 99.041364 169.024865 \nL 102.648636 169.024865 \nL 106.255909 169.024865 \nL 109.863182 169.024865 \nL 113.470455 169.024865 \nL 117.077727 169.024865 \nL 120.685 169.024865 \nL 124.292273 169.024865 \nL 127.899545 169.024865 \nL 131.506818 169.024865 \nL 135.114091 169.024865 \nL 138.721364 169.024865 \nL 142.328636 169.024865 \nL 145.935909 169.024865 \nL 149.543182 169.024865 \nL 153.150455 169.024865 \nL 156.757727 169.024865 \nL 160.365 169.024865 \nL 163.972273 169.024865 \nL 167.579545 169.024865 \nL 171.186818 169.024865 \nL 174.794091 169.024865 \nL 178.401364 169.024865 \nL 182.008636 169.024865 \nL 185.615909 169.024865 \nL 189.223182 169.024865 \nL 192.830455 169.024865 \nL 196.437727 169.024865 \nL 200.045 164.730947 \nL 203.652273 158.224763 \nL 207.259545 152.100703 \nL 210.866818 146.33632 \nL 214.474091 140.91049 \nL 218.081364 135.803328 \nL 221.688636 130.996116 \nL 225.295909 126.471237 \nL 228.903182 122.212109 \nL 232.510455 118.203124 \nL 236.117727 114.429588 \nL 239.725 110.877674 \nL 243.332273 107.534365 \nL 246.939545 104.387409 \nL 250.546818 101.425274 \nL 254.154091 98.637104 \nL 257.761364 96.012683 \nL 261.368636 93.542393 \nL 264.975909 91.217181 \nL 268.583182 89.028528 \nL 272.190455 86.968412 \nL 275.797727 85.029284 \nL 279.405 83.20404 \nL 283.012273 81.48599 \nL 286.619545 79.868839 \nL 290.226818 78.34666 \nL 293.834091 76.913877 \nL 297.441364 75.565239 \nL 301.048636 74.295804 \nL 304.655909 73.100921 \nL 308.263182 71.97621 \nL 311.870455 70.917552 \nL 315.477727 69.921066 \nL 319.085 68.983102 \nL 322.692273 68.100222 \nL 326.299545 67.269192 \nL 329.906818 66.486966 \nL 333.514091 65.750678 \nL 337.121364 65.05763 \nL 340.728636 64.405283 \nL 344.335909 63.791247 \nL 347.943182 63.213271 \nL 351.550455 62.669238 \nL 355.157727 62.157155 \nL 358.765 61.675144 \nL 362.372273 61.221441 \nL 365.979545 60.794382 \nL 369.586818 60.392403 \nL 373.194091 60.014031 \nL 376.801364 59.657879 \nL 380.408636 59.322643 \nL 384.015909 59.007095 \nL 387.623182 58.710077 \nL 391.230455 58.430502 \nL 394.837727 58.167346 \nL 398.445 57.919643 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_27\">\n    <path d=\"M 41.325 169.024865 \nL 44.932273 169.024865 \nL 48.539545 169.024865 \nL 52.146818 169.024865 \nL 55.754091 169.024865 \nL 59.361364 169.024865 \nL 62.968636 169.024865 \nL 66.575909 169.024865 \nL 70.183182 169.024865 \nL 73.790455 169.024865 \nL 77.397727 169.024865 \nL 81.005 169.024865 \nL 84.612273 169.024865 \nL 88.219545 169.024865 \nL 91.826818 169.024865 \nL 95.434091 169.024865 \nL 99.041364 169.024865 \nL 102.648636 169.024865 \nL 106.255909 169.024865 \nL 109.863182 169.024865 \nL 113.470455 169.024865 \nL 117.077727 169.024865 \nL 120.685 169.024865 \nL 124.292273 169.024865 \nL 127.899545 169.024865 \nL 131.506818 169.024865 \nL 135.114091 169.024865 \nL 138.721364 169.024865 \nL 142.328636 169.024865 \nL 145.935909 169.024865 \nL 149.543182 169.024865 \nL 153.150455 169.024865 \nL 156.757727 169.024865 \nL 160.365 169.024865 \nL 163.972273 169.024865 \nL 167.579545 169.024865 \nL 171.186818 169.024865 \nL 174.794091 169.024865 \nL 178.401364 169.024865 \nL 182.008636 169.024865 \nL 185.615909 169.024865 \nL 189.223182 163.592377 \nL 192.830455 157.15301 \nL 196.437727 151.091846 \nL 200.045 145.38667 \nL 203.652273 140.016574 \nL 207.259545 134.961874 \nL 210.866818 130.204048 \nL 214.474091 125.725657 \nL 218.081364 121.510289 \nL 221.688636 117.542495 \nL 225.295909 113.807735 \nL 228.903182 110.29232 \nL 232.510455 106.983369 \nL 236.117727 103.868755 \nL 239.725 100.937064 \nL 243.332273 98.177551 \nL 246.939545 95.580105 \nL 250.546818 93.135207 \nL 254.154091 90.833898 \nL 257.761364 88.667744 \nL 261.368636 86.628807 \nL 264.975909 84.709615 \nL 268.583182 82.903137 \nL 272.190455 81.202751 \nL 275.797727 79.602227 \nL 279.405 78.0957 \nL 283.012273 76.67765 \nL 286.619545 75.34288 \nL 290.226818 74.086499 \nL 293.834091 72.903903 \nL 297.441364 71.79076 \nL 301.048636 70.742989 \nL 304.655909 69.756752 \nL 308.263182 68.828434 \nL 311.870455 67.954635 \nL 315.477727 67.132152 \nL 319.085 66.357972 \nL 322.692273 65.629257 \nL 326.299545 64.943338 \nL 329.906818 64.297702 \nL 333.514091 63.689982 \nL 337.121364 63.117952 \nL 340.728636 62.579515 \nL 344.335909 62.0727 \nL 347.943182 61.595648 \nL 351.550455 61.146612 \nL 355.157727 60.723947 \nL 358.765 60.326103 \nL 362.372273 59.951624 \nL 365.979545 59.599137 \nL 369.586818 59.26735 \nL 373.194091 58.955048 \nL 376.801364 58.661086 \nL 380.408636 58.384388 \nL 384.015909 58.123939 \nL 387.623182 57.878785 \nL 391.230455 57.648029 \nL 394.837727 57.430824 \nL 398.445 57.226375 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_28\">\n    <path d=\"M 41.325 53.949405 \nL 44.932273 53.949405 \nL 48.539545 53.949405 \nL 52.146818 53.949405 \nL 55.754091 53.949405 \nL 59.361364 53.949405 \nL 62.968636 53.949405 \nL 66.575909 53.949405 \nL 70.183182 53.949405 \nL 73.790455 53.949405 \nL 77.397727 53.949405 \nL 81.005 53.949405 \nL 84.612273 53.949405 \nL 88.219545 53.949405 \nL 91.826818 53.949405 \nL 95.434091 53.949405 \nL 99.041364 53.949405 \nL 102.648636 53.949405 \nL 106.255909 53.949405 \nL 109.863182 53.949405 \nL 113.470455 53.949405 \nL 117.077727 53.949405 \nL 120.685 53.949405 \nL 124.292273 53.949405 \nL 127.899545 53.949405 \nL 131.506818 53.949405 \nL 135.114091 53.949405 \nL 138.721364 53.949405 \nL 142.328636 53.949405 \nL 145.935909 53.949405 \nL 149.543182 53.949405 \nL 153.150455 53.949405 \nL 156.757727 53.949405 \nL 160.365 53.949405 \nL 163.972273 53.949405 \nL 167.579545 53.949405 \nL 171.186818 53.949405 \nL 174.794091 53.949405 \nL 178.401364 53.949405 \nL 182.008636 53.949405 \nL 185.615909 53.949405 \nL 189.223182 53.949405 \nL 192.830455 53.949405 \nL 196.437727 53.949405 \nL 200.045 53.949405 \nL 203.652273 53.949405 \nL 207.259545 53.949405 \nL 210.866818 53.949405 \nL 214.474091 53.949405 \nL 218.081364 53.949405 \nL 221.688636 53.949405 \nL 225.295909 53.949405 \nL 228.903182 53.949405 \nL 232.510455 53.949405 \nL 236.117727 53.949405 \nL 239.725 53.949405 \nL 243.332273 53.949405 \nL 246.939545 53.949405 \nL 250.546818 53.949405 \nL 254.154091 53.949405 \nL 257.761364 53.949405 \nL 261.368636 53.949405 \nL 264.975909 53.949405 \nL 268.583182 53.949405 \nL 272.190455 53.949405 \nL 275.797727 53.949405 \nL 279.405 53.949405 \nL 283.012273 53.949405 \nL 286.619545 53.949405 \nL 290.226818 53.949405 \nL 293.834091 53.949405 \nL 297.441364 53.949405 \nL 301.048636 53.949405 \nL 304.655909 53.949405 \nL 308.263182 53.949405 \nL 311.870455 53.949405 \nL 315.477727 53.949405 \nL 319.085 53.949405 \nL 322.692273 53.949405 \nL 326.299545 53.949405 \nL 329.906818 53.949405 \nL 333.514091 53.949405 \nL 337.121364 53.949405 \nL 340.728636 53.949405 \nL 344.335909 53.949405 \nL 347.943182 53.949405 \nL 351.550455 53.949405 \nL 355.157727 53.949405 \nL 358.765 53.949405 \nL 362.372273 53.949405 \nL 365.979545 53.949405 \nL 369.586818 53.949405 \nL 373.194091 53.949405 \nL 376.801364 53.949405 \nL 380.408636 53.949405 \nL 384.015909 53.949405 \nL 387.623182 53.949405 \nL 391.230455 53.949405 \nL 394.837727 53.949405 \nL 398.445 53.949405 \n\" clip-path=\"url(#pd6fdb3819a)\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 41.325 273.312 \nL 41.325 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 398.445 273.312 \nL 398.445 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 41.325 273.312 \nL 398.445 273.312 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 41.325 7.2 \nL 398.445 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 48.325 268.312 \nL 160.195313 268.312 \nQ 162.195313 268.312 162.195313 266.312 \nL 162.195313 208.5995 \nQ 162.195313 206.5995 160.195313 206.5995 \nL 48.325 206.5995 \nQ 46.325 206.5995 46.325 208.5995 \nL 46.325 266.312 \nQ 46.325 268.312 48.325 268.312 \nz\n\" style=\"fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter\"/>\n    </g>\n    <g id=\"line2d_29\">\n     <path d=\"M 50.325 214.697937 \nL 60.325 214.697937 \nL 70.325 214.697937 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- Marine (MA) -->\n     <g transform=\"translate(78.325 218.197937) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4d\" d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-28\" d=\"M 1984 4856 \nQ 1566 4138 1362 3434 \nQ 1159 2731 1159 2009 \nQ 1159 1288 1364 580 \nQ 1569 -128 1984 -844 \nL 1484 -844 \nQ 1016 -109 783 600 \nQ 550 1309 550 2009 \nQ 550 2706 781 3412 \nQ 1013 4119 1484 4856 \nL 1984 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-41\" d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-29\" d=\"M 513 4856 \nL 1013 4856 \nQ 1481 4119 1714 3412 \nQ 1947 2706 1947 2009 \nQ 1947 1309 1714 600 \nQ 1481 -109 1013 -844 \nL 513 -844 \nQ 928 -128 1133 580 \nQ 1338 1288 1338 2009 \nQ 1338 2731 1133 3434 \nQ 928 4138 513 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4d\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"86.279297\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"147.558594\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"188.671875\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"216.455078\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"279.833984\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"341.357422\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"373.144531\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"412.158203\"/>\n      <use xlink:href=\"#DejaVuSans-41\" x=\"498.4375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"566.845703\"/>\n     </g>\n    </g>\n    <g id=\"line2d_30\">\n     <path d=\"M 50.325 229.376062 \nL 60.325 229.376062 \nL 70.325 229.376062 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- Boreal (HYY) -->\n     <g transform=\"translate(78.325 232.876062) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-42\" d=\"M 1259 2228 \nL 1259 519 \nL 2272 519 \nQ 2781 519 3026 730 \nQ 3272 941 3272 1375 \nQ 3272 1813 3026 2020 \nQ 2781 2228 2272 2228 \nL 1259 2228 \nz\nM 1259 4147 \nL 1259 2741 \nL 2194 2741 \nQ 2656 2741 2882 2914 \nQ 3109 3088 3109 3444 \nQ 3109 3797 2882 3972 \nQ 2656 4147 2194 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2241 4666 \nQ 2963 4666 3353 4366 \nQ 3744 4066 3744 3513 \nQ 3744 3084 3544 2831 \nQ 3344 2578 2956 2516 \nQ 3422 2416 3680 2098 \nQ 3938 1781 3938 1306 \nQ 3938 681 3513 340 \nQ 3088 0 2303 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-48\" d=\"M 628 4666 \nL 1259 4666 \nL 1259 2753 \nL 3553 2753 \nL 3553 4666 \nL 4184 4666 \nL 4184 0 \nL 3553 0 \nL 3553 2222 \nL 1259 2222 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-59\" d=\"M -13 4666 \nL 666 4666 \nL 1959 2747 \nL 3244 4666 \nL 3922 4666 \nL 2272 2222 \nL 2272 0 \nL 1638 0 \nL 1638 2222 \nL -13 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-42\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"68.603516\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"129.785156\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"168.648438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"230.171875\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"291.451172\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"319.234375\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"351.021484\"/>\n      <use xlink:href=\"#DejaVuSans-48\" x=\"390.035156\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"465.230469\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"526.314453\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"587.398438\"/>\n     </g>\n    </g>\n    <g id=\"line2d_31\">\n     <path d=\"M 50.325 244.054187 \nL 60.325 244.054187 \nL 70.325 244.054187 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- NUM event (NE) -->\n     <g transform=\"translate(78.325 247.554187) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-55\" d=\"M 556 4666 \nL 1191 4666 \nL 1191 1831 \nQ 1191 1081 1462 751 \nQ 1734 422 2344 422 \nQ 2950 422 3222 751 \nQ 3494 1081 3494 1831 \nL 3494 4666 \nL 4128 4666 \nL 4128 1753 \nQ 4128 841 3676 375 \nQ 3225 -91 2344 -91 \nQ 1459 -91 1007 375 \nQ 556 841 556 1753 \nL 556 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-76\" d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-45\" d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use xlink:href=\"#DejaVuSans-55\" x=\"74.804688\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"147.998047\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"234.277344\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"266.064453\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"327.587891\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"386.767578\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"448.291016\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"511.669922\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"550.878906\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"582.666016\"/>\n      <use xlink:href=\"#DejaVuSans-4e\" x=\"621.679688\"/>\n      <use xlink:href=\"#DejaVuSans-45\" x=\"696.484375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"759.667969\"/>\n     </g>\n    </g>\n    <g id=\"line2d_32\">\n     <path d=\"M 50.325 258.732312 \nL 60.325 258.732312 \nL 70.325 258.732312 \n\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- pure water -->\n     <g transform=\"translate(78.325 262.232312) scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-70\" d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-77\" d=\"M 269 3500 \nL 844 3500 \nL 1563 769 \nL 2278 3500 \nL 2956 3500 \nL 3675 769 \nL 4391 3500 \nL 4966 3500 \nL 4050 0 \nL 3372 0 \nL 2619 2869 \nL 1863 0 \nL 1184 0 \nL 269 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-70\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"63.476562\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"126.855469\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"165.71875\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"227.242188\"/>\n      <use xlink:href=\"#DejaVuSans-77\" x=\"259.029297\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"340.816406\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"402.095703\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"441.304688\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"502.828125\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd6fdb3819a\">\n   <rect x=\"41.325\" y=\"7.2\" width=\"357.12\" height=\"266.112\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"396.05pt\" height=\"262.19625pt\" viewBox=\"0 0 396.05 262.19625\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2024-01-27T17:49:11.823914</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.5.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 262.19625 \nL 396.05 262.19625 \nL 396.05 0 \nL 0 0 \nL 0 262.19625 \nz\n\" style=\"fill: none\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 41.325 224.64 \nL 376.125 224.64 \nL 376.125 7.2 \nL 41.325 7.2 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path d=\"M 118.790426 224.64 \nL 118.790426 7.2 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path id=\"mf8aaad31a8\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#mf8aaad31a8\" x=\"118.790426\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 300 -->\n      <g transform=\"translate(109.246676 239.238438)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path d=\"M 175.879779 224.64 \nL 175.879779 7.2 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#mf8aaad31a8\" x=\"175.879779\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 500 -->\n      <g transform=\"translate(166.336029 239.238438)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-35\" d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path d=\"M 213.483575 224.64 \nL 213.483575 7.2 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use xlink:href=\"#mf8aaad31a8\" x=\"213.483575\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 700 -->\n      <g transform=\"translate(203.939825 239.238438)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-37\" d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path d=\"M 253.345205 224.64 \nL 253.345205 7.2 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#mf8aaad31a8\" x=\"253.345205\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 1000 -->\n      <g transform=\"translate(240.620205 239.238438)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-31\" d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"190.869141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path d=\"M 376.125 224.64 \nL 376.125 7.2 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use xlink:href=\"#mf8aaad31a8\" x=\"376.125\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 3000 -->\n      <g transform=\"translate(363.4 239.238438)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"190.869141\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <defs>\n       <path id=\"m7373b8e63d\" d=\"M 0 0 \nL 0 2 \n\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m7373b8e63d\" x=\"73.476057\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#m7373b8e63d\" x=\"150.941482\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_13\">\n      <g>\n       <use xlink:href=\"#m7373b8e63d\" x=\"196.255852\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_14\">\n      <g>\n       <use xlink:href=\"#m7373b8e63d\" x=\"228.406908\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_15\">\n      <g>\n       <use xlink:href=\"#m7373b8e63d\" x=\"241.570221\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#m7373b8e63d\" x=\"330.810631\" y=\"224.64\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_6\">\n     <!-- Wet radius [nm] -->\n     <g transform=\"translate(168.463281 252.916563)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-57\" d=\"M 213 4666 \nL 850 4666 \nL 1831 722 \nL 2809 4666 \nL 3519 4666 \nL 4500 722 \nL 5478 4666 \nL 6119 4666 \nL 4947 0 \nL 4153 0 \nL 3169 4050 \nL 2175 0 \nL 1381 0 \nL 213 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5b\" d=\"M 550 4863 \nL 1875 4863 \nL 1875 4416 \nL 1125 4416 \nL 1125 -397 \nL 1875 -397 \nL 1875 -844 \nL 550 -844 \nL 550 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \nQ 3544 3216 3844 3400 \nQ 4144 3584 4550 3584 \nQ 5097 3584 5394 3201 \nQ 5691 2819 5691 2113 \nL 5691 0 \nL 5113 0 \nL 5113 2094 \nQ 5113 2597 4934 2840 \nQ 4756 3084 4391 3084 \nQ 3944 3084 3684 2787 \nQ 3425 2491 3425 1978 \nL 3425 0 \nL 2847 0 \nL 2847 2094 \nQ 2847 2600 2669 2842 \nQ 2491 3084 2119 3084 \nQ 1678 3084 1418 2786 \nQ 1159 2488 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1356 3278 1631 3431 \nQ 1906 3584 2284 3584 \nQ 2666 3584 2933 3390 \nQ 3200 3197 3328 2828 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5d\" d=\"M 1947 4863 \nL 1947 -844 \nL 622 -844 \nL 622 -397 \nL 1369 -397 \nL 1369 4416 \nL 622 4416 \nL 622 4863 \nL 1947 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-57\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"93.001953\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"154.525391\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"193.734375\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"225.521484\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"266.634766\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"327.914062\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"391.390625\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"419.173828\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"482.552734\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"534.652344\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"566.439453\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"605.453125\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"668.832031\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"766.244141\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_17\">\n      <path d=\"M 41.325 198.194595 \nL 376.125 198.194595 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <defs>\n       <path id=\"m2bc03ab69b\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m2bc03ab69b\" x=\"41.325\" y=\"198.194595\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 20 -->\n      <g transform=\"translate(21.6 201.993813)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_19\">\n      <path d=\"M 41.325 139.427027 \nL 376.125 139.427027 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use xlink:href=\"#m2bc03ab69b\" x=\"41.325\" y=\"139.427027\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 40 -->\n      <g transform=\"translate(21.6 143.226246)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_21\">\n      <path d=\"M 41.325 80.659459 \nL 376.125 80.659459 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#m2bc03ab69b\" x=\"41.325\" y=\"80.659459\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 60 -->\n      <g transform=\"translate(21.6 84.458678)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_23\">\n      <path d=\"M 41.325 21.891892 \nL 376.125 21.891892 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#m2bc03ab69b\" x=\"41.325\" y=\"21.891892\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 80 -->\n      <g transform=\"translate(21.6 25.691111)scale(0.1 -0.1)\">\n       <defs>\n        <path id=\"DejaVuSans-38\" d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_11\">\n     <!-- Surface tension [mN m$^{-1}$] -->\n     <g transform=\"translate(15.520312 180.92)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-53\" d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-66\" d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-63\" d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\" transform=\"translate(0 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-75\" transform=\"translate(63.476562 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-72\" transform=\"translate(126.855469 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-66\" transform=\"translate(167.96875 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-61\" transform=\"translate(203.173828 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-63\" transform=\"translate(264.453125 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(319.433594 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(380.957031 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(412.744141 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(451.953125 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(513.476562 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-73\" transform=\"translate(576.855469 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(628.955078 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" transform=\"translate(656.738281 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(717.919922 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(781.298828 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" transform=\"translate(813.085938 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(852.099609 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-4e\" transform=\"translate(949.511719 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(1024.316406 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(1056.103516 0.684375)\"/>\n      <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(1154.472656 38.965625)scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(1213.125 38.965625)scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" transform=\"translate(1260.395508 0.684375)\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_25\">\n    <path d=\"M 41.325 139.427027 \nL 44.706818 139.427027 \nL 48.088636 139.427027 \nL 51.470455 139.427027 \nL 54.852273 139.427027 \nL 58.234091 139.427027 \nL 61.615909 139.427027 \nL 64.997727 139.427027 \nL 68.379545 139.427027 \nL 71.761364 139.427027 \nL 75.143182 139.427027 \nL 78.525 139.427027 \nL 81.906818 139.427027 \nL 85.288636 139.427027 \nL 88.670455 139.427027 \nL 92.052273 139.427027 \nL 95.434091 139.427027 \nL 98.815909 139.427027 \nL 102.197727 139.427027 \nL 105.579545 139.427027 \nL 108.961364 139.427027 \nL 112.343182 139.427027 \nL 115.725 139.427027 \nL 119.106818 139.427027 \nL 122.488636 139.427027 \nL 125.870455 139.427027 \nL 129.252273 139.427027 \nL 132.634091 139.427027 \nL 136.015909 139.427027 \nL 139.397727 139.427027 \nL 142.779545 139.427027 \nL 146.161364 136.938903 \nL 149.543182 131.562556 \nL 152.925 126.501992 \nL 156.306818 121.738662 \nL 159.688636 117.255108 \nL 163.070455 113.034893 \nL 166.452273 109.062551 \nL 169.834091 105.323521 \nL 173.215909 101.8041 \nL 176.597727 98.491386 \nL 179.979545 95.37324 \nL 183.361364 92.438232 \nL 186.743182 89.675606 \nL 190.125 87.075236 \nL 193.506818 84.627592 \nL 196.888636 82.323704 \nL 200.270455 80.155127 \nL 203.652273 78.113915 \nL 207.034091 76.192587 \nL 210.415909 74.384101 \nL 213.797727 72.681829 \nL 217.179545 71.079534 \nL 220.561364 69.571342 \nL 223.943182 68.151728 \nL 227.325 66.815488 \nL 230.706818 65.557726 \nL 234.088636 64.373833 \nL 237.470455 63.25947 \nL 240.852273 62.210553 \nL 244.234091 61.223238 \nL 247.615909 60.293908 \nL 250.997727 59.419157 \nL 254.379545 58.59578 \nL 257.761364 57.820759 \nL 261.143182 57.091254 \nL 264.525 56.404592 \nL 267.906818 55.758257 \nL 271.288636 55.14988 \nL 274.670455 54.577233 \nL 278.052273 54.038216 \nL 281.434091 53.530854 \nL 284.815909 53.053289 \nL 288.197727 52.603771 \nL 291.579545 52.180652 \nL 294.961364 51.782382 \nL 298.343182 51.407501 \nL 301.725 51.054636 \nL 305.106818 50.722495 \nL 308.488636 50.409859 \nL 311.870455 50.115583 \nL 315.252273 49.83859 \nL 318.634091 49.577863 \nL 322.015909 49.332449 \nL 325.397727 49.101446 \nL 328.779545 48.88401 \nL 332.161364 48.679344 \nL 335.543182 48.486696 \nL 338.925 48.305363 \nL 342.306818 48.134678 \nL 345.688636 47.974018 \nL 349.070455 47.822792 \nL 352.452273 47.680447 \nL 355.834091 47.546462 \nL 359.215909 47.420346 \nL 362.597727 47.301635 \nL 365.979545 47.189896 \nL 369.361364 47.08472 \nL 372.743182 46.985719 \nL 376.125 46.892533 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_26\">\n    <path d=\"M 41.325 139.427027 \nL 44.706818 139.427027 \nL 48.088636 139.427027 \nL 51.470455 139.427027 \nL 54.852273 139.427027 \nL 58.234091 139.427027 \nL 61.615909 139.427027 \nL 64.997727 139.427027 \nL 68.379545 139.427027 \nL 71.761364 139.427027 \nL 75.143182 139.427027 \nL 78.525 139.427027 \nL 81.906818 139.427027 \nL 85.288636 139.427027 \nL 88.670455 139.427027 \nL 92.052273 139.427027 \nL 95.434091 139.427027 \nL 98.815909 139.427027 \nL 102.197727 139.427027 \nL 105.579545 139.427027 \nL 108.961364 139.427027 \nL 112.343182 139.427027 \nL 115.725 139.427027 \nL 119.106818 139.427027 \nL 122.488636 139.427027 \nL 125.870455 139.427027 \nL 129.252273 139.427027 \nL 132.634091 139.427027 \nL 136.015909 139.427027 \nL 139.397727 139.427027 \nL 142.779545 139.427027 \nL 146.161364 139.427027 \nL 149.543182 139.427027 \nL 152.925 139.427027 \nL 156.306818 139.427027 \nL 159.688636 139.427027 \nL 163.070455 139.427027 \nL 166.452273 139.427027 \nL 169.834091 139.427027 \nL 173.215909 139.427027 \nL 176.597727 139.427027 \nL 179.979545 139.427027 \nL 183.361364 139.427027 \nL 186.743182 139.427027 \nL 190.125 135.918468 \nL 193.506818 130.602269 \nL 196.888636 125.598301 \nL 200.270455 120.888227 \nL 203.652273 116.454784 \nL 207.034091 112.281723 \nL 210.415909 108.353753 \nL 213.797727 104.656476 \nL 217.179545 101.176345 \nL 220.561364 97.900604 \nL 223.943182 94.81725 \nL 227.325 91.914983 \nL 230.706818 89.183166 \nL 234.088636 86.61179 \nL 237.470455 84.19143 \nL 240.852273 81.913218 \nL 244.234091 79.768805 \nL 247.615909 77.750332 \nL 250.997727 75.850402 \nL 254.379545 74.062054 \nL 257.761364 72.378735 \nL 261.143182 70.794275 \nL 264.525 69.302868 \nL 267.906818 67.89905 \nL 271.288636 66.577677 \nL 274.670455 65.333905 \nL 278.052273 64.163179 \nL 281.434091 63.061207 \nL 284.815909 62.023952 \nL 288.197727 61.047614 \nL 291.579545 60.128613 \nL 294.961364 59.263584 \nL 298.343182 58.449356 \nL 301.725 57.682946 \nL 305.106818 56.961545 \nL 308.488636 56.28251 \nL 311.870455 55.643354 \nL 315.252273 55.041733 \nL 318.634091 54.475444 \nL 322.015909 53.942412 \nL 325.397727 53.440683 \nL 328.779545 52.968419 \nL 332.161364 52.52389 \nL 335.543182 52.105467 \nL 338.925 51.711617 \nL 342.306818 51.340896 \nL 345.688636 50.991946 \nL 349.070455 50.663489 \nL 352.452273 50.354322 \nL 355.834091 50.06331 \nL 359.215909 49.789389 \nL 362.597727 49.531554 \nL 365.979545 49.288861 \nL 369.361364 49.060421 \nL 372.743182 48.845396 \nL 376.125 48.642999 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_27\">\n    <path d=\"M 41.325 139.427027 \nL 44.706818 139.427027 \nL 48.088636 139.427027 \nL 51.470455 139.427027 \nL 54.852273 139.427027 \nL 58.234091 139.427027 \nL 61.615909 139.427027 \nL 64.997727 139.427027 \nL 68.379545 139.427027 \nL 71.761364 139.427027 \nL 75.143182 139.427027 \nL 78.525 139.427027 \nL 81.906818 139.427027 \nL 85.288636 139.427027 \nL 88.670455 139.427027 \nL 92.052273 139.427027 \nL 95.434091 139.427027 \nL 98.815909 139.427027 \nL 102.197727 139.427027 \nL 105.579545 139.427027 \nL 108.961364 139.427027 \nL 112.343182 139.427027 \nL 115.725 139.427027 \nL 119.106818 139.427027 \nL 122.488636 139.427027 \nL 125.870455 139.427027 \nL 129.252273 139.427027 \nL 132.634091 139.427027 \nL 136.015909 139.427027 \nL 139.397727 139.427027 \nL 142.779545 139.427027 \nL 146.161364 139.427027 \nL 149.543182 139.427027 \nL 152.925 139.427027 \nL 156.306818 139.427027 \nL 159.688636 139.427027 \nL 163.070455 139.427027 \nL 166.452273 139.427027 \nL 169.834091 139.427027 \nL 173.215909 139.427027 \nL 176.597727 139.427027 \nL 179.979545 134.988143 \nL 183.361364 129.72654 \nL 186.743182 124.773965 \nL 190.125 120.112269 \nL 193.506818 115.724365 \nL 196.888636 111.594172 \nL 200.270455 107.706554 \nL 203.652273 104.047263 \nL 207.034091 100.602887 \nL 210.415909 97.360805 \nL 213.797727 94.309134 \nL 217.179545 91.43669 \nL 220.561364 88.732948 \nL 223.943182 86.187998 \nL 227.325 83.792514 \nL 230.706818 81.537718 \nL 234.088636 79.415346 \nL 237.470455 77.417621 \nL 240.852273 75.537222 \nL 244.234091 73.767258 \nL 247.615909 72.101244 \nL 250.997727 70.533073 \nL 254.379545 69.057 \nL 257.761364 67.667616 \nL 261.143182 66.359829 \nL 264.525 65.128846 \nL 267.906818 63.970158 \nL 271.288636 62.879518 \nL 274.670455 61.852929 \nL 278.052273 60.886631 \nL 281.434091 59.977082 \nL 284.815909 59.120949 \nL 288.197727 58.315095 \nL 291.579545 57.556567 \nL 294.961364 56.842586 \nL 298.343182 56.170535 \nL 301.725 55.537953 \nL 305.106818 54.942521 \nL 308.488636 54.382057 \nL 311.870455 53.854507 \nL 315.252273 53.35794 \nL 318.634091 52.890534 \nL 322.015909 52.450578 \nL 325.397727 52.036459 \nL 328.779545 51.64666 \nL 332.161364 51.279753 \nL 335.543182 50.934394 \nL 338.925 50.609316 \nL 342.306818 50.303329 \nL 345.688636 50.015312 \nL 349.070455 49.744209 \nL 352.452273 49.489027 \nL 355.834091 49.248831 \nL 359.215909 49.022741 \nL 362.597727 48.809928 \nL 365.979545 48.609614 \nL 369.361364 48.421063 \nL 372.743182 48.243584 \nL 376.125 48.076529 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_28\">\n    <path d=\"M 41.325 45.398919 \nL 44.706818 45.398919 \nL 48.088636 45.398919 \nL 51.470455 45.398919 \nL 54.852273 45.398919 \nL 58.234091 45.398919 \nL 61.615909 45.398919 \nL 64.997727 45.398919 \nL 68.379545 45.398919 \nL 71.761364 45.398919 \nL 75.143182 45.398919 \nL 78.525 45.398919 \nL 81.906818 45.398919 \nL 85.288636 45.398919 \nL 88.670455 45.398919 \nL 92.052273 45.398919 \nL 95.434091 45.398919 \nL 98.815909 45.398919 \nL 102.197727 45.398919 \nL 105.579545 45.398919 \nL 108.961364 45.398919 \nL 112.343182 45.398919 \nL 115.725 45.398919 \nL 119.106818 45.398919 \nL 122.488636 45.398919 \nL 125.870455 45.398919 \nL 129.252273 45.398919 \nL 132.634091 45.398919 \nL 136.015909 45.398919 \nL 139.397727 45.398919 \nL 142.779545 45.398919 \nL 146.161364 45.398919 \nL 149.543182 45.398919 \nL 152.925 45.398919 \nL 156.306818 45.398919 \nL 159.688636 45.398919 \nL 163.070455 45.398919 \nL 166.452273 45.398919 \nL 169.834091 45.398919 \nL 173.215909 45.398919 \nL 176.597727 45.398919 \nL 179.979545 45.398919 \nL 183.361364 45.398919 \nL 186.743182 45.398919 \nL 190.125 45.398919 \nL 193.506818 45.398919 \nL 196.888636 45.398919 \nL 200.270455 45.398919 \nL 203.652273 45.398919 \nL 207.034091 45.398919 \nL 210.415909 45.398919 \nL 213.797727 45.398919 \nL 217.179545 45.398919 \nL 220.561364 45.398919 \nL 223.943182 45.398919 \nL 227.325 45.398919 \nL 230.706818 45.398919 \nL 234.088636 45.398919 \nL 237.470455 45.398919 \nL 240.852273 45.398919 \nL 244.234091 45.398919 \nL 247.615909 45.398919 \nL 250.997727 45.398919 \nL 254.379545 45.398919 \nL 257.761364 45.398919 \nL 261.143182 45.398919 \nL 264.525 45.398919 \nL 267.906818 45.398919 \nL 271.288636 45.398919 \nL 274.670455 45.398919 \nL 278.052273 45.398919 \nL 281.434091 45.398919 \nL 284.815909 45.398919 \nL 288.197727 45.398919 \nL 291.579545 45.398919 \nL 294.961364 45.398919 \nL 298.343182 45.398919 \nL 301.725 45.398919 \nL 305.106818 45.398919 \nL 308.488636 45.398919 \nL 311.870455 45.398919 \nL 315.252273 45.398919 \nL 318.634091 45.398919 \nL 322.015909 45.398919 \nL 325.397727 45.398919 \nL 328.779545 45.398919 \nL 332.161364 45.398919 \nL 335.543182 45.398919 \nL 338.925 45.398919 \nL 342.306818 45.398919 \nL 345.688636 45.398919 \nL 349.070455 45.398919 \nL 352.452273 45.398919 \nL 355.834091 45.398919 \nL 359.215909 45.398919 \nL 362.597727 45.398919 \nL 365.979545 45.398919 \nL 369.361364 45.398919 \nL 372.743182 45.398919 \nL 376.125 45.398919 \n\" clip-path=\"url(#p444863df4d)\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 41.325 224.64 \nL 41.325 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 376.125 224.64 \nL 376.125 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 41.325 224.64 \nL 376.125 224.64 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 41.325 7.2 \nL 376.125 7.2 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 48.325 219.64 \nL 160.195312 219.64 \nQ 162.195312 219.64 162.195312 217.64 \nL 162.195312 159.9275 \nQ 162.195312 157.9275 160.195312 157.9275 \nL 48.325 157.9275 \nQ 46.325 157.9275 46.325 159.9275 \nL 46.325 217.64 \nQ 46.325 219.64 48.325 219.64 \nz\n\" style=\"fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter\"/>\n    </g>\n    <g id=\"line2d_29\">\n     <path d=\"M 50.325 166.025937 \nL 60.325 166.025937 \nL 70.325 166.025937 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_12\">\n     <!-- Marine (MA) -->\n     <g transform=\"translate(78.325 169.525937)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-4d\" d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-28\" d=\"M 1984 4856 \nQ 1566 4138 1362 3434 \nQ 1159 2731 1159 2009 \nQ 1159 1288 1364 580 \nQ 1569 -128 1984 -844 \nL 1484 -844 \nQ 1016 -109 783 600 \nQ 550 1309 550 2009 \nQ 550 2706 781 3412 \nQ 1013 4119 1484 4856 \nL 1984 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-41\" d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-29\" d=\"M 513 4856 \nL 1013 4856 \nQ 1481 4119 1714 3412 \nQ 1947 2706 1947 2009 \nQ 1947 1309 1714 600 \nQ 1481 -109 1013 -844 \nL 513 -844 \nQ 928 -128 1133 580 \nQ 1338 1288 1338 2009 \nQ 1338 2731 1133 3434 \nQ 928 4138 513 4856 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4d\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"86.279297\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"147.558594\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"188.671875\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"216.455078\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"279.833984\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"341.357422\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"373.144531\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"412.158203\"/>\n      <use xlink:href=\"#DejaVuSans-41\" x=\"498.4375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"566.845703\"/>\n     </g>\n    </g>\n    <g id=\"line2d_30\">\n     <path d=\"M 50.325 180.704063 \nL 60.325 180.704063 \nL 70.325 180.704063 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- Boreal (HYY) -->\n     <g transform=\"translate(78.325 184.204063)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-42\" d=\"M 1259 2228 \nL 1259 519 \nL 2272 519 \nQ 2781 519 3026 730 \nQ 3272 941 3272 1375 \nQ 3272 1813 3026 2020 \nQ 2781 2228 2272 2228 \nL 1259 2228 \nz\nM 1259 4147 \nL 1259 2741 \nL 2194 2741 \nQ 2656 2741 2882 2914 \nQ 3109 3088 3109 3444 \nQ 3109 3797 2882 3972 \nQ 2656 4147 2194 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2241 4666 \nQ 2963 4666 3353 4366 \nQ 3744 4066 3744 3513 \nQ 3744 3084 3544 2831 \nQ 3344 2578 2956 2516 \nQ 3422 2416 3680 2098 \nQ 3938 1781 3938 1306 \nQ 3938 681 3513 340 \nQ 3088 0 2303 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-48\" d=\"M 628 4666 \nL 1259 4666 \nL 1259 2753 \nL 3553 2753 \nL 3553 4666 \nL 4184 4666 \nL 4184 0 \nL 3553 0 \nL 3553 2222 \nL 1259 2222 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-59\" d=\"M -13 4666 \nL 666 4666 \nL 1959 2747 \nL 3244 4666 \nL 3922 4666 \nL 2272 2222 \nL 2272 0 \nL 1638 0 \nL 1638 2222 \nL -13 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-42\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"68.603516\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"129.785156\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"168.648438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"230.171875\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"291.451172\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"319.234375\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"351.021484\"/>\n      <use xlink:href=\"#DejaVuSans-48\" x=\"390.035156\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"465.230469\"/>\n      <use xlink:href=\"#DejaVuSans-59\" x=\"526.314453\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"587.398438\"/>\n     </g>\n    </g>\n    <g id=\"line2d_31\">\n     <path d=\"M 50.325 195.382188 \nL 60.325 195.382188 \nL 70.325 195.382188 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- NUM event (NE) -->\n     <g transform=\"translate(78.325 198.882188)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-55\" d=\"M 556 4666 \nL 1191 4666 \nL 1191 1831 \nQ 1191 1081 1462 751 \nQ 1734 422 2344 422 \nQ 2950 422 3222 751 \nQ 3494 1081 3494 1831 \nL 3494 4666 \nL 4128 4666 \nL 4128 1753 \nQ 4128 841 3676 375 \nQ 3225 -91 2344 -91 \nQ 1459 -91 1007 375 \nQ 556 841 556 1753 \nL 556 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-76\" d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-45\" d=\"M 628 4666 \nL 3578 4666 \nL 3578 4134 \nL 1259 4134 \nL 1259 2753 \nL 3481 2753 \nL 3481 2222 \nL 1259 2222 \nL 1259 531 \nL 3634 531 \nL 3634 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use xlink:href=\"#DejaVuSans-55\" x=\"74.804688\"/>\n      <use xlink:href=\"#DejaVuSans-4d\" x=\"147.998047\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"234.277344\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"266.064453\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"327.587891\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"386.767578\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"448.291016\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"511.669922\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"550.878906\"/>\n      <use xlink:href=\"#DejaVuSans-28\" x=\"582.666016\"/>\n      <use xlink:href=\"#DejaVuSans-4e\" x=\"621.679688\"/>\n      <use xlink:href=\"#DejaVuSans-45\" x=\"696.484375\"/>\n      <use xlink:href=\"#DejaVuSans-29\" x=\"759.667969\"/>\n     </g>\n    </g>\n    <g id=\"line2d_32\">\n     <path d=\"M 50.325 210.060313 \nL 60.325 210.060313 \nL 70.325 210.060313 \n\" style=\"fill: none; stroke: #808080; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- pure water -->\n     <g transform=\"translate(78.325 213.560313)scale(0.1 -0.1)\">\n      <defs>\n       <path id=\"DejaVuSans-70\" d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-77\" d=\"M 269 3500 \nL 844 3500 \nL 1563 769 \nL 2278 3500 \nL 2956 3500 \nL 3675 769 \nL 4391 3500 \nL 4966 3500 \nL 4050 0 \nL 3372 0 \nL 2619 2869 \nL 1863 0 \nL 1184 0 \nL 269 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-70\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"63.476562\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"126.855469\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"165.71875\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"227.242188\"/>\n      <use xlink:href=\"#DejaVuSans-77\" x=\"259.029297\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"340.816406\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"402.095703\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"441.304688\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"502.828125\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p444863df4d\">\n   <rect x=\"41.325\" y=\"7.2\" width=\"334.8\" height=\"217.44\"/>\n  </clipPath>\n </defs>\n</svg>\n",
       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e6caba768d2d4aa7bf8f04066b3aff6c",
+       "model_id": "828ab372642943abbecdea3b846fa682",
        "version_major": 2,
        "version_minor": 0
       },
@@ -289,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T11:52:35.607915Z",
diff --git a/examples/PySDM_examples/Lowe_et_al_2019/fig_2.ipynb b/examples/PySDM_examples/Lowe_et_al_2019/fig_2.ipynb
index 685a9080b..eb8dade7e 100644
--- a/examples/PySDM_examples/Lowe_et_al_2019/fig_2.ipynb
+++ b/examples/PySDM_examples/Lowe_et_al_2019/fig_2.ipynb
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T11:52:36.478184Z",
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T14:06:33.850244Z",
@@ -48,6 +48,7 @@
    "source": [
     "from PySDM_examples.Lowe_et_al_2019 import Settings, Simulation\n",
     "from PySDM_examples.Lowe_et_al_2019.aerosol_code import AerosolBoreal, AerosolMarine, AerosolNascent\n",
+    "from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS\n",
     "from open_atmos_jupyter_utils import show_plot\n",
     "\n",
     "from PySDM import Formulae\n",
@@ -62,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T11:54:54.155673Z",
@@ -71,18 +72,10 @@
    },
    "outputs": [],
    "source": [
-    "consts = {\"delta_min\":0.1, \n",
-    "          \"MAC\":1, \n",
-    "          \"HAC\":1, \n",
-    "          \"c_pd\":1006 * si.joule / si.kilogram / si.kelvin, \n",
-    "          \"g_std\":9.81 * si.m / si.s ** 2,\n",
-    "          \"scipy_ode_solver\":False\n",
-    "          }\n",
-    "\n",
     "output = {}\n",
     "\n",
-    "FORMULAE = Formulae()\n",
-    "WATER_MOLAR_VOLUME = FORMULAE.constants.Mv / FORMULAE.constants.rho_w\n",
+    "FORMULAE = Formulae(constants=LOWE_CONSTS)\n",
+    "WATER_MOLAR_VOLUME = FORMULAE.constants.water_molar_volume\n",
     "for aerosol in (\n",
     "    AerosolMarine(water_molar_volume=WATER_MOLAR_VOLUME), \n",
     "    AerosolBoreal(water_molar_volume=WATER_MOLAR_VOLUME), \n",
@@ -95,7 +88,6 @@
     "            model=model,\n",
     "            aerosol=aerosol,\n",
     "            spectral_sampling=spec_sampling.ConstantMultiplicity,\n",
-    "            **consts\n",
     "        )\n",
     "        simulation = Simulation(settings)\n",
     "        output[key] = simulation.run()\n",
@@ -107,24 +99,47 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T11:54:55.991461Z",
      "start_time": "2023-12-29T11:54:54.153896Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"679.471875pt\" height=\"277.388281pt\" viewBox=\"0 0 679.471875 277.388281\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2024-01-29T17:03:54.107043</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.5.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 277.388281 \nL 679.471875 277.388281 \nL 679.471875 0 \nL 0 0 \nL 0 277.388281 \nz\n\" style=\"fill: none\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 58.471875 229.958906 \nL 337.471875 229.958906 \nL 337.471875 12.518906 \nL 58.471875 12.518906 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path d=\"M 58.471875 229.958906 \nL 58.471875 12.518906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path id=\"m470fde96d5\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"58.471875\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0.0 -->\n      <g transform=\"translate(47.339688 247.596719)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-2e\" d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path d=\"M 114.271875 229.958906 \nL 114.271875 12.518906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"114.271875\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 0.1 -->\n      <g transform=\"translate(103.139688 247.596719)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-31\" d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-31\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path d=\"M 170.071875 229.958906 \nL 170.071875 12.518906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"170.071875\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 0.2 -->\n      <g transform=\"translate(158.939687 247.596719)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-32\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path d=\"M 225.871875 229.958906 \nL 225.871875 12.518906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"225.871875\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 0.3 -->\n      <g transform=\"translate(214.739688 247.596719)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-33\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path d=\"M 281.671875 229.958906 \nL 281.671875 12.518906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"281.671875\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 0.4 -->\n      <g transform=\"translate(270.539688 247.596719)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-34\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path d=\"M 337.471875 229.958906 \nL 337.471875 12.518906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"337.471875\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 0.5 -->\n      <g transform=\"translate(326.339688 247.596719)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-35\" d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-35\" x=\"95.410156\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_7\">\n     <!-- Supersaturation [%] -->\n     <g transform=\"translate(127.432656 265.146094)scale(0.14 -0.14)\">\n      <defs>\n       <path id=\"DejaVuSans-53\" d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-70\" d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5b\" d=\"M 550 4863 \nL 1875 4863 \nL 1875 4416 \nL 1125 4416 \nL 1125 -397 \nL 1875 -397 \nL 1875 -844 \nL 550 -844 \nL 550 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-25\" d=\"M 4653 2053 \nQ 4381 2053 4226 1822 \nQ 4072 1591 4072 1178 \nQ 4072 772 4226 539 \nQ 4381 306 4653 306 \nQ 4919 306 5073 539 \nQ 5228 772 5228 1178 \nQ 5228 1588 5073 1820 \nQ 4919 2053 4653 2053 \nz\nM 4653 2450 \nQ 5147 2450 5437 2106 \nQ 5728 1763 5728 1178 \nQ 5728 594 5436 251 \nQ 5144 -91 4653 -91 \nQ 4153 -91 3862 251 \nQ 3572 594 3572 1178 \nQ 3572 1766 3864 2108 \nQ 4156 2450 4653 2450 \nz\nM 1428 4353 \nQ 1159 4353 1004 4120 \nQ 850 3888 850 3481 \nQ 850 3069 1003 2837 \nQ 1156 2606 1428 2606 \nQ 1700 2606 1854 2837 \nQ 2009 3069 2009 3481 \nQ 2009 3884 1853 4118 \nQ 1697 4353 1428 4353 \nz\nM 4250 4750 \nL 4750 4750 \nL 1831 -91 \nL 1331 -91 \nL 4250 4750 \nz\nM 1428 4750 \nQ 1922 4750 2215 4408 \nQ 2509 4066 2509 3481 \nQ 2509 2891 2217 2550 \nQ 1925 2209 1428 2209 \nQ 931 2209 642 2551 \nQ 353 2894 353 3481 \nQ 353 4063 643 4406 \nQ 934 4750 1428 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5d\" d=\"M 1947 4863 \nL 1947 -844 \nL 622 -844 \nL 622 -397 \nL 1369 -397 \nL 1369 4416 \nL 622 4416 \nL 622 4863 \nL 1947 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-53\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"63.476562\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"126.855469\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"190.332031\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"251.855469\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"292.96875\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"345.068359\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"406.347656\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"445.556641\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"508.935547\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"550.048828\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"611.328125\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"650.537109\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"678.320312\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"739.501953\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"802.880859\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"834.667969\"/>\n      <use xlink:href=\"#DejaVuSans-25\" x=\"873.681641\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"968.701172\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_13\">\n      <path d=\"M 58.471875 229.958906 \nL 337.471875 229.958906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_14\">\n      <defs>\n       <path id=\"maba2731892\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"58.471875\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 0 -->\n      <g transform=\"translate(42.564375 235.277813)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_15\">\n      <path d=\"M 58.471875 186.470906 \nL 337.471875 186.470906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"58.471875\" y=\"186.470906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 20 -->\n      <g transform=\"translate(33.656875 191.789813)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_17\">\n      <path d=\"M 58.471875 142.982906 \nL 337.471875 142.982906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"58.471875\" y=\"142.982906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 40 -->\n      <g transform=\"translate(33.656875 148.301813)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_19\">\n      <path d=\"M 58.471875 99.494906 \nL 337.471875 99.494906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"58.471875\" y=\"99.494906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 60 -->\n      <g transform=\"translate(33.656875 104.813813)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_21\">\n      <path d=\"M 58.471875 56.006906 \nL 337.471875 56.006906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"58.471875\" y=\"56.006906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 80 -->\n      <g transform=\"translate(33.656875 61.325813)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-38\" d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_23\">\n      <path d=\"M 58.471875 12.518906 \nL 337.471875 12.518906 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"58.471875\" y=\"12.518906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 100 -->\n      <g transform=\"translate(24.749375 17.837813)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_14\">\n     <!-- Displacement [m] -->\n     <g transform=\"translate(17.837812 183.865938)rotate(-90)scale(0.14 -0.14)\">\n      <defs>\n       <path id=\"DejaVuSans-44\" d=\"M 1259 4147 \nL 1259 519 \nL 2022 519 \nQ 2988 519 3436 956 \nQ 3884 1394 3884 2338 \nQ 3884 3275 3436 3711 \nQ 2988 4147 2022 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 1925 4666 \nQ 3281 4666 3915 4102 \nQ 4550 3538 4550 2338 \nQ 4550 1131 3912 565 \nQ 3275 0 1925 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-63\" d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \nQ 3544 3216 3844 3400 \nQ 4144 3584 4550 3584 \nQ 5097 3584 5394 3201 \nQ 5691 2819 5691 2113 \nL 5691 0 \nL 5113 0 \nL 5113 2094 \nQ 5113 2597 4934 2840 \nQ 4756 3084 4391 3084 \nQ 3944 3084 3684 2787 \nQ 3425 2491 3425 1978 \nL 3425 0 \nL 2847 0 \nL 2847 2094 \nQ 2847 2600 2669 2842 \nQ 2491 3084 2119 3084 \nQ 1678 3084 1418 2786 \nQ 1159 2488 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1356 3278 1631 3431 \nQ 1906 3584 2284 3584 \nQ 2666 3584 2933 3390 \nQ 3200 3197 3328 2828 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-44\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"77.001953\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"104.785156\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"156.884766\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"220.361328\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"248.144531\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"309.423828\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"364.404297\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"425.927734\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"523.339844\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"584.863281\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"648.242188\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"687.451172\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"719.238281\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"758.251953\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"855.664062\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_25\">\n    <path d=\"M 29.199408 227.784506 \nL 87.971858 223.435706 \nL 116.035675 221.261306 \nL 142.403852 219.086906 \nL 165.956737 216.912506 \nL 185.200476 214.738106 \nL 198.691699 212.563706 \nL 205.707233 210.389306 \nL 206.981739 208.214906 \nL 206.080184 206.040506 \nL 201.390192 203.866106 \nL 194.154016 201.691706 \nL 177.56398 197.342906 \nL 169.862244 195.168506 \nL 163.041226 192.994106 \nL 157.169411 190.819706 \nL 152.194105 188.645306 \nL 148.005937 186.470906 \nL 144.478766 184.296506 \nL 141.491514 182.122106 \nL 138.938191 179.947706 \nL 136.73095 177.773306 \nL 134.799462 175.598906 \nL 133.08864 173.424506 \nL 131.555895 171.250106 \nL 128.901267 166.901306 \nL 126.653991 162.552506 \nL 124.704095 158.203706 \nL 122.981866 153.854906 \nL 120.72708 147.331706 \nL 118.777252 140.808506 \nL 117.064021 134.285306 \nL 115.067636 125.587706 \nL 113.330085 116.890106 \nL 111.796962 108.192506 \nL 110.109379 97.320506 \nL 108.349391 84.274106 \nL 106.816546 71.227706 \nL 105.25348 56.006906 \nL 103.700767 38.611706 \nL 102.186731 19.042106 \nL 100.836663 -1 \nL 100.836663 -1 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_26\">\n    <path d=\"M 29.093527 227.784506 \nL 86.67747 223.435706 \nL 113.578812 221.261306 \nL 138.384178 219.086906 \nL 159.979942 216.912506 \nL 177.042591 214.738106 \nL 188.449474 212.563706 \nL 193.8131 210.389306 \nL 194.442171 208.214906 \nL 193.038241 206.040506 \nL 188.192831 203.866106 \nL 181.344908 201.691706 \nL 166.461553 197.342906 \nL 159.77106 195.168506 \nL 153.926195 192.994106 \nL 148.939804 190.819706 \nL 144.734111 188.645306 \nL 141.19549 186.470906 \nL 138.205901 184.296506 \nL 135.65842 182.122106 \nL 133.463618 179.947706 \nL 131.549132 177.773306 \nL 129.857932 175.598906 \nL 128.346203 173.424506 \nL 125.735087 169.075706 \nL 123.531299 164.726906 \nL 121.624046 160.378106 \nL 119.94337 156.029306 \nL 117.748622 149.506106 \nL 115.855837 142.982906 \nL 114.196522 136.459706 \nL 112.267203 127.762106 \nL 110.591519 119.064506 \nL 108.772928 108.192506 \nL 107.194103 97.320506 \nL 105.545606 84.274106 \nL 103.886156 69.053306 \nL 102.447619 53.832506 \nL 101.014686 36.437306 \nL 99.613932 16.867706 \nL 98.490261 -1 \nL 98.490261 -1 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_27\">\n    <path d=\"M 28.909365 227.784506 \nL 85.616975 223.435706 \nL 111.503333 221.261306 \nL 134.099378 219.086906 \nL 151.393686 216.912506 \nL 161.41982 214.738106 \nL 163.865804 212.563706 \nL 163.214429 210.389306 \nL 158.444809 208.214906 \nL 144.021055 203.866106 \nL 137.616147 201.691706 \nL 132.419917 199.517306 \nL 128.226628 197.342906 \nL 124.793255 195.168506 \nL 122.051352 192.994106 \nL 119.791508 190.819706 \nL 117.882369 188.645306 \nL 116.232795 186.470906 \nL 114.780458 184.296506 \nL 112.311311 179.947706 \nL 110.263066 175.598906 \nL 108.513258 171.250106 \nL 106.993257 166.901306 \nL 105.039041 160.378106 \nL 103.378541 153.854906 \nL 101.960187 147.331706 \nL 99.477679 134.285306 \nL 98.145635 125.587706 \nL 96.70446 114.715706 \nL 95.22708 101.669306 \nL 93.76519 86.448506 \nL 92.352575 69.053306 \nL 91.008968 49.483706 \nL 89.744177 27.739706 \nL 88.462831 1.646906 \nL 88.344705 -1 \nL 88.344705 -1 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_28\">\n    <path d=\"M 28.732457 227.784506 \nL 56.984373 225.610106 \nL 83.407646 223.435706 \nL 106.614077 221.261306 \nL 124.379463 219.086906 \nL 134.440844 216.912506 \nL 136.707127 214.738106 \nL 136.294281 212.563706 \nL 133.610103 210.389306 \nL 125.895146 206.040506 \nL 122.463118 203.866106 \nL 119.59939 201.691706 \nL 117.223599 199.517306 \nL 115.23653 197.342906 \nL 113.564089 195.168506 \nL 110.764309 190.819706 \nL 109.599069 188.645306 \nL 107.574088 184.296506 \nL 105.883649 179.947706 \nL 104.389144 175.598906 \nL 102.491644 169.075706 \nL 100.925051 162.552506 \nL 99.161958 153.854906 \nL 97.667431 145.157306 \nL 96.410718 136.459706 \nL 95.067539 125.587706 \nL 92.716345 103.843706 \nL 91.445549 88.622906 \nL 90.216566 71.227706 \nL 88.916508 49.483706 \nL 87.713613 25.565306 \nL 86.591693 -1 \nL 86.591693 -1 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_29\">\n    <path d=\"M 29.391765 227.784506 \nL 119.597108 221.261306 \nL 177.108872 216.912506 \nL 203.961824 214.738106 \nL 228.650414 212.563706 \nL 249.700722 210.389306 \nL 265.875514 208.214906 \nL 275.780736 206.040506 \nL 278.912309 203.866106 \nL 278.779839 201.691706 \nL 275.339592 199.517306 \nL 268.342279 197.342906 \nL 259.130458 195.168506 \nL 218.185835 186.470906 \nL 209.361005 184.296506 \nL 201.462833 182.122106 \nL 194.487604 179.947706 \nL 188.381617 177.773306 \nL 183.063991 175.598906 \nL 178.442509 173.424506 \nL 174.423942 171.250106 \nL 170.920257 169.075706 \nL 167.851921 166.901306 \nL 165.149274 164.726906 \nL 162.752643 162.552506 \nL 160.611765 160.378106 \nL 158.684817 158.203706 \nL 156.937313 156.029306 \nL 153.872786 151.680506 \nL 151.248983 147.331706 \nL 148.953305 142.982906 \nL 146.910071 138.634106 \nL 145.067317 134.285306 \nL 142.601524 127.762106 \nL 140.42068 121.238906 \nL 138.467439 114.715706 \nL 136.148245 106.018106 \nL 134.092775 97.320506 \nL 132.251372 88.622906 \nL 130.195299 77.750906 \nL 128.36293 66.878906 \nL 126.404091 53.832506 \nL 124.659455 40.786106 \nL 122.844617 25.565306 \nL 121.007241 8.170106 \nL 120.124137 -1 \nL 120.124137 -1 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_30\">\n    <path d=\"M 29.365046 227.784506 \nL 118.851133 221.261306 \nL 174.623016 216.912506 \nL 199.434956 214.738106 \nL 219.783189 212.563706 \nL 232.576341 210.389306 \nL 235.75229 208.214906 \nL 234.521308 206.040506 \nL 225.964903 203.866106 \nL 212.549879 201.691706 \nL 197.85097 199.517306 \nL 184.045183 197.342906 \nL 172.140386 195.168506 \nL 162.371953 192.994106 \nL 154.576794 190.819706 \nL 148.432357 188.645306 \nL 143.591392 186.470906 \nL 139.744309 184.296506 \nL 136.640108 182.122106 \nL 134.086101 179.947706 \nL 131.939663 177.773306 \nL 130.097557 175.598906 \nL 128.485973 173.424506 \nL 127.052362 171.250106 \nL 124.579479 166.901306 \nL 122.486478 162.552506 \nL 120.666776 158.203706 \nL 119.056087 153.854906 \nL 116.943093 147.331706 \nL 115.112959 140.808506 \nL 113.503307 134.285306 \nL 111.626273 125.587706 \nL 109.992005 116.890106 \nL 108.214532 106.018106 \nL 106.668345 95.146106 \nL 105.05119 82.099706 \nL 103.420749 66.878906 \nL 101.818071 49.483706 \nL 100.270183 29.914106 \nL 98.793318 8.170106 \nL 98.232792 -1 \nL 98.232792 -1 \n\" clip-path=\"url(#peae3b3b5c9)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 58.471875 229.958906 \nL 58.471875 12.518906 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 337.471875 229.958906 \nL 337.471875 12.518906 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 58.471875 229.958906 \nL 337.471875 229.958906 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 58.471875 12.518906 \nL 337.471875 12.518906 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 153.899375 89.373906 \nL 331.871875 89.373906 \nQ 333.471875 89.373906 333.471875 87.773906 \nL 333.471875 18.118906 \nQ 333.471875 16.518906 331.871875 16.518906 \nL 153.899375 16.518906 \nQ 152.299375 16.518906 152.299375 18.118906 \nL 152.299375 87.773906 \nQ 152.299375 89.373906 153.899375 89.373906 \nz\n\" style=\"fill: #ffffff; opacity: 0.8; stroke: #cccccc; stroke-linejoin: miter\"/>\n    </g>\n    <g id=\"line2d_31\">\n     <path d=\"M 155.499375 22.997656 \nL 163.499375 22.997656 \nL 171.499375 22.997656 \n\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- Marine-Constant -->\n     <g transform=\"translate(177.899375 25.797656)scale(0.08 -0.08)\">\n      <defs>\n       <path id=\"DejaVuSans-4d\" d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-2d\" d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-43\" d=\"M 4122 4306 \nL 4122 3641 \nQ 3803 3938 3442 4084 \nQ 3081 4231 2675 4231 \nQ 1875 4231 1450 3742 \nQ 1025 3253 1025 2328 \nQ 1025 1406 1450 917 \nQ 1875 428 2675 428 \nQ 3081 428 3442 575 \nQ 3803 722 4122 1019 \nL 4122 359 \nQ 3791 134 3420 21 \nQ 3050 -91 2638 -91 \nQ 1578 -91 968 557 \nQ 359 1206 359 2328 \nQ 359 3453 968 4101 \nQ 1578 4750 2638 4750 \nQ 3056 4750 3426 4639 \nQ 3797 4528 4122 4306 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4d\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"86.279297\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"147.558594\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"188.671875\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"216.455078\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"279.833984\"/>\n      <use xlink:href=\"#DejaVuSans-2d\" x=\"341.357422\"/>\n      <use xlink:href=\"#DejaVuSans-43\" x=\"377.441406\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"447.265625\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"508.447266\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"571.826172\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"623.925781\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"663.134766\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"724.414062\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"787.792969\"/>\n     </g>\n    </g>\n    <g id=\"line2d_32\">\n     <path d=\"M 155.499375 34.740156 \nL 163.499375 34.740156 \nL 171.499375 34.740156 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- Marine-CompressedFilmOvadnevaite -->\n     <g transform=\"translate(177.899375 37.540156)scale(0.08 -0.08)\">\n      <defs>\n       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-46\" d=\"M 628 4666 \nL 3309 4666 \nL 3309 4134 \nL 1259 4134 \nL 1259 2759 \nL 3109 2759 \nL 3109 2228 \nL 1259 2228 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-4f\" d=\"M 2522 4238 \nQ 1834 4238 1429 3725 \nQ 1025 3213 1025 2328 \nQ 1025 1447 1429 934 \nQ 1834 422 2522 422 \nQ 3209 422 3611 934 \nQ 4013 1447 4013 2328 \nQ 4013 3213 3611 3725 \nQ 3209 4238 2522 4238 \nz\nM 2522 4750 \nQ 3503 4750 4090 4092 \nQ 4678 3434 4678 2328 \nQ 4678 1225 4090 567 \nQ 3503 -91 2522 -91 \nQ 1538 -91 948 565 \nQ 359 1222 359 2328 \nQ 359 3434 948 4092 \nQ 1538 4750 2522 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-76\" d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4d\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"86.279297\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"147.558594\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"188.671875\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"216.455078\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"279.833984\"/>\n      <use xlink:href=\"#DejaVuSans-2d\" x=\"341.357422\"/>\n      <use xlink:href=\"#DejaVuSans-43\" x=\"377.441406\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"447.265625\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"508.447266\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"605.859375\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"669.335938\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"708.199219\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"769.722656\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"821.822266\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"873.921875\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"935.445312\"/>\n      <use xlink:href=\"#DejaVuSans-46\" x=\"998.921875\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1049.191406\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"1076.974609\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"1104.757812\"/>\n      <use xlink:href=\"#DejaVuSans-4f\" x=\"1202.169922\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"1280.880859\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1340.060547\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"1401.339844\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1464.816406\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1528.195312\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"1589.71875\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1648.898438\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1710.177734\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1737.960938\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1777.169922\"/>\n     </g>\n    </g>\n    <g id=\"line2d_33\">\n     <path d=\"M 155.499375 46.482656 \nL 163.499375 46.482656 \nL 171.499375 46.482656 \n\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- Boreal-Constant -->\n     <g transform=\"translate(177.899375 49.282656)scale(0.08 -0.08)\">\n      <defs>\n       <path id=\"DejaVuSans-42\" d=\"M 1259 2228 \nL 1259 519 \nL 2272 519 \nQ 2781 519 3026 730 \nQ 3272 941 3272 1375 \nQ 3272 1813 3026 2020 \nQ 2781 2228 2272 2228 \nL 1259 2228 \nz\nM 1259 4147 \nL 1259 2741 \nL 2194 2741 \nQ 2656 2741 2882 2914 \nQ 3109 3088 3109 3444 \nQ 3109 3797 2882 3972 \nQ 2656 4147 2194 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2241 4666 \nQ 2963 4666 3353 4366 \nQ 3744 4066 3744 3513 \nQ 3744 3084 3544 2831 \nQ 3344 2578 2956 2516 \nQ 3422 2416 3680 2098 \nQ 3938 1781 3938 1306 \nQ 3938 681 3513 340 \nQ 3088 0 2303 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-42\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"68.603516\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"129.785156\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"168.648438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"230.171875\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"291.451172\"/>\n      <use xlink:href=\"#DejaVuSans-2d\" x=\"319.234375\"/>\n      <use xlink:href=\"#DejaVuSans-43\" x=\"355.318359\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"425.142578\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"486.324219\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"549.703125\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"601.802734\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"641.011719\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"702.291016\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"765.669922\"/>\n     </g>\n    </g>\n    <g id=\"line2d_34\">\n     <path d=\"M 155.499375 58.225156 \nL 163.499375 58.225156 \nL 171.499375 58.225156 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_18\">\n     <!-- Boreal-CompressedFilmOvadnevaite -->\n     <g transform=\"translate(177.899375 61.025156)scale(0.08 -0.08)\">\n      <use xlink:href=\"#DejaVuSans-42\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"68.603516\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"129.785156\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"168.648438\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"230.171875\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"291.451172\"/>\n      <use xlink:href=\"#DejaVuSans-2d\" x=\"319.234375\"/>\n      <use xlink:href=\"#DejaVuSans-43\" x=\"355.318359\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"425.142578\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"486.324219\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"583.736328\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"647.212891\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"686.076172\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"747.599609\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"799.699219\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"851.798828\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"913.322266\"/>\n      <use xlink:href=\"#DejaVuSans-46\" x=\"976.798828\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1027.068359\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"1054.851562\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"1082.634766\"/>\n      <use xlink:href=\"#DejaVuSans-4f\" x=\"1180.046875\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"1258.757812\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1317.9375\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"1379.216797\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1442.693359\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1506.072266\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"1567.595703\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1626.775391\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1688.054688\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1715.837891\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1755.046875\"/>\n     </g>\n    </g>\n    <g id=\"line2d_35\">\n     <path d=\"M 155.499375 69.967656 \nL 163.499375 69.967656 \nL 171.499375 69.967656 \n\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n    </g>\n    <g id=\"text_19\">\n     <!-- Nascent-Constant -->\n     <g transform=\"translate(177.899375 72.767656)scale(0.08 -0.08)\">\n      <defs>\n       <path id=\"DejaVuSans-4e\" d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"74.804688\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"136.083984\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"188.183594\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"243.164062\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"304.6875\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"368.066406\"/>\n      <use xlink:href=\"#DejaVuSans-2d\" x=\"407.275391\"/>\n      <use xlink:href=\"#DejaVuSans-43\" x=\"443.359375\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"513.183594\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"574.365234\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"637.744141\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"689.84375\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"729.052734\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"790.332031\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"853.710938\"/>\n     </g>\n    </g>\n    <g id=\"line2d_36\">\n     <path d=\"M 155.499375 81.710156 \nL 163.499375 81.710156 \nL 171.499375 81.710156 \n\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n    </g>\n    <g id=\"text_20\">\n     <!-- Nascent-CompressedFilmOvadnevaite -->\n     <g transform=\"translate(177.899375 84.510156)scale(0.08 -0.08)\">\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"74.804688\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"136.083984\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"188.183594\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"243.164062\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"304.6875\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"368.066406\"/>\n      <use xlink:href=\"#DejaVuSans-2d\" x=\"407.275391\"/>\n      <use xlink:href=\"#DejaVuSans-43\" x=\"443.359375\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"513.183594\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"574.365234\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"671.777344\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"735.253906\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"774.117188\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"835.640625\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"887.740234\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"939.839844\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"1001.363281\"/>\n      <use xlink:href=\"#DejaVuSans-46\" x=\"1064.839844\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1115.109375\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"1142.892578\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"1170.675781\"/>\n      <use xlink:href=\"#DejaVuSans-4f\" x=\"1268.087891\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"1346.798828\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1405.978516\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"1467.257812\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1530.734375\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1594.113281\"/>\n      <use xlink:href=\"#DejaVuSans-76\" x=\"1655.636719\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1714.816406\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1776.095703\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1803.878906\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1843.087891\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_2\">\n   <g id=\"patch_8\">\n    <path d=\"M 393.271875 229.958906 \nL 672.271875 229.958906 \nL 672.271875 12.518906 \nL 393.271875 12.518906 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_3\">\n    <g id=\"xtick_7\">\n     <g id=\"line2d_37\">\n      <path d=\"M 405.953693 229.958906 \nL 405.953693 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_38\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"405.953693\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_21\">\n      <!-- 0 -->\n      <g transform=\"translate(401.499943 247.596719)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_39\">\n      <path d=\"M 489.372987 229.958906 \nL 489.372987 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_40\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"489.372987\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_22\">\n      <!-- 200 -->\n      <g transform=\"translate(476.011737 247.596719)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_41\">\n      <path d=\"M 572.792281 229.958906 \nL 572.792281 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_42\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"572.792281\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_23\">\n      <!-- 400 -->\n      <g transform=\"translate(559.431031 247.596719)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_43\">\n      <path d=\"M 656.211575 229.958906 \nL 656.211575 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_44\">\n      <g>\n       <use xlink:href=\"#m470fde96d5\" x=\"656.211575\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_24\">\n      <!-- 600 -->\n      <g transform=\"translate(642.850325 247.596719)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_25\">\n     <!-- Cloud droplet number conc. [cm$^{-3}$] -->\n     <g transform=\"translate(409.221875 267.248281)scale(0.14 -0.14)\">\n      <defs>\n       <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\nM 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2969 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-43\" transform=\"translate(0 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" transform=\"translate(69.824219 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" transform=\"translate(97.607422 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-75\" transform=\"translate(158.789062 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-64\" transform=\"translate(222.167969 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(285.644531 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-64\" transform=\"translate(317.431641 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-72\" transform=\"translate(380.908203 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" transform=\"translate(422.021484 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-70\" transform=\"translate(483.203125 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" transform=\"translate(546.679688 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(574.462891 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(635.986328 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(675.195312 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(706.982422 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-75\" transform=\"translate(770.361328 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(833.740234 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-62\" transform=\"translate(931.152344 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(994.628906 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-72\" transform=\"translate(1056.152344 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(1097.265625 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-63\" transform=\"translate(1129.052734 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" transform=\"translate(1184.033203 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(1245.214844 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-63\" transform=\"translate(1308.59375 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(1363.574219 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(1395.361328 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" transform=\"translate(1427.148438 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-63\" transform=\"translate(1466.162109 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(1521.142578 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(1619.511719 39.046875)scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(1678.164062 39.046875)scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" transform=\"translate(1725.43457 0.765625)\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_4\">\n    <g id=\"ytick_7\">\n     <g id=\"line2d_45\">\n      <path d=\"M 393.271875 229.958906 \nL 672.271875 229.958906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_46\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"393.271875\" y=\"229.958906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_47\">\n      <path d=\"M 393.271875 186.470906 \nL 672.271875 186.470906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_48\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"393.271875\" y=\"186.470906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_49\">\n      <path d=\"M 393.271875 142.982906 \nL 672.271875 142.982906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_50\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"393.271875\" y=\"142.982906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_10\">\n     <g id=\"line2d_51\">\n      <path d=\"M 393.271875 99.494906 \nL 672.271875 99.494906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_52\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"393.271875\" y=\"99.494906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_11\">\n     <g id=\"line2d_53\">\n      <path d=\"M 393.271875 56.006906 \nL 672.271875 56.006906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_54\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"393.271875\" y=\"56.006906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_12\">\n     <g id=\"line2d_55\">\n      <path d=\"M 393.271875 12.518906 \nL 672.271875 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_56\">\n      <g>\n       <use xlink:href=\"#maba2731892\" x=\"393.271875\" y=\"12.518906\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_26\">\n     <!-- Displacement [m] -->\n     <g transform=\"translate(386.360312 183.865938)rotate(-90)scale(0.14 -0.14)\">\n      <use xlink:href=\"#DejaVuSans-44\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"77.001953\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"104.785156\"/>\n      <use xlink:href=\"#DejaVuSans-70\" x=\"156.884766\"/>\n      <use xlink:href=\"#DejaVuSans-6c\" x=\"220.361328\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"248.144531\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"309.423828\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"364.404297\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"425.927734\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"523.339844\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"584.863281\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"648.242188\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"687.451172\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"719.238281\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"758.251953\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"855.664062\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_57\">\n    <path d=\"M 405.953693 229.958906 \nL 405.953693 219.086906 \nL 437.668953 216.912506 \nL 450.29555 214.738106 \nL 457.245537 212.563706 \nL 461.924636 210.389306 \nL 463.621182 208.214906 \nL 464.182726 206.040506 \nL 464.170839 201.691706 \nL 464.731887 199.517306 \nL 464.719667 195.168506 \nL 465.280486 192.994106 \nL 465.244037 179.947706 \nL 465.804518 177.773306 \nL 465.611556 108.192506 \nL 466.170165 106.018106 \nL 465.872366 -1 \nL 465.872366 -1 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_58\">\n    <path d=\"M 467.467081 229.958906 \nL 467.467081 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #1e90ff; stroke-opacity: 0.5; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_59\">\n    <path d=\"M 405.953693 229.958906 \nL 405.953693 221.261306 \nL 431.005823 219.086906 \nL 452.437029 216.912506 \nL 463.293531 214.738106 \nL 470.031023 212.563706 \nL 474.141477 210.389306 \nL 475.269471 208.214906 \nL 474.906475 206.040506 \nL 473.05297 203.866106 \nL 471.766898 201.691706 \nL 472.32717 199.517306 \nL 472.313421 195.168506 \nL 472.873478 192.994106 \nL 472.846076 184.296506 \nL 473.405888 182.122106 \nL 473.33767 160.378106 \nL 473.896856 158.203706 \nL 473.569035 53.832506 \nL 474.125424 51.658106 \nL 473.959333 -1 \nL 473.959333 -1 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_60\">\n    <path d=\"M 476.622348 229.958906 \nL 476.622348 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-opacity: 0.5; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_61\">\n    <path d=\"M 405.953693 229.958906 \nL 405.953693 219.086906 \nL 500.154696 216.912506 \nL 551.715653 214.738106 \nL 574.191472 212.563706 \nL 578.630132 208.214906 \nL 578.576658 201.691706 \nL 573.964348 199.517306 \nL 573.759945 173.424506 \nL 575.975242 171.250106 \nL 575.786797 147.331706 \nL 573.540155 145.157306 \nL 572.40955 -1 \nL 572.40955 -1 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_62\">\n    <path d=\"M 591.144526 229.958906 \nL 591.144526 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #9acd32; stroke-opacity: 0.5; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_63\">\n    <path d=\"M 405.953693 229.958906 \nL 405.953693 221.261306 \nL 477.791442 219.086906 \nL 583.66738 216.912506 \nL 615.213413 214.738106 \nL 628.611987 212.563706 \nL 633.062176 210.389306 \nL 639.699549 203.866106 \nL 639.675737 201.691706 \nL 641.887137 199.517306 \nL 634.987849 192.994106 \nL 634.964688 190.819706 \nL 630.326711 186.470906 \nL 630.304058 184.296506 \nL 628.048062 182.122106 \nL 627.980859 175.598906 \nL 621.137096 173.424506 \nL 623.347628 171.250106 \nL 623.194332 156.029306 \nL 620.942023 153.854906 \nL 620.531083 112.541306 \nL 618.283538 110.366906 \nL 613.687079 108.192506 \nL 615.891652 106.018106 \nL 614.853803 -1 \nL 614.853803 -1 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_64\">\n    <path d=\"M 659.590057 229.958906 \nL 659.590057 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-opacity: 0.5; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_65\">\n    <path d=\"M 405.953693 229.958906 \nL 405.953693 219.086906 \nL 412.540342 216.912506 \nL 414.652271 214.738106 \nL 424.053409 212.563706 \nL 424.797244 210.389306 \nL 433.450347 208.214906 \nL 433.820452 206.040506 \nL 434.066211 203.866106 \nL 434.187649 201.691706 \nL 434.184809 199.517306 \nL 434.306087 197.342906 \nL 434.303144 195.168506 \nL 434.424325 192.994106 \nL 434.41835 188.645306 \nL 434.539474 186.470906 \nL 434.515872 169.075706 \nL 434.636951 166.901306 \nL 434.501158 64.704506 \nL 434.621673 62.530106 \nL 434.537393 -1 \nL 434.537393 -1 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_66\">\n    <path d=\"M 435.025317 229.958906 \nL 435.025317 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke: #ff4500; stroke-opacity: 0.5; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_67\">\n    <path d=\"M 405.953693 229.958906 \nL 405.953693 221.261306 \nL 419.211005 219.086906 \nL 455.94976 214.738106 \nL 490.687281 210.389306 \nL 491.416346 206.040506 \nL 475.087974 201.691706 \nL 475.080627 199.517306 \nL 475.314243 195.168506 \nL 475.306945 192.994106 \nL 475.423836 190.819706 \nL 475.402375 184.296506 \nL 475.519364 182.122106 \nL 475.491124 173.424506 \nL 475.608101 171.250106 \nL 475.551844 153.854906 \nL 475.668724 151.680506 \nL 475.556377 116.890106 \nL 475.673053 114.715706 \nL 475.420697 36.437306 \nL 475.53693 34.262906 \nL 475.423354 -1 \nL 475.423354 -1 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_68\">\n    <path d=\"M 493.418823 229.958906 \nL 493.418823 12.518906 \n\" clip-path=\"url(#pfe42a4a91e)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-opacity: 0.5; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"patch_9\">\n    <path d=\"M 393.271875 229.958906 \nL 393.271875 12.518906 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_10\">\n    <path d=\"M 672.271875 229.958906 \nL 672.271875 12.518906 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_11\">\n    <path d=\"M 393.271875 229.958906 \nL 672.271875 229.958906 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_12\">\n    <path d=\"M 393.271875 12.518906 \nL 672.271875 12.518906 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"peae3b3b5c9\">\n   <rect x=\"58.471875\" y=\"12.518906\" width=\"279\" height=\"217.44\"/>\n  </clipPath>\n  <clipPath id=\"pfe42a4a91e\">\n   <rect x=\"393.271875\" y=\"12.518906\" width=\"279\" height=\"217.44\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "text/plain": [
+       "<Figure size 792x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e1729c1f6a5146f7a4cc8edd03643252",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value=\"<a href='./fig_2ab.pdf' target='_blank'>./fig_2ab.pdf</a><br>\")"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "figsize = (11, 4)\n",
     "pyplot.rc('font', size=14)\n",
     "fig, axs = pyplot.subplots(1, 2, figsize=figsize, sharey=True)\n",
     "\n",
-    "if consts[\"scipy_ode_solver\"]:\n",
-    "    vlist = ('RH', 'n_c_cm3')\n",
-    "else:\n",
-    "    vlist = ('S_max', 'n_c_cm3')\n",
-    "\n",
+    "vlist = ('S_max', 'CDNC_cm3')\n",
     "for idx, var in enumerate(vlist):\n",
     "    for key, out_item in output.items():\n",
     "        Y = np.asarray(out_item['z'])\n",
@@ -137,7 +152,7 @@
     "                      color=out_item['color'],\n",
     "                      linestyle='-' if key.endswith('-Constant') else '--'\n",
     "                     )\n",
-    "        if var == 'n_c_cm3':\n",
+    "        if var == 'CDNC_cm3':\n",
     "            axs[idx].axvline(out_item[\"Activated Fraction\"]*out_item[\"Na_tot\"]*1e-6,\n",
     "                             color=out_item['color'],\n",
     "                             alpha=0.5,\n",
@@ -149,8 +164,8 @@
     "    if var in ('RH', 'S_max'):\n",
     "        axs[idx].set_xlabel('Supersaturation [%]')\n",
     "        axs[idx].set_xlim(0, 0.5)\n",
-    "    elif var == 'n_c_cm3':\n",
-    "        axs[idx].set_xlabel('Cloud droplet concentration [cm$^{-3}$]')\n",
+    "    elif var == 'CDNC_cm3':\n",
+    "        axs[idx].set_xlabel('Cloud droplet number conc. [cm$^{-3}$]')\n",
     "    else:\n",
     "        assert False\n",
     "    \n",
@@ -162,14 +177,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T14:07:59.522989Z",
      "start_time": "2023-12-29T14:07:59.296920Z"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"649.637062pt\" height=\"287.660625pt\" viewBox=\"0 0 649.637062 287.660625\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n <metadata>\n  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2024-01-29T17:03:54.519575</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.5.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 287.660625 \nL 649.637062 287.660625 \nL 649.637062 0 \nL 0 0 \nL 0 287.660625 \nz\n\" style=\"fill: none\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 75.529563 242.361875 \nL 633.529562 242.361875 \nL 633.529562 24.921875 \nL 75.529563 24.921875 \nz\n\" style=\"fill: #ffffff\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path d=\"M 75.529562 242.361875 \nL 75.529562 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path id=\"me302a18287\" d=\"M 0 0 \nL 0 3.5 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"75.529562\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 4 -->\n      <g transform=\"translate(71.075812 259.999687)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path d=\"M 188.867182 242.361875 \nL 188.867182 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"188.867182\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 5 -->\n      <g transform=\"translate(184.413432 259.999687)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-35\" d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path d=\"M 281.47076 242.361875 \nL 281.47076 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"281.47076\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 6 -->\n      <g transform=\"translate(277.01701 259.999687)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path d=\"M 359.76597 242.361875 \nL 359.76597 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"359.76597\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 7 -->\n      <g transform=\"translate(355.31222 259.999687)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-37\" d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-37\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path d=\"M 427.588365 242.361875 \nL 427.588365 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"427.588365\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 8 -->\n      <g transform=\"translate(423.134615 259.999687)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-38\" d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path d=\"M 487.411958 242.361875 \nL 487.411958 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"487.411958\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 9 -->\n      <g transform=\"translate(482.958208 259.999687)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-39\" d=\"M 703 97 \nL 703 672 \nQ 941 559 1184 500 \nQ 1428 441 1663 441 \nQ 2288 441 2617 861 \nQ 2947 1281 2994 2138 \nQ 2813 1869 2534 1725 \nQ 2256 1581 1919 1581 \nQ 1219 1581 811 2004 \nQ 403 2428 403 3163 \nQ 403 3881 828 4315 \nQ 1253 4750 1959 4750 \nQ 2769 4750 3195 4129 \nQ 3622 3509 3622 2328 \nQ 3622 1225 3098 567 \nQ 2575 -91 1691 -91 \nQ 1453 -91 1209 -44 \nQ 966 3 703 97 \nz\nM 1959 2075 \nQ 2384 2075 2632 2365 \nQ 2881 2656 2881 3163 \nQ 2881 3666 2632 3958 \nQ 2384 4250 1959 4250 \nQ 1534 4250 1286 3958 \nQ 1038 3666 1038 3163 \nQ 1038 2656 1286 2365 \nQ 1534 2075 1959 2075 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-39\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_13\">\n      <path d=\"M 540.925985 242.361875 \nL 540.925985 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_14\">\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"540.925985\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 10 -->\n      <g transform=\"translate(532.018485 259.999687)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-31\" d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" transform=\"scale(0.015625)\"/>\n        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_15\">\n      <path d=\"M 589.33531 242.361875 \nL 589.33531 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_16\">\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"589.33531\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 11 -->\n      <g transform=\"translate(580.42781 259.999687)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use xlink:href=\"#DejaVuSans-31\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_17\">\n      <path d=\"M 633.529562 242.361875 \nL 633.529562 24.921875 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <g>\n       <use xlink:href=\"#me302a18287\" x=\"633.529562\" y=\"242.361875\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 12 -->\n      <g transform=\"translate(624.622062 259.999687)scale(0.14 -0.14)\">\n       <defs>\n        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_10\">\n     <!-- Hydrometeor radius [μm] -->\n     <g transform=\"translate(265.514719 277.549062)scale(0.14 -0.14)\">\n      <defs>\n       <path id=\"DejaVuSans-48\" d=\"M 628 4666 \nL 1259 4666 \nL 1259 2753 \nL 3553 2753 \nL 3553 4666 \nL 4184 4666 \nL 4184 0 \nL 3553 0 \nL 3553 2222 \nL 1259 2222 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-79\" d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \nQ 3544 3216 3844 3400 \nQ 4144 3584 4550 3584 \nQ 5097 3584 5394 3201 \nQ 5691 2819 5691 2113 \nL 5691 0 \nL 5113 0 \nL 5113 2094 \nQ 5113 2597 4934 2840 \nQ 4756 3084 4391 3084 \nQ 3944 3084 3684 2787 \nQ 3425 2491 3425 1978 \nL 3425 0 \nL 2847 0 \nL 2847 2094 \nQ 2847 2600 2669 2842 \nQ 2491 3084 2119 3084 \nQ 1678 3084 1418 2786 \nQ 1159 2488 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1356 3278 1631 3431 \nQ 1906 3584 2284 3584 \nQ 2666 3584 2933 3390 \nQ 3200 3197 3328 2828 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5b\" d=\"M 550 4863 \nL 1875 4863 \nL 1875 4416 \nL 1125 4416 \nL 1125 -397 \nL 1875 -397 \nL 1875 -844 \nL 550 -844 \nL 550 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-3bc\" d=\"M 544 -1331 \nL 544 3500 \nL 1119 3500 \nL 1119 1325 \nQ 1119 872 1334 640 \nQ 1550 409 1972 409 \nQ 2434 409 2667 671 \nQ 2900 934 2900 1459 \nL 2900 3500 \nL 3475 3500 \nL 3475 806 \nQ 3475 619 3529 530 \nQ 3584 441 3700 441 \nQ 3728 441 3778 458 \nQ 3828 475 3916 513 \nL 3916 50 \nQ 3788 -22 3673 -56 \nQ 3559 -91 3450 -91 \nQ 3234 -91 3106 31 \nQ 2978 153 2931 403 \nQ 2775 156 2548 32 \nQ 2322 -91 2016 -91 \nQ 1697 -91 1473 31 \nQ 1250 153 1119 397 \nL 1119 -1331 \nL 544 -1331 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-5d\" d=\"M 1947 4863 \nL 1947 -844 \nL 622 -844 \nL 622 -397 \nL 1369 -397 \nL 1369 4416 \nL 622 4416 \nL 622 4863 \nL 1947 4863 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-48\"/>\n      <use xlink:href=\"#DejaVuSans-79\" x=\"75.195312\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"134.375\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"197.851562\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"236.714844\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"297.896484\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"395.308594\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"456.832031\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"496.041016\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"557.564453\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"618.746094\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"659.859375\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"691.646484\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"732.759766\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"794.039062\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"857.515625\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"885.298828\"/>\n      <use xlink:href=\"#DejaVuSans-73\" x=\"948.677734\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"1000.777344\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" x=\"1032.564453\"/>\n      <use xlink:href=\"#DejaVuSans-3bc\" x=\"1071.578125\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"1135.201172\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" x=\"1232.613281\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_19\">\n      <path d=\"M 75.529563 232.478239 \nL 633.529562 232.478239 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <defs>\n       <path id=\"m899d71cfb0\" d=\"M 0 0 \nL -3.5 0 \n\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </defs>\n      <g>\n       <use xlink:href=\"#m899d71cfb0\" x=\"75.529563\" y=\"232.478239\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(59.622063 237.797145)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_21\">\n      <path d=\"M 75.529563 175.704503 \nL 633.529562 175.704503 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use xlink:href=\"#m899d71cfb0\" x=\"75.529563\" y=\"175.704503\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 200 -->\n      <g transform=\"translate(41.807063 181.023409)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_23\">\n      <path d=\"M 75.529563 118.930767 \nL 633.529562 118.930767 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use xlink:href=\"#m899d71cfb0\" x=\"75.529563\" y=\"118.930767\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 400 -->\n      <g transform=\"translate(41.807063 124.249674)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_25\">\n      <path d=\"M 75.529563 62.157032 \nL 633.529562 62.157032 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n     </g>\n     <g id=\"line2d_26\">\n      <g>\n       <use xlink:href=\"#m899d71cfb0\" x=\"75.529563\" y=\"62.157032\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 600 -->\n      <g transform=\"translate(41.807063 67.475938)scale(0.14 -0.14)\">\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_15\">\n     <!-- Hydrometeor number concentration -->\n     <g transform=\"translate(17.837813 260.08375)rotate(-90)scale(0.14 -0.14)\">\n      <defs>\n       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\nM 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2969 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-63\" d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-48\"/>\n      <use xlink:href=\"#DejaVuSans-79\" x=\"75.195312\"/>\n      <use xlink:href=\"#DejaVuSans-64\" x=\"134.375\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"197.851562\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"236.714844\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"297.896484\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"395.308594\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"456.832031\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"496.041016\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"557.564453\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"618.746094\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"659.859375\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"691.646484\"/>\n      <use xlink:href=\"#DejaVuSans-75\" x=\"755.025391\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" x=\"818.404297\"/>\n      <use xlink:href=\"#DejaVuSans-62\" x=\"915.816406\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"979.292969\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"1040.816406\"/>\n      <use xlink:href=\"#DejaVuSans-20\" x=\"1081.929688\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"1113.716797\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"1168.697266\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1229.878906\"/>\n      <use xlink:href=\"#DejaVuSans-63\" x=\"1293.257812\"/>\n      <use xlink:href=\"#DejaVuSans-65\" x=\"1348.238281\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1409.761719\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1473.140625\"/>\n      <use xlink:href=\"#DejaVuSans-72\" x=\"1512.349609\"/>\n      <use xlink:href=\"#DejaVuSans-61\" x=\"1553.462891\"/>\n      <use xlink:href=\"#DejaVuSans-74\" x=\"1614.742188\"/>\n      <use xlink:href=\"#DejaVuSans-69\" x=\"1653.951172\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" x=\"1681.734375\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" x=\"1742.916016\"/>\n     </g>\n     <!--  size distribution [cm$^{-3}$] -->\n     <g transform=\"translate(34.8955 217.431875)rotate(-90)scale(0.14 -0.14)\">\n      <defs>\n       <path id=\"DejaVuSans-7a\" d=\"M 353 3500 \nL 3084 3500 \nL 3084 2975 \nL 922 459 \nL 3084 459 \nL 3084 0 \nL 275 0 \nL 275 525 \nL 2438 3041 \nL 353 3041 \nL 353 3500 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-2212\" d=\"M 678 2272 \nL 4684 2272 \nL 4684 1741 \nL 678 1741 \nL 678 2272 \nz\n\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(0 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-73\" transform=\"translate(31.787109 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(83.886719 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-7a\" transform=\"translate(111.669922 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-65\" transform=\"translate(164.160156 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(225.683594 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-64\" transform=\"translate(257.470703 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(320.947266 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-73\" transform=\"translate(348.730469 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(400.830078 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-72\" transform=\"translate(440.039062 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(481.152344 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-62\" transform=\"translate(508.935547 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-75\" transform=\"translate(572.412109 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-74\" transform=\"translate(635.791016 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-69\" transform=\"translate(675 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6f\" transform=\"translate(702.783203 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6e\" transform=\"translate(763.964844 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(827.34375 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-5b\" transform=\"translate(859.130859 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-63\" transform=\"translate(898.144531 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-6d\" transform=\"translate(953.125 0.765625)\"/>\n      <use xlink:href=\"#DejaVuSans-2212\" transform=\"translate(1051.494141 39.046875)scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(1110.146484 39.046875)scale(0.7)\"/>\n      <use xlink:href=\"#DejaVuSans-5d\" transform=\"translate(1157.416992 0.765625)\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_27\">\n    <path d=\"M 75.529563 232.478239 \nL 398.123313 232.478239 \nL 398.123313 228.601296 \nL 402.482687 228.601296 \nL 402.482687 226.219497 \nL 406.842063 226.219497 \nL 406.842063 219.960754 \nL 411.201438 219.960754 \nL 411.201438 205.061471 \nL 415.560812 205.061471 \nL 415.560812 194.039131 \nL 419.920188 194.039131 \nL 419.920188 175.871393 \nL 424.279563 175.871393 \nL 424.279563 150.558259 \nL 428.638938 150.558259 \nL 428.638938 119.59487 \nL 432.998313 119.59487 \nL 432.998313 98.767168 \nL 437.357687 98.767168 \nL 437.357687 81.207919 \nL 441.717063 81.207919 \nL 441.717063 81.816408 \nL 446.076438 81.816408 \nL 446.076438 92.838748 \nL 450.435812 92.838748 \nL 450.435812 122.915481 \nL 454.795188 122.915481 \nL 454.795188 151.49707 \nL 459.154563 151.49707 \nL 459.154563 175.315061 \nL 463.513938 175.315061 \nL 463.513938 194.369453 \nL 467.873313 194.369453 \nL 467.873313 211.042047 \nL 472.232687 211.042047 \nL 472.232687 215.805645 \nL 476.592063 215.805645 \nL 476.592063 222.951042 \nL 480.951438 222.951042 \nL 480.951438 227.71464 \nL 494.029563 227.71464 \nL 494.029563 230.09644 \nL 507.107687 230.09644 \nL 507.107687 232.478239 \nL 629.170187 232.478239 \nL 629.170187 232.478239 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #1e90ff; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_28\">\n    <path d=\"M 75.529563 232.478239 \nL 367.607687 232.478239 \nL 367.607687 228.601293 \nL 376.326438 228.601293 \nL 376.326438 222.342546 \nL 380.685812 222.342546 \nL 380.685812 212.206853 \nL 385.045187 212.206853 \nL 385.045187 202.071161 \nL 389.404563 202.071161 \nL 389.404563 191.048812 \nL 393.763938 191.048812 \nL 393.763938 176.149518 \nL 398.123313 176.149518 \nL 398.123313 154.104821 \nL 402.482687 154.104821 \nL 402.482687 138.927361 \nL 406.842063 138.927361 \nL 406.842063 118.986298 \nL 411.201438 118.986298 \nL 411.201438 101.427036 \nL 415.560812 101.427036 \nL 415.560812 87.744721 \nL 419.920188 87.744721 \nL 419.920188 94.611957 \nL 424.279563 94.611957 \nL 424.279563 103.252504 \nL 428.638938 103.252504 \nL 428.638938 121.420255 \nL 432.998313 121.420255 \nL 432.998313 144.351608 \nL 437.357687 144.351608 \nL 437.357687 165.787815 \nL 441.717063 165.787815 \nL 441.717063 182.460421 \nL 446.076438 182.460421 \nL 446.076438 196.751226 \nL 450.435812 196.751226 \nL 450.435812 206.278429 \nL 454.795188 206.278429 \nL 454.795188 213.423832 \nL 459.154563 213.423832 \nL 459.154563 220.569234 \nL 463.513938 220.569234 \nL 463.513938 222.951035 \nL 467.873313 222.951035 \nL 467.873313 225.332836 \nL 472.232687 225.332836 \nL 472.232687 227.714637 \nL 476.592063 227.714637 \nL 476.592063 230.096438 \nL 480.951438 230.096438 \nL 480.951438 227.714637 \nL 485.310812 227.714637 \nL 485.310812 230.096438 \nL 502.748313 230.096438 \nL 502.748313 232.478239 \nL 629.170187 232.478239 \nL 629.170187 232.478239 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #1e90ff; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_29\">\n    <path d=\"M 75.529563 232.478239 \nL 136.560812 232.478239 \nL 136.560812 223.090088 \nL 158.357687 223.090088 \nL 158.357687 232.478239 \nL 167.076438 232.478239 \nL 167.076438 223.090088 \nL 184.513938 223.090088 \nL 184.513938 213.701937 \nL 188.873313 213.701937 \nL 188.873313 223.090088 \nL 193.232687 223.090088 \nL 193.232687 213.701937 \nL 201.951438 213.701937 \nL 201.951438 185.015922 \nL 210.670187 185.015922 \nL 210.670187 175.627771 \nL 219.388938 175.627771 \nL 219.388938 156.85147 \nL 223.748313 156.85147 \nL 223.748313 176.149335 \nL 228.107687 176.149335 \nL 228.107687 166.761184 \nL 232.467063 166.761184 \nL 232.467063 138.075168 \nL 236.826438 138.075168 \nL 236.826438 119.298867 \nL 241.185812 119.298867 \nL 241.185812 109.910716 \nL 245.545187 109.910716 \nL 245.545187 91.134415 \nL 249.904563 91.134415 \nL 249.904563 81.746265 \nL 254.263938 81.746265 \nL 254.263938 82.267828 \nL 258.623313 82.267828 \nL 258.623313 53.581813 \nL 262.982687 53.581813 \nL 262.982687 44.193662 \nL 267.342063 44.193662 \nL 267.342063 34.805511 \nL 280.420187 34.805511 \nL 280.420187 63.491527 \nL 284.779563 63.491527 \nL 284.779563 72.879678 \nL 289.138938 72.879678 \nL 289.138938 91.655979 \nL 293.498313 91.655979 \nL 293.498313 101.04413 \nL 297.857687 101.04413 \nL 297.857687 119.820431 \nL 302.217063 119.820431 \nL 302.217063 138.596732 \nL 306.576438 138.596732 \nL 306.576438 147.984883 \nL 310.935812 147.984883 \nL 310.935812 166.761184 \nL 315.295187 166.761184 \nL 315.295187 176.149335 \nL 319.654563 176.149335 \nL 319.654563 185.537485 \nL 324.013938 185.537485 \nL 324.013938 194.925636 \nL 328.373313 194.925636 \nL 328.373313 204.313787 \nL 337.092063 204.313787 \nL 337.092063 213.701937 \nL 341.451438 213.701937 \nL 341.451438 223.090088 \nL 371.967063 223.090088 \nL 371.967063 232.478239 \nL 629.170187 232.478239 \nL 629.170187 232.478239 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #9acd32; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_30\">\n    <path d=\"M 75.529563 223.090084 \nL 106.045187 223.090084 \nL 106.045187 194.404055 \nL 114.763938 194.404055 \nL 114.763938 203.79221 \nL 119.123313 203.79221 \nL 119.123313 194.404055 \nL 127.842063 194.404055 \nL 127.842063 213.701929 \nL 132.201438 213.701929 \nL 132.201438 204.313774 \nL 140.920187 204.313774 \nL 140.920187 185.0159 \nL 145.279563 185.0159 \nL 145.279563 175.627745 \nL 158.357687 175.627745 \nL 158.357687 166.23959 \nL 162.717063 166.23959 \nL 162.717063 185.537464 \nL 171.435812 185.537464 \nL 171.435812 166.23959 \nL 175.795187 166.23959 \nL 175.795187 156.851435 \nL 184.513938 156.851435 \nL 184.513938 147.46328 \nL 188.873313 147.46328 \nL 188.873313 138.075125 \nL 193.232687 138.075125 \nL 193.232687 128.68697 \nL 201.951438 128.68697 \nL 201.951438 119.298815 \nL 210.670187 119.298815 \nL 210.670187 109.91066 \nL 215.029563 109.91066 \nL 215.029563 129.208534 \nL 219.388938 129.208534 \nL 219.388938 119.820379 \nL 228.107687 119.820379 \nL 228.107687 91.13435 \nL 232.467063 91.13435 \nL 232.467063 100.522505 \nL 236.826438 100.522505 \nL 236.826438 91.13435 \nL 241.185812 91.13435 \nL 241.185812 100.522505 \nL 245.545187 100.522505 \nL 245.545187 91.13435 \nL 249.904563 91.13435 \nL 249.904563 119.820379 \nL 258.623313 119.820379 \nL 258.623313 129.208534 \nL 267.342063 129.208534 \nL 267.342063 138.596689 \nL 276.060812 138.596689 \nL 276.060812 147.984844 \nL 284.779563 147.984844 \nL 284.779563 157.372999 \nL 293.498313 157.372999 \nL 293.498313 166.761154 \nL 302.217063 166.761154 \nL 302.217063 176.149309 \nL 306.576438 176.149309 \nL 306.576438 185.537464 \nL 310.935812 185.537464 \nL 310.935812 194.925619 \nL 324.013938 194.925619 \nL 324.013938 204.313774 \nL 337.092063 204.313774 \nL 337.092063 213.701929 \nL 354.529563 213.701929 \nL 354.529563 223.090084 \nL 385.045187 223.090084 \nL 385.045187 232.478239 \nL 629.170187 232.478239 \nL 629.170187 232.478239 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #9acd32; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"line2d_31\">\n    <path d=\"M 75.529563 232.478239 \nL 541.982687 232.478239 \nL 541.982687 231.95668 \nL 546.342063 231.95668 \nL 546.342063 196.664544 \nL 550.701438 196.664544 \nL 550.701438 196.142985 \nL 555.060812 196.142985 \nL 555.060812 158.764614 \nL 559.420187 158.764614 \nL 559.420187 150.941234 \nL 563.779563 150.941234 \nL 563.779563 136.337591 \nL 568.138938 136.337591 \nL 568.138938 159.633878 \nL 572.498313 159.633878 \nL 572.498313 153.896732 \nL 576.857687 153.896732 \nL 576.857687 188.145751 \nL 581.217063 188.145751 \nL 581.217063 194.926014 \nL 585.576438 194.926014 \nL 585.576438 209.008098 \nL 589.935812 209.008098 \nL 589.935812 220.482389 \nL 594.295187 220.482389 \nL 594.295187 226.741093 \nL 598.654563 226.741093 \nL 598.654563 229.870445 \nL 603.013938 229.870445 \nL 603.013938 230.392004 \nL 607.373313 230.392004 \nL 607.373313 231.435121 \nL 611.732687 231.435121 \nL 611.732687 231.95668 \nL 624.810812 231.95668 \nL 624.810812 232.478239 \nL 629.170187 232.478239 \nL 629.170187 232.478239 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke: #ff4500; stroke-width: 1.5; stroke-linecap: square\"/>\n   </g>\n   <g id=\"line2d_32\">\n    <path d=\"M 75.529563 232.478239 \nL 385.045187 232.478239 \nL 385.045187 197.707419 \nL 389.404563 197.707419 \nL 389.404563 162.936599 \nL 398.123313 162.936599 \nL 398.123313 127.644217 \nL 402.482687 127.644217 \nL 402.482687 58.102578 \nL 406.842063 58.102578 \nL 406.842063 57.059453 \nL 411.201438 57.059453 \nL 411.201438 90.265586 \nL 415.560812 90.265586 \nL 415.560812 52.365393 \nL 419.920188 52.365393 \nL 419.920188 82.963714 \nL 424.279563 82.963714 \nL 424.279563 145.725043 \nL 428.638938 145.725043 \nL 428.638938 174.237115 \nL 432.998313 174.237115 \nL 432.998313 169.543055 \nL 437.357687 169.543055 \nL 437.357687 202.227625 \nL 441.717063 202.227625 \nL 441.717063 203.27075 \nL 446.076438 203.27075 \nL 446.076438 207.443248 \nL 450.435812 207.443248 \nL 450.435812 212.658871 \nL 454.795188 212.658871 \nL 454.795188 217.352932 \nL 459.154563 217.352932 \nL 459.154563 221.52543 \nL 463.513938 221.52543 \nL 463.513938 224.133242 \nL 467.873313 224.133242 \nL 467.873313 226.219491 \nL 472.232687 226.219491 \nL 472.232687 227.784178 \nL 476.592063 227.784178 \nL 476.592063 228.827303 \nL 480.951438 228.827303 \nL 480.951438 229.348865 \nL 485.310812 229.348865 \nL 485.310812 230.391989 \nL 489.670187 230.391989 \nL 489.670187 230.913552 \nL 498.388938 230.913552 \nL 498.388938 231.435114 \nL 502.748313 231.435114 \nL 502.748313 231.956676 \nL 537.623313 231.956676 \nL 537.623313 232.478239 \nL 629.170187 232.478239 \nL 629.170187 232.478239 \n\" clip-path=\"url(#pd4640c04e7)\" style=\"fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #ff4500; stroke-width: 1.5\"/>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 75.529563 242.361875 \nL 75.529563 24.921875 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 633.529562 242.361875 \nL 633.529562 24.921875 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 75.529562 242.361875 \nL 633.529562 242.361875 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 75.529562 24.921875 \nL 633.529562 24.921875 \n\" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pd4640c04e7\">\n   <rect x=\"75.529563\" y=\"24.921875\" width=\"558\" height=\"217.44\"/>\n  </clipPath>\n </defs>\n</svg>\n",
+      "text/plain": [
+       "<Figure size 720x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "16e7f8cc7d94433aadb4b1a085f0118f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HTML(value=\"<a href='./fig_2c.pdf' target='_blank'>./fig_2c.pdf</a><br>\")"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "from scipy.ndimage import uniform_filter1d\n",
     "\n",
@@ -200,6 +242,13 @@
     "axs.get_xaxis().set_major_formatter(matplotlib.ticker.ScalarFormatter())\n",
     "show_plot(\"fig_2c.pdf\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/PySDM_examples/Lowe_et_al_2019/fig_3.ipynb b/examples/PySDM_examples/Lowe_et_al_2019/fig_3.ipynb
index 07b0b771c..1de894cc0 100644
--- a/examples/PySDM_examples/Lowe_et_al_2019/fig_3.ipynb
+++ b/examples/PySDM_examples/Lowe_et_al_2019/fig_3.ipynb
@@ -37,12 +37,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "from PySDM_examples.Lowe_et_al_2019 import Settings, Simulation\n",
     "from PySDM_examples.Lowe_et_al_2019.aerosol_code import AerosolMarine, AerosolBoreal\n",
+    "from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS\n",
     "\n",
     "from PySDM import Formulae\n",
     "from PySDM.initialisation.sampling import spectral_sampling as spec_sampling\n",
@@ -75,21 +76,13 @@
     "\n",
     "Acc = {\"a\": 30, \"b\": 134, \"c\": 160, \"d\": 540}\n",
     "\n",
-    "consts = {\"delta_min\":0.1, \n",
-    "          \"MAC\":1, \n",
-    "          \"HAC\":1, \n",
-    "          \"c_pd\":1006 * si.joule / si.kilogram / si.kelvin, \n",
-    "          \"g_std\":9.81 * si.metre / si.second ** 2,\n",
-    "          \"scipy_ode_solver\":False\n",
-    "          }\n",
-    "\n",
-    "FORMULAE = Formulae()\n",
-    "WATER_MOLAR_VOLUME = FORMULAE.constants.Mv / FORMULAE.constants.rho_w"
+    "FORMULAE = Formulae(constants=LOWE_CONSTS)\n",
+    "WATER_MOLAR_VOLUME = FORMULAE.constants.water_molar_volume"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T12:00:05.967263Z",
@@ -117,8 +110,8 @@
     "\n",
     "print(f'tasks scheduled: {len(models) * len(subplot_list) * len(forg_list) * len(updraft_list)}')\n",
     "print(updraft_list)\n",
-    "with parallel_backend('loky', n_jobs=-1):\n",
-    "    output = dict(Parallel(verbose=10)(\n",
+    "with parallel_backend('loky', n_jobs=-2):\n",
+    "    output = dict(Parallel(verbose=0)(\n",
     "        delayed(compute)(subplot+f\"_w{w:.2f}_f{Forg:.2f}_\"+model, Settings(\n",
     "            dz = 10 * si.m if CI else 1 * si.m,\n",
     "            n_sd_per_mode = 10 if CI else 50,\n",
@@ -131,7 +124,6 @@
     "            }[subplot],\n",
     "            w = w * si.m / si.s,\n",
     "            spectral_sampling = spec_sampling.ConstantMultiplicity,\n",
-    "            **consts\n",
     "        ))\n",
     "        for w in updraft_list\n",
     "        for Forg in forg_list\n",
@@ -142,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2023-12-29T12:00:09.455374Z",
@@ -152,22 +144,26 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 1400x1000 with 8 Axes>"
+       "<Figure size 1008x720 with 8 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 1400x1000 with 8 Axes>"
+       "<Figure size 1008x720 with 8 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -176,6 +172,13 @@
     "plot_contours(subplot_list, updraft_list, forg_list, output, actfrac=False, save=False)\n",
     "plot_contours(subplot_list, updraft_list, forg_list, output, actfrac=True, save=False)\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/examples/PySDM_examples/Lowe_et_al_2019/fig_s2.ipynb b/examples/PySDM_examples/Lowe_et_al_2019/fig_s2.ipynb
new file mode 100644
index 000000000..c81e9157b
--- /dev/null
+++ b/examples/PySDM_examples/Lowe_et_al_2019/fig_s2.ipynb
@@ -0,0 +1,226 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[![View notebook](https://img.shields.io/static/v1?label=render%20on&logo=github&color=87ce3e&message=GitHub)](https://github.com/open-atmos/PySDM/blob/main/examples/PySDM_examples/Lowe_et_al_2019/fig_s2.ipynb)\n",
+    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/open-atmos/PySDM.git/main?urlpath=lab/tree/examples/PySDM_examples/Lowe_et_al_2019/fig_s2.ipynb)\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/open-atmos/PySDM/blob/main/examples/PySDM_examples/Lowe_et_al_2019/fig_s2.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### based on Fig. S2 from Lowe et al. 2019 (Nature Comm.)  \"_Key drivers of cloud response to surface-active organics_\"   \n",
+    "https://doi.org/10.1038/s41467-019-12982-0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "if 'google.colab' in sys.modules:\n",
+    "    !pip --quiet install open-atmos-jupyter-utils\n",
+    "    from open_atmos_jupyter_utils import pip_install_on_colab\n",
+    "    pip_install_on_colab('PySDM-examples')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from contextlib import contextmanager\n",
+    "\n",
+    "import numba\n",
+    "\n",
+    "from PySDM_examples.Lowe_et_al_2019 import Settings, Simulation\n",
+    "from PySDM_examples.Lowe_et_al_2019.aerosol_code import AerosolBoreal, AerosolMarine, AerosolNascent\n",
+    "from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS\n",
+    "from open_atmos_jupyter_utils import show_plot\n",
+    "\n",
+    "from PySDM import Formulae\n",
+    "from PySDM.initialisation.sampling import spectral_sampling as spec_sampling\n",
+    "from PySDM.initialisation.spectra import Sum\n",
+    "from PySDM.physics import si, in_unit\n",
+    "\n",
+    "import numpy as np\n",
+    "from joblib import Parallel, delayed, parallel_backend\n",
+    "\n",
+    "from matplotlib import pyplot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@contextmanager\n",
+    "def numba_threading_disabled():\n",
+    "    numba_original_num_threads = numba.get_num_threads()\n",
+    "    numba.set_num_threads(1)\n",
+    "    try:\n",
+    "        yield\n",
+    "    finally:\n",
+    "        numba.set_num_threads(numba_original_num_threads)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "CI = 'CI' in os.environ\n",
+    "nRes = 10\n",
+    "updraft_list = np.linspace(0.2, 2.4, 2 if CI else nRes)\n",
+    "models = ('Constant', 'CompressedFilmOvadnevaite')\n",
+    "\n",
+    "FORMULAE = Formulae(\n",
+    "    constants=LOWE_CONSTS,\n",
+    ")\n",
+    "WATER_MOLAR_VOLUME = FORMULAE.constants.Mv / FORMULAE.constants.rho_w\n",
+    "aerosols = (\n",
+    "    AerosolMarine(water_molar_volume=WATER_MOLAR_VOLUME), \n",
+    "    AerosolBoreal(water_molar_volume=WATER_MOLAR_VOLUME), \n",
+    "    AerosolNascent(water_molar_volume=WATER_MOLAR_VOLUME)\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compute(keyname, settings):\n",
+    "    simulation = Simulation(settings)\n",
+    "    out = simulation.run()\n",
+    "    out['updraft'] = settings.w\n",
+    "    out['org_fraction'] = settings.aerosol.modes[0]['f_org']\n",
+    "    out['color'] = settings.aerosol.color\n",
+    "    out['Na_tot'] = Sum(\n",
+    "            tuple(settings.aerosol.modes[i]['spectrum']\n",
+    "                  for i in range(len(settings.aerosol.modes)))).norm_factor\n",
+    "    return keyname, out\n",
+    "\n",
+    "print(f'tasks scheduled: {len(models) * len(aerosols) * len(updraft_list)}')\n",
+    "print('updrafts:', updraft_list)\n",
+    "\n",
+    "with numba_threading_disabled():\n",
+    "    with parallel_backend(backend='loky', n_jobs=-2):\n",
+    "        output = dict(Parallel(verbose=0)(\n",
+    "            delayed(compute)(f\"w{w:.2f}_{aerosol.__class__.__name__}_{model}\", Settings(\n",
+    "                dz = 10 * si.m if CI else 1 * si.m,\n",
+    "                n_sd_per_mode = 10 if CI else 100,\n",
+    "                model = model,\n",
+    "                aerosol = aerosol,\n",
+    "                w = w * si.m / si.s,\n",
+    "                spectral_sampling = spec_sampling.ConstantMultiplicity,\n",
+    "            ))\n",
+    "            for w in updraft_list\n",
+    "            for model in models\n",
+    "            for aerosol in aerosols\n",
+    "        ))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, axes = pyplot.subplots(1, 3, figsize=(10,3))\n",
+    "\n",
+    "for key, out_item in output.items():\n",
+    "    ll = \"_\".join(key.split(\"_\", maxsplit=1)[1:]).replace(\"Aerosol\",\"\").replace(\"CompressedFilm\",\"\")\n",
+    "    cc, disp = {\n",
+    "        \"Marine\": (\"b\", -0.1),\n",
+    "        \"Boreal\": (\"g\", -0.05),\n",
+    "        \"Nascent\": (\"r\", 0.0),\n",
+    "    }[ll.split(\"_\", maxsplit=1)[0]]\n",
+    "    w, a, h = {\n",
+    "        \"Constant\": (0.05, 0.4, \"\"),\n",
+    "        \"Ovadnevaite\": (0.025, 0.6, \"//\"),\n",
+    "    }[ll.split(\"_\", maxsplit=1)[1]]\n",
+    "\n",
+    "    ax = axes[0]\n",
+    "    label = ll if key.split(\"_\", maxsplit=1)[0] == \"w0.20\" else ''\n",
+    "    common_kwargs = {\n",
+    "        'color': cc,\n",
+    "        'width': w,\n",
+    "        'alpha': a,\n",
+    "        'hatch': h\n",
+    "    }\n",
+    "\n",
+    "    ax.bar(\n",
+    "        out_item[\"updraft\"] + disp,\n",
+    "        in_unit(out_item[\"lwp\"], si.g / si.m**2),\n",
+    "        **common_kwargs, label=label\n",
+    "    )\n",
+    "    if label != '':\n",
+    "        ax.legend(loc = 0) #bbox_to_anchor=(5, 1))\n",
+    "\n",
+    "    ax.set_xlabel(\"w [m s$^{-1}$]\")\n",
+    "    ax.set_ylabel(\"LWP [g m$^{-2}$]\")\n",
+    "    ax.set_ylim(27,35) # 27,33\n",
+    "\n",
+    "    ax = axes[1]\n",
+    "    ax.bar(out_item[\"updraft\"] + disp, out_item[\"tau\"], **common_kwargs)\n",
+    "    ax.set_xlabel(\"w [m s$^{-1}$]\")\n",
+    "    ax.set_ylabel(\"$\\\\tau$, optical depth\")\n",
+    "    ax.set_ylim(0,13) # 0,11\n",
+    "\n",
+    "    ax = axes[2]\n",
+    "    ax.bar(out_item[\"updraft\"] + disp, out_item[\"albedo\"], **common_kwargs)\n",
+    "    ax.set_xlabel(\"w [m s$^{-1}$]\")\n",
+    "    ax.set_ylabel(\"$\\\\alpha$, cloud albedo\")\n",
+    "    ax.set_ylim(0,0.5) # 0,0.45\n",
+    "\n",
+    "pyplot.tight_layout()\n",
+    "show_plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "b14f34a08619f4a218d80d7380beed3f0c712c89ff93e7183219752d640ed427"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/examples/PySDM_examples/Lowe_et_al_2019/plot_helper.py b/examples/PySDM_examples/Lowe_et_al_2019/plot_helper.py
index ae71f0368..f8d117da3 100644
--- a/examples/PySDM_examples/Lowe_et_al_2019/plot_helper.py
+++ b/examples/PySDM_examples/Lowe_et_al_2019/plot_helper.py
@@ -17,7 +17,7 @@ def plot_profiles(subplot_list, updraft_list, forg_list, output, save=False):
         for i, w in enumerate(updraft_list):
             for _, Forg in enumerate(forg_list):
                 key = subplot + f"_w{w:.2f}_f{Forg:.2f}_"
-                var = "n_c_cm3"
+                var = "CDNC_cm3"
                 z = np.array(output[key + "CompressedFilmOvadnevaite"]["z"])
                 CDNC_film = np.array(output[key + "CompressedFilmOvadnevaite"][var])
                 CDNC_bulk = np.array(output[key + "Constant"][var])
@@ -60,7 +60,7 @@ def plot_contours(
                     CDNC_film = output[key + "CompressedFilmOvadnevaite"][var][0] * Naer
                     CDNC_bulk = output[key + "Constant"][var][0] * Naer
                 else:
-                    var = "n_c_cm3"
+                    var = "CDNC_cm3"
                     z = np.array(output[key + "CompressedFilmOvadnevaite"]["z"])
                     wz = np.where(z == z[-1])[0][0]
                     CDNC_film = np.array(
diff --git a/examples/PySDM_examples/Lowe_et_al_2019/settings.py b/examples/PySDM_examples/Lowe_et_al_2019/settings.py
index a7a34d8d9..25c674984 100644
--- a/examples/PySDM_examples/Lowe_et_al_2019/settings.py
+++ b/examples/PySDM_examples/Lowe_et_al_2019/settings.py
@@ -1,6 +1,6 @@
 import numpy as np
+from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS
 from pystrict import strict
-from scipy import constants as sci
 
 from PySDM import Formulae
 from PySDM.initialisation.aerosol_composition import DryAerosolMixture
@@ -18,31 +18,19 @@ def __init__(
         model: str,
         spectral_sampling: type(spec_sampling.SpectralSampling),
         w: float = 0.32 * si.m / si.s,
-        delta_min: float = 0.1,  # 0.2 in paper, but 0.1 matches plot fig 1c/d
-        MAC: float = 1,
-        HAC: float = 1,
-        c_pd: float = 1005 * si.joule / si.kilogram / si.kelvin,
-        g_std: float = sci.g * si.metre / si.second**2,
-        scipy_ode_solver: bool = False,
     ):
         assert model in ("Constant", "CompressedFilmOvadnevaite")
         self.model = model
         self.n_sd_per_mode = n_sd_per_mode
-        self.scipy_ode_solver = scipy_ode_solver
         self.formulae = Formulae(
             surface_tension=model,
-            constants={
-                "sgm_org": 40 * si.mN / si.m,
-                "delta_min": delta_min * si.nm,
-                "MAC": MAC,
-                "HAC": HAC,
-                "c_pd": c_pd,
-                "g_std": g_std,
-            },
+            constants=LOWE_CONSTS,
             diffusion_kinetics="LoweEtAl2019",
             diffusion_thermics="LoweEtAl2019",
             latent_heat="Lowe2019",
             saturation_vapour_pressure="Lowe1977",
+            optical_albedo="Bohren1987",
+            optical_depth="Stephens1978",
         )
         const = self.formulae.constants
         self.aerosol = aerosol
@@ -54,8 +42,6 @@ def __init__(
         self.dt = dz / self.w
         self.output_interval = 1 * self.dt
 
-        self.g = 9.81 * si.m / si.s**2
-
         self.p0 = 980 * si.mbar
         self.T0 = 280 * si.K
         pv0 = 0.999 * self.formulae.saturation_vapour_pressure.pvs_Celsius(
diff --git a/examples/PySDM_examples/Lowe_et_al_2019/simulation.py b/examples/PySDM_examples/Lowe_et_al_2019/simulation.py
index 1d8ef3f09..ccd255eab 100644
--- a/examples/PySDM_examples/Lowe_et_al_2019/simulation.py
+++ b/examples/PySDM_examples/Lowe_et_al_2019/simulation.py
@@ -4,7 +4,6 @@
 import PySDM.products as PySDM_products
 from PySDM import Builder
 from PySDM.backends import CPU
-from PySDM.backends.impl_numba.test_helpers import scipy_ode_condensation_solver
 from PySDM.dynamics import AmbientThermodynamics, Condensation
 from PySDM.environments import Parcel
 from PySDM.initialisation import equilibrate_wet_radii
@@ -32,14 +31,15 @@ def __init__(self, settings, products=None):
             "kappa times dry volume": np.empty(0),
             "multiplicity": np.ndarray(0),
         }
+        initial_volume = settings.mass_of_dry_air / settings.rho0
         for mode in settings.aerosol.modes:
             r_dry, n_in_dv = settings.spectral_sampling(
                 spectrum=mode["spectrum"]
             ).sample(settings.n_sd_per_mode)
-            V = settings.mass_of_dry_air / settings.rho0
-            N = n_in_dv * V
             v_dry = settings.formulae.trivia.volume(radius=r_dry)
-            attributes["multiplicity"] = np.append(attributes["multiplicity"], N)
+            attributes["multiplicity"] = np.append(
+                attributes["multiplicity"], n_in_dv * initial_volume
+            )
             attributes["dry volume"] = np.append(attributes["dry volume"], v_dry)
             attributes["dry volume organic"] = np.append(
                 attributes["dry volume organic"], mode["f_org"] * v_dry
@@ -52,7 +52,7 @@ def __init__(self, settings, products=None):
             assert attribute.shape[0] == n_sd
 
         np.testing.assert_approx_equal(
-            np.sum(attributes["multiplicity"]) / V,
+            np.sum(attributes["multiplicity"]) / initial_volume,
             Sum(
                 tuple(
                     settings.aerosol.modes[i]["spectrum"]
@@ -80,46 +80,61 @@ def __init__(self, settings, products=None):
             PySDM_products.Time(name="t"),
             PySDM_products.PeakSupersaturation(unit="%", name="S_max"),
             PySDM_products.AmbientRelativeHumidity(unit="%", name="RH"),
-            PySDM_products.ParticleConcentration(
-                name="n_c_cm3", unit="cm^-3", radius_range=settings.cloud_radius_range
+            PySDM_products.ActivatedParticleConcentration(
+                name="CDNC_cm3",
+                unit="cm^-3",
+                count_activated=True,
+                count_unactivated=False,
             ),
             PySDM_products.ParticleSizeSpectrumPerVolume(
                 radius_bins_edges=settings.wet_radius_bins_edges
             ),
-            PySDM_products.ActivableFraction(),
+            PySDM_products.ActivableFraction(name="Activated Fraction"),
+            PySDM_products.WaterMixingRatio(),
+            PySDM_products.AmbientDryAirDensity(name="rhod"),
+            PySDM_products.ActivatedEffectiveRadius(
+                name="reff", count_activated=True, count_unactivated=False
+            ),
+            PySDM_products.ParcelLiquidWaterPath(
+                name="lwp", count_activated=True, count_unactivated=False
+            ),
+            PySDM_products.CloudOpticalDepth(name="tau"),
+            PySDM_products.CloudAlbedo(name="albedo"),
         )
 
         particulator = builder.build(attributes=attributes, products=products)
-        if settings.scipy_ode_solver:
-            scipy_ode_condensation_solver.patch_particulator(particulator)
         self.settings = settings
         super().__init__(particulator=particulator)
 
     def _save_scalars(self, output):
         for k, v in self.particulator.products.items():
-            if len(v.shape) > 1 or k == "activable fraction":
+            if len(v.shape) > 1 or k in ("lwp", "Activated Fraction", "tau", "albedo"):
                 continue
             value = v.get()
             if isinstance(value, np.ndarray) and value.size == 1:
                 value = value[0]
             output[k].append(value)
 
-    def _save_spectrum(self, output):
-        value = self.particulator.products["particle size spectrum per volume"].get()
-        output["spectrum"] = value
+    def _save_final_timestep_products(self, output):
+        output["spectrum"] = self.particulator.products[
+            "particle size spectrum per volume"
+        ].get()
+
+        for name, args_call in {
+            "Activated Fraction": lambda: {"S_max": np.nanmax(output["S_max"])},
+            "lwp": lambda: {},
+            "tau": lambda: {
+                "effective_radius": output["reff"][-1],
+                "liquid_water_path": output["lwp"][0],
+            },
+            "albedo": lambda: {"optical_depth": output["tau"]},
+        }.items():
+            output[name] = self.particulator.products[name].get(**args_call())
 
     def run(self):
         output = {k: [] for k in self.particulator.products}
         for step in self.settings.output_steps:
             self.particulator.run(step - self.particulator.n_steps)
             self._save_scalars(output)
-        self._save_spectrum(output)
-        if self.settings.scipy_ode_solver:
-            output["Activated Fraction"] = self.particulator.products[
-                "activable fraction"
-            ].get(S_max=np.nanmax(output["RH"]) - 100)
-        else:
-            output["Activated Fraction"] = self.particulator.products[
-                "activable fraction"
-            ].get(S_max=np.nanmax(output["S_max"]))
+        self._save_final_timestep_products(output)
         return output
diff --git a/tests/smoke_tests/parcel/lowe_et_al_2019/test_dz_sensitivity.py b/tests/smoke_tests/parcel/lowe_et_al_2019/test_dz_sensitivity.py
index 8a0a8e4cb..e100b9e1e 100644
--- a/tests/smoke_tests/parcel/lowe_et_al_2019/test_dz_sensitivity.py
+++ b/tests/smoke_tests/parcel/lowe_et_al_2019/test_dz_sensitivity.py
@@ -4,28 +4,22 @@
 from matplotlib import pyplot
 from PySDM_examples.Lowe_et_al_2019 import Settings, Simulation
 from PySDM_examples.Lowe_et_al_2019.aerosol_code import AerosolMarine
+from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS
 
+from PySDM import Formulae
 from PySDM.initialisation.sampling import spectral_sampling as spec_sampling
-from PySDM.physics import constants_defaults, si
+from PySDM.physics import si
+
+FORMULAE = Formulae(constants=LOWE_CONSTS)
+WATER_MOLAR_VOLUME = FORMULAE.constants.water_molar_volume
 
 
 def test_dz_sensitivity(
     plot=False,
 ):  # pylint: disable=too-many-locals,too-many-branches
     # arrange
-    consts = {
-        "delta_min": 0.1,
-        "MAC": 1,
-        "HAC": 1,
-        "c_pd": 1006 * si.joule / si.kilogram / si.kelvin,
-        "g_std": 9.81 * si.m / si.s**2,
-        "scipy_ode_solver": False,
-    }
-
     output = {}
-    aerosol = AerosolMarine(
-        water_molar_volume=constants_defaults.Mv / constants_defaults.rho_w
-    )
+    aerosol = AerosolMarine(water_molar_volume=WATER_MOLAR_VOLUME)
     model = "Constant"
 
     # act
@@ -37,7 +31,6 @@ def test_dz_sensitivity(
             model=model,
             aerosol=aerosol,
             spectral_sampling=spec_sampling.ConstantMultiplicity,
-            **consts,
         )
         simulation = Simulation(settings)
         output[key] = simulation.run()
@@ -46,7 +39,7 @@ def test_dz_sensitivity(
     # plot
     pyplot.rc("font", size=14)
     _, axs = pyplot.subplots(1, 2, figsize=(11, 4), sharey=True)
-    vlist = ("S_max", "n_c_cm3")
+    vlist = ("S_max", "CDNC_cm3")
 
     for idx, var in enumerate(vlist):
         for key, out_item in output.items():
@@ -60,7 +53,7 @@ def test_dz_sensitivity(
         if var == "S_max":
             axs[idx].set_xlabel("Supersaturation [%]")
             axs[idx].set_xlim(0)
-        elif var == "n_c_cm3":
+        elif var == "CDNC_cm3":
             axs[idx].set_xlabel("Cloud droplet concentration [cm$^{-3}$]")
         else:
             assert False
diff --git a/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_1.py b/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_1.py
index 31285a856..247914d76 100644
--- a/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_1.py
+++ b/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_1.py
@@ -2,27 +2,28 @@
 import numpy as np
 import pytest
 from PySDM_examples.Lowe_et_al_2019 import aerosol as paper_aerosol
+from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS
 from scipy import signal
 
 from PySDM import Formulae
 from PySDM.physics import constants_defaults as const
 from PySDM.physics import si
 
-FORMULAE = Formulae()
+FORMULAE = Formulae(constants=LOWE_CONSTS)
 TRIVIA = FORMULAE.trivia
 R_WET = np.logspace(np.log(150 * si.nm), np.log(3000 * si.nm), base=np.e, num=100)
 R_DRY = 50 * si.nm
 V_WET = TRIVIA.volume(R_WET)
 V_DRY = TRIVIA.volume(R_DRY)
 TEMPERATURE = 300 * si.K
-WATER_MOLAR_VOLUME = FORMULAE.constants.Mv / FORMULAE.constants.rho_w
+WATER_MOLAR_VOLUME = FORMULAE.constants.water_molar_volume
 
 
 class TestFig1:
     @staticmethod
     def test_bulk_surface_tension_is_sgm_w():
         # arrange
-        formulae = Formulae(surface_tension="Constant")
+        formulae = Formulae(surface_tension="Constant", constants=LOWE_CONSTS)
         r_wet = np.logspace(
             np.log(150 * si.nm), np.log(3000 * si.nm), base=np.e, num=100
         )
@@ -57,7 +58,7 @@ def test_kink_location(constants, aerosol, cutoff):
         # arrange
         formulae = Formulae(
             surface_tension="CompressedFilmOvadnevaite",
-            constants={"sgm_org": 40 * si.mN / si.m, "delta_min": 0.1 * si.nm},
+            constants=LOWE_CONSTS,
         )
 
         # act
@@ -123,7 +124,7 @@ def test_koehler_maxima(*, aerosol, surface_tension, maximum_x, maximum_y, bimod
         # arrange
         formulae = Formulae(
             surface_tension=surface_tension,
-            constants={"sgm_org": 40 * si.mN / si.m, "delta_min": 0.1 * si.nm},
+            constants=LOWE_CONSTS,
         )
         sigma = formulae.surface_tension.sigma(
             np.nan, V_WET, V_DRY, aerosol.modes[0]["f_org"]
diff --git a/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_2.py b/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_2.py
index f659e6d8f..26d1f9c70 100644
--- a/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_2.py
+++ b/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_2.py
@@ -3,11 +3,14 @@
 import pytest
 from PySDM_examples.Lowe_et_al_2019 import Settings, Simulation
 from PySDM_examples.Lowe_et_al_2019 import aerosol as paper_aerosol
+from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS
 
+from PySDM import Formulae
 from PySDM.initialisation.sampling import spectral_sampling
-from PySDM.physics import constants_defaults, si
+from PySDM.physics import si
 
-WATER_MOLAR_VOLUME = constants_defaults.Mv / constants_defaults.rho_w
+FORMULAE = Formulae(constants=LOWE_CONSTS)
+WATER_MOLAR_VOLUME = FORMULAE.constants.water_molar_volume
 
 
 class TestFig2:  # pylint: disable=too-few-public-methods
@@ -84,7 +87,9 @@ def test_peak_supersaturation_and_final_concentration(
         print(i_100m, output["z"][i_100m])
         print(np.nanmax(output["S_max"]), s_max)
         print(output["S_max"][i_100m], s_100m)
-        print(output["n_c_cm3"][i_100m], n_100m)
+        print(output["CDNC_cm3"][i_100m], n_100m)
         np.testing.assert_approx_equal(np.nanmax(output["S_max"]), s_max, significant=2)
         np.testing.assert_approx_equal(output["S_max"][i_100m], s_100m, significant=2)
-        np.testing.assert_approx_equal(output["n_c_cm3"][i_100m], n_100m, significant=2)
+        np.testing.assert_approx_equal(
+            output["CDNC_cm3"][i_100m], n_100m, significant=2
+        )
diff --git a/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_s2.py b/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_s2.py
new file mode 100644
index 000000000..8d8e19650
--- /dev/null
+++ b/tests/smoke_tests/parcel/lowe_et_al_2019/test_fig_s2.py
@@ -0,0 +1,83 @@
+"""
+    test for supplementary figure 2 in Lowe et al 2019 paper.
+    checks that values from panels d)-f) are in a reasonable range
+    and decrease/increase monotonically with updraft velocity
+"""
+
+import os
+from pathlib import Path
+
+import numpy as np
+import pytest
+from PySDM_examples import Lowe_et_al_2019
+from PySDM_examples.utils import notebook_vars
+
+from PySDM.physics import si
+
+PLOT = False
+
+
+@pytest.fixture(scope="session", name="variables")
+def variables_fixture():
+    return notebook_vars(
+        file=Path(Lowe_et_al_2019.__file__).parent / "fig_s2.ipynb", plot=PLOT
+    )
+
+
+CI = "CI" in os.environ
+nRes = 10
+updrafts = np.linspace(0.2, 2.4, 2 if CI else nRes)
+models = ("Constant", "CompressedFilmOvadnevaite")
+aerosol_names = ("AerosolMarine", "AerosolBoreal", "AerosolNascent")
+
+
+def keygen(updraft, model, aerosol_class_name):
+    return f"w{updraft:.2f}_{aerosol_class_name}_{model}"
+
+
+@pytest.fixture(
+    params=[
+        keygen(updraft, model, aerosol_class_name)
+        for updraft in updrafts
+        for model in models
+        for aerosol_class_name in aerosol_names
+    ],
+    scope="session",
+    name="key",
+)
+def keys_fixture(request):
+    return request.param
+
+
+@pytest.fixture(params=models, scope="session", name="model")
+def models_fixture(request):
+    return request.param
+
+
+@pytest.fixture(params=aerosol_names, scope="session", name="aerosol_class_name")
+def aerosols_fixture(request):
+    return request.param
+
+
+class TestFigS2:
+    @staticmethod
+    @pytest.mark.parametrize(
+        "var, value_range",
+        (
+            ("lwp", (28 * si.g / si.m**2, 36 * si.g / si.m**2)),  # TODO #1247: 28 to 33
+            ("tau", (2, 13)),  # TODO #1247: 2 to 11
+            ("albedo", (0.15, 0.5)),  # TODO #1247: 0.15 to 0.45
+        ),
+    )
+    # TODO #1246: range mismatch possibly related to supersaturation profile discrepancies
+    def test_ranges(var, value_range, variables, key):
+        assert value_range[0] < variables["output"][key][var] < value_range[1]
+
+    @staticmethod
+    @pytest.mark.parametrize("var, sgn", (("lwp", -1), ("tau", 1), ("albedo", 1)))
+    def test_monotonicity(var, sgn, variables, model, aerosol_class_name):
+        tmp = [
+            variables["output"][keygen(updraft, model, aerosol_class_name)][var]
+            for updraft in updrafts
+        ]
+        assert (np.diff(tmp) * sgn > -np.mean(tmp) * 1e-2).all()
diff --git a/tests/smoke_tests/parcel/lowe_et_al_2019/test_surface_tension_models.py b/tests/smoke_tests/parcel/lowe_et_al_2019/test_surface_tension_models.py
index 697fc4722..1b18c0eb6 100644
--- a/tests/smoke_tests/parcel/lowe_et_al_2019/test_surface_tension_models.py
+++ b/tests/smoke_tests/parcel/lowe_et_al_2019/test_surface_tension_models.py
@@ -1,19 +1,20 @@
 # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
 import numpy as np
 from PySDM_examples.Lowe_et_al_2019 import aerosol
+from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS
 
 from PySDM import Formulae
 from PySDM.physics import constants_defaults as const
 from PySDM.physics import si
 
-FORMULAE = Formulae()
+FORMULAE = Formulae(constants=LOWE_CONSTS)
 TRIVIA = FORMULAE.trivia
 R_WET = np.logspace(np.log(150 * si.nm), np.log(3000 * si.nm), base=np.e, num=100)
 R_DRY = 50 * si.nm
 V_WET = TRIVIA.volume(R_WET)
 V_DRY = TRIVIA.volume(R_DRY)
 TEMPERATURE = 300 * si.K
-WATER_MOLAR_VOLUME = FORMULAE.constants.Mv / FORMULAE.constants.rho_w
+WATER_MOLAR_VOLUME = FORMULAE.constants.water_molar_volume
 aer = aerosol.AerosolBoreal(water_molar_volume=WATER_MOLAR_VOLUME)
 
 
@@ -21,7 +22,7 @@ class TestFig1:
     @staticmethod
     def test_bulk_surface_tension_is_sgm_w():
         # arrange
-        formulae = Formulae(surface_tension="Constant")
+        formulae = Formulae(surface_tension="Constant", constants=LOWE_CONSTS)
 
         # act
         sigma = formulae.surface_tension.sigma(np.nan, V_WET, np.nan, np.nan)
@@ -34,7 +35,7 @@ def test_ovad_surface_tension():
         # arrange
         formulae = Formulae(
             surface_tension="CompressedFilmOvadnevaite",
-            constants={"sgm_org": 40 * si.mN / si.m, "delta_min": 0.1 * si.nm},
+            constants=LOWE_CONSTS,
         )
 
         # act
@@ -147,7 +148,7 @@ def test_ovad_surface_tension():
                 0.0709052019598351,
             ]
         )
-        assert np.allclose(sigma, test, atol=1e-8)
+        np.testing.assert_allclose(sigma, test, atol=1e-8)
 
     @staticmethod
     def test_ruehl_surface_tension():
@@ -155,6 +156,7 @@ def test_ruehl_surface_tension():
         formulae = Formulae(
             surface_tension="CompressedFilmRuehl",
             constants={
+                **LOWE_CONSTS,
                 "RUEHL_nu_org": aer.modes[0]["nu_org"],
                 "RUEHL_A0": 115e-20 * si.m * si.m,
                 "RUEHL_C0": 6e-7,
@@ -273,7 +275,7 @@ def test_ruehl_surface_tension():
                 0.072,
             ]
         )
-        assert np.allclose(sigma, test, atol=1e-8)
+        np.testing.assert_allclose(sigma, test, atol=1e-5)
 
     @staticmethod
     def test_SL_surface_tension():
@@ -281,6 +283,7 @@ def test_SL_surface_tension():
         formulae = Formulae(
             surface_tension="SzyszkowskiLangmuir",
             constants={
+                **LOWE_CONSTS,
                 "RUEHL_nu_org": aer.modes[0]["nu_org"],
                 "RUEHL_A0": 115e-20 * si.m * si.m,
                 "RUEHL_C0": 6e-7,
@@ -398,4 +401,4 @@ def test_SL_surface_tension():
                 0.07194516711540175,
             ]
         )
-        assert np.allclose(sigma, test, atol=1e-8)
+        np.testing.assert_allclose(sigma, test, atol=1e-5)
diff --git a/tests/smoke_tests/parcel/lowe_et_al_2019/test_zero_forg.py b/tests/smoke_tests/parcel/lowe_et_al_2019/test_zero_forg.py
index 2af7adcde..6660c2835 100644
--- a/tests/smoke_tests/parcel/lowe_et_al_2019/test_zero_forg.py
+++ b/tests/smoke_tests/parcel/lowe_et_al_2019/test_zero_forg.py
@@ -3,13 +3,14 @@
 from matplotlib import pyplot
 from PySDM_examples.Lowe_et_al_2019 import Settings, Simulation
 from PySDM_examples.Lowe_et_al_2019.aerosol import AerosolBoreal, AerosolMarine
+from PySDM_examples.Lowe_et_al_2019.constants_def import LOWE_CONSTS
 
 from PySDM import Formulae
 from PySDM.initialisation.sampling import spectral_sampling as spec_sampling
 from PySDM.physics import si
 
-FORMULAE = Formulae()
-WATER_MOLAR_VOLUME = FORMULAE.constants.Mv / FORMULAE.constants.rho_w
+FORMULAE = Formulae(constants=LOWE_CONSTS)
+WATER_MOLAR_VOLUME = FORMULAE.constants.water_molar_volume
 
 
 def test_zero_forg(plot=False):  # pylint: disable=too-many-locals
@@ -21,15 +22,6 @@ def test_zero_forg(plot=False):  # pylint: disable=too-many-locals
 
     Acc = {"a": 30, "b": 134, "c": 160, "d": 540}
 
-    consts = {
-        "delta_min": 0.1,
-        "MAC": 1,
-        "HAC": 1,
-        "c_pd": 1006 * si.joule / si.kilogram / si.kelvin,
-        "g_std": 9.81 * si.metre / si.second**2,
-        "scipy_ode_solver": False,
-    }
-
     cdnc_compare = np.zeros((len(models), len(subplot_list), len(updraft_list)))
     for i, w in enumerate(updraft_list):
         for k, subplot in enumerate(subplot_list):
@@ -62,11 +54,10 @@ def test_zero_forg(plot=False):  # pylint: disable=too-many-locals
                     }[subplot],
                     w=w * si.m / si.s,
                     spectral_sampling=spec_sampling.ConstantMultiplicity,
-                    **consts,
                 )
                 simulation = Simulation(settings)
                 output = simulation.run()
-                cdnc_compare[m, k, i] = np.array(output["n_c_cm3"])[-1]
+                cdnc_compare[m, k, i] = np.array(output["CDNC_cm3"])[-1]
 
     mrkr = ["o", "s", "*", "v", "^", "D", "h", "x", "+", "8", "p", "<", ">", "d", "H"]
     _, axes = pyplot.subplots(
diff --git a/tests/unit_tests/attributes/test_critical_supersaturation.py b/tests/unit_tests/attributes/test_critical_supersaturation.py
index de7cc15b0..2c495ce73 100644
--- a/tests/unit_tests/attributes/test_critical_supersaturation.py
+++ b/tests/unit_tests/attributes/test_critical_supersaturation.py
@@ -24,7 +24,6 @@ def test_critical_supersaturation():
             "volume": np.linspace(0.01, 10, n_sd) * si.um**3,
             "dry volume": vdry,
             "kappa times dry volume": 0.9 * vdry,
-            "dry volume organic": np.zeros(n_sd),
         },
         products=(ActivableFraction(),),
     )
diff --git a/tests/unit_tests/physics/test_optical.py b/tests/unit_tests/physics/test_optical.py
new file mode 100644
index 000000000..6ea3302f2
--- /dev/null
+++ b/tests/unit_tests/physics/test_optical.py
@@ -0,0 +1,47 @@
+""" tests for optical formulae (albedo, optical depth, ...) """
+
+import pytest
+
+from PySDM import Formulae
+from PySDM.physics import optical_albedo, optical_depth, constants_defaults
+from PySDM.formulae import _choices
+from PySDM.physics.dimensional_analysis import DimensionalAnalysis
+
+
+class TestOptical:
+    @staticmethod
+    @pytest.mark.parametrize(
+        "paper", [p for p in _choices(optical_albedo) if p != "Null"]
+    )
+    def test_albedo_unit(paper):
+        with DimensionalAnalysis():
+            # arrange
+            formulae = Formulae(optical_albedo=paper)
+            si = constants_defaults.si
+            tau = 1 * si.dimensionless
+
+            # act
+            albedo = formulae.optical_albedo.albedo(tau)
+
+            # assert
+            assert albedo.check("[]")
+
+    @staticmethod
+    @pytest.mark.parametrize(
+        "paper", [p for p in _choices(optical_depth) if p != "Null"]
+    )
+    def test_optical_depth_unit(paper):
+        with DimensionalAnalysis():
+            # arrange
+            formulae = Formulae(optical_depth=paper)
+            si = constants_defaults.si
+            liquid_water_path = 30 * si.g / si.m**2
+            effective_radius = 10 * si.um
+
+            # act
+            tau = formulae.optical_depth.tau(
+                LWP=liquid_water_path, reff=effective_radius
+            )
+
+            # assert
+            assert tau.check("[]")
diff --git a/tests/unit_tests/products/test_effective_radii.py b/tests/unit_tests/products/test_effective_radii.py
new file mode 100644
index 000000000..7d07b7493
--- /dev/null
+++ b/tests/unit_tests/products/test_effective_radii.py
@@ -0,0 +1,56 @@
+""" tests different formulations of effective radius product """
+
+import numpy as np
+
+from PySDM import Builder
+from PySDM.environments import Box
+from PySDM.physics import si
+from PySDM.products import EffectiveRadius, ActivatedEffectiveRadius
+
+
+def test_effective_radii(backend_class):
+    # arrange
+    env = Box(dt=np.nan, dv=np.nan)
+    wet_radii = np.asarray([0.01 * si.um, 0.05 * si.um, 0.09 * si.um, 1 * si.um])
+    dry_radii = np.asarray([0.009 * si.um] * len(wet_radii))
+    kappa = 1.666
+
+    builder = Builder(
+        n_sd=len(wet_radii),
+        backend=backend_class(double_precision=True),
+        environment=env,
+    )
+    dry_volume = builder.formulae.trivia.volume(radius=dry_radii)
+    env["T"] = 300 * si.K
+    particulator = builder.build(
+        attributes={
+            "water mass": builder.formulae.particle_shape_and_density.radius_to_mass(
+                wet_radii
+            ),
+            "dry volume": dry_volume,
+            "kappa times dry volume": kappa * dry_volume,
+            "multiplicity": np.asarray([1] * len(wet_radii)),
+        },
+        products=(
+            ActivatedEffectiveRadius(
+                name="a", count_unactivated=False, count_activated=False
+            ),
+            ActivatedEffectiveRadius(
+                name="b", count_unactivated=True, count_activated=False
+            ),
+            ActivatedEffectiveRadius(
+                name="c", count_activated=True, count_unactivated=True
+            ),
+            EffectiveRadius(name="d", radius_range=(0.5 * si.um, np.inf)),
+        ),
+    )
+
+    # act
+    sut = {k: product.get()[0] for k, product in particulator.products.items()}
+
+    # assert
+    assert np.isnan(sut["a"])
+    assert min(wet_radii) < sut["b"]
+    assert sut["b"] < sut["c"]
+    assert sut["c"] < sut["d"]
+    assert sut["d"] < max(wet_radii)
diff --git a/tests/unit_tests/products/test_impl.py b/tests/unit_tests/products/test_impl.py
index 42c8fcf97..81f2f21db 100644
--- a/tests/unit_tests/products/test_impl.py
+++ b/tests/unit_tests/products/test_impl.py
@@ -11,6 +11,7 @@
 from PySDM.backends import CPU
 from PySDM.environments import Box
 from PySDM.products import (
+    ActivatedEffectiveRadius,
     ActivatedMeanRadius,
     ActivatedParticleConcentration,
     ActivatedParticleSpecificConcentration,
@@ -25,6 +26,7 @@
     GaseousMoleFraction,
     MeanVolumeRadius,
     NumberSizeSpectrum,
+    ParcelLiquidWaterPath,
     ParticleSizeSpectrumPerMass,
     ParticleSizeSpectrumPerVolume,
     ParticleVolumeVersusRadiusLogarithmSpectrum,
@@ -67,6 +69,8 @@
     RadiusStandardDeviation: {"count_activated": True, "count_unactivated": False},
     AreaStandardDeviation: {"count_activated": True, "count_unactivated": False},
     VolumeStandardDeviation: {"count_activated": True, "count_unactivated": False},
+    ActivatedEffectiveRadius: {"count_activated": True, "count_unactivated": False},
+    ParcelLiquidWaterPath: {"count_activated": True, "count_unactivated": False},
 }
 
 
diff --git a/tests/unit_tests/products/test_parcel_liquid_water_path.py b/tests/unit_tests/products/test_parcel_liquid_water_path.py
new file mode 100644
index 000000000..bb449d9f6
--- /dev/null
+++ b/tests/unit_tests/products/test_parcel_liquid_water_path.py
@@ -0,0 +1,94 @@
+""" tests the liquid-water-path computing product for Parcel env """
+
+import numpy as np
+from matplotlib import pyplot
+
+from PySDM.products import (
+    ParcelLiquidWaterPath,
+    LiquidWaterContent,
+    AmbientRelativeHumidity,
+)
+from PySDM.environments import Parcel
+from PySDM.dynamics import Condensation, AmbientThermodynamics
+from PySDM import Builder
+from PySDM.physics import si
+
+
+def test_parcel_liquid_water_path(
+    backend_class, plot=False
+):  # pylint: disable=too-many-locals
+    # arrange
+    n_sd = 1
+    n_steps = 32
+    dz = 5 * si.m
+    dt = 1 * si.s
+
+    env = Parcel(
+        dt=dt,
+        mass_of_dry_air=1 * si.mg,
+        p0=1000 * si.hPa,
+        initial_water_vapour_mixing_ratio=22.2 * si.g / si.kg,
+        T0=300 * si.K,
+        w=dz / dt,
+    )
+
+    builder = Builder(
+        n_sd=n_sd, backend=backend_class(double_precision=True), environment=env
+    )
+    builder.add_dynamic(AmbientThermodynamics())
+    builder.add_dynamic(Condensation())
+    particulator = builder.build(
+        attributes=env.init_attributes(
+            n_in_dv=np.asarray([1000]), kappa=0.666, r_dry=np.asarray([0.01 * si.um])
+        ),
+        products=(
+            ParcelLiquidWaterPath(
+                name="LWP", count_unactivated=True, count_activated=True
+            ),
+            LiquidWaterContent(name="LWC"),
+            AmbientRelativeHumidity(name="RH"),
+        ),
+    )
+
+    # act
+    data = {product: [] for product in particulator.products}
+    for _ in range(n_steps):
+        particulator.run(steps=1)
+        for key, product in particulator.products.items():
+            value = product.get()
+            if isinstance(value, np.ndarray):
+                value = value[0]
+            data[key].append(value)
+    for k, datum in data.items():
+        data[k] = np.asarray(datum)
+    cumsum = np.cumsum((data["LWC"] - np.diff(data["LWC"], prepend=0) / 2) * dz)
+    t = np.arange(1, len(cumsum) + 1) * dt
+
+    # plot
+    pyplot.title(backend_class.__name__)
+    pyplot.plot(
+        t,
+        cumsum,
+        label="cumsum((LWC - diff(LWC)/2) * dz)",
+        color="black",
+        linestyle=":",
+    )
+    pyplot.plot(t, data["LWP"], label="LWP", color="black")
+    pyplot.ylabel("LWP [kg/m^2]")
+    pyplot.xlabel("time [s] (values at the end of each timestep)")
+    pyplot.ylim(0, 0.016)
+    pyplot.legend()
+    pyplot.grid()
+
+    twin = pyplot.gca().twinx()
+    twin.plot(t, data["RH"], color="red", marker="o")
+    twin.set_ylabel("RH [1]", color="red")
+    twin.set_ylim(0.98, 1.02)
+
+    if plot:
+        pyplot.show()
+    else:
+        pyplot.clf()
+
+    # assert
+    np.testing.assert_allclose(cumsum, data["LWP"], atol=2e-10)
diff --git a/tests/unit_tests/products/test_particle_size_product.py b/tests/unit_tests/products/test_particle_size_product.py
index cfab56115..2dfbc3fc1 100644
--- a/tests/unit_tests/products/test_particle_size_product.py
+++ b/tests/unit_tests/products/test_particle_size_product.py
@@ -100,7 +100,6 @@ def test_particle_size_product(
             "multiplicity": np.asarray(n),
             "volume": volume,
             "dry volume": dry_volume,
-            "dry volume organic": np.full_like(r, 0),
             "kappa times dry volume": KAPPA * dry_volume,
         },
         products=(