diff --git a/docs/changes/290.feature.rst b/docs/changes/290.feature.rst
index 42dacd1b..2be73b37 100644
--- a/docs/changes/290.feature.rst
+++ b/docs/changes/290.feature.rst
@@ -1,2 +1 @@
 Make it possible to pass multiple quantiles to ``pyirf.benchmarks.angular_resolution``, calculating all of them.
-If only one quantile is passed, the output is the same as before.
diff --git a/examples/comparison_with_EventDisplay.ipynb b/examples/comparison_with_EventDisplay.ipynb
index aa6321e2..564b8637 100644
--- a/examples/comparison_with_EventDisplay.ipynb
+++ b/examples/comparison_with_EventDisplay.ipynb
@@ -528,7 +528,7 @@
     "\n",
     "plt.errorbar(\n",
     "    0.5 * (ang_res['reco_energy_low'] + ang_res['reco_energy_high']).to_value(u.TeV),\n",
-    "    ang_res['containment_quantile_68'].to_value(u.deg),\n",
+    "    ang_res['angular_resolution_68'].to_value(u.deg),\n",
     "    xerr=0.5 * (ang_res['reco_energy_high'] - ang_res['reco_energy_low']).to_value(u.TeV),\n",
     "    ls='',\n",
     "    label='pyirf'\n",
diff --git a/pyirf/benchmarks/angular_resolution.py b/pyirf/benchmarks/angular_resolution.py
index 0fde76a9..a8d4f146 100644
--- a/pyirf/benchmarks/angular_resolution.py
+++ b/pyirf/benchmarks/angular_resolution.py
@@ -59,7 +59,7 @@ def angular_resolution(
     if not isinstance(quantile, Sequence):
         quantile = [quantile]
 
-    keys = [f"containment_quantile_{value * 100:.0f}" for value in quantile]
+    keys = [f"angular_resolution_{value * 100:.0f}" for value in quantile]
 
     for key in keys:
         result[key] = u.Quantity(np.nan, table["theta"].unit)
diff --git a/pyirf/benchmarks/tests/test_angular_resolution.py b/pyirf/benchmarks/tests/test_angular_resolution.py
index 07a7ce66..e66ed50d 100644
--- a/pyirf/benchmarks/tests/test_angular_resolution.py
+++ b/pyirf/benchmarks/tests/test_angular_resolution.py
@@ -17,7 +17,7 @@ def test_empty_angular_resolution():
 
     table = angular_resolution(events, [1, 10, 100] * u.TeV)
 
-    assert np.all(np.isnan(table["containment_quantile_68"]))
+    assert np.all(np.isnan(table["angular_resolution_68"]))
 
 
 @pytest.mark.parametrize("unit", (u.deg, u.rad))
@@ -57,7 +57,7 @@ def test_angular_resolution(unit):
 
     bins = [1, 10, 100] * u.TeV
     table = angular_resolution(events, bins)
-    ang_res = table["containment_quantile_68"].to(u.deg)
+    ang_res = table["angular_resolution_68"].to(u.deg)
     assert len(ang_res) == 2
     assert u.isclose(ang_res[0], TRUE_RES_1 * u.deg, rtol=0.05)
     assert u.isclose(ang_res[1], TRUE_RES_2 * u.deg, rtol=0.05)
@@ -68,14 +68,14 @@ def test_angular_resolution(unit):
     # 2 sigma coverage interval
     quantile = norm(0, 1).cdf(2) - norm(0, 1).cdf(-2)
     table = angular_resolution(events, bins, quantile=quantile)
-    ang_res = table["containment_quantile_95"].to(u.deg)
+    ang_res = table["angular_resolution_95"].to(u.deg)
     assert len(ang_res) == 2
     assert u.isclose(ang_res[0], 2 * TRUE_RES_1 * u.deg, rtol=0.05)
     assert u.isclose(ang_res[1], 2 * TRUE_RES_2 * u.deg, rtol=0.05)
 
     # 25%, 50%, 90% coverage interval
     table = angular_resolution(events, bins, quantile=[0.25, 0.5, 0.9])
-    cov_25 = table["containment_quantile_25"].to(u.deg)
+    cov_25 = table["angular_resolution_25"].to(u.deg)
     assert len(cov_25) == 2
     assert u.isclose(
         cov_25[0], norm(0, TRUE_RES_1).interval(0.25)[1] * u.deg, rtol=0.05
@@ -84,10 +84,10 @@ def test_angular_resolution(unit):
         cov_25[1], norm(0, TRUE_RES_2).interval(0.25)[1] * u.deg, rtol=0.05
     )
 
-    cov_50 = table["containment_quantile_50"].to(u.deg)
+    cov_50 = table["angular_resolution_50"].to(u.deg)
     assert u.isclose(cov_50[0], norm(0, TRUE_RES_1).interval(0.5)[1] * u.deg, rtol=0.05)
     assert u.isclose(cov_50[1], norm(0, TRUE_RES_2).interval(0.5)[1] * u.deg, rtol=0.05)
 
-    cov_90 = table["containment_quantile_90"].to(u.deg)
+    cov_90 = table["angular_resolution_90"].to(u.deg)
     assert u.isclose(cov_90[0], norm(0, TRUE_RES_1).interval(0.9)[1] * u.deg, rtol=0.05)
     assert u.isclose(cov_90[1], norm(0, TRUE_RES_2).interval(0.9)[1] * u.deg, rtol=0.05)