Replace trailing sub_size 1 with 2 in adaptive over-sampling schemes

Adaptive schemes ([4,2,1] / [8,4,1] with radial_list=[0.3,0.6]) dropped to
sub_size 1 beyond 0.6", evaluating the lensed source's arcs with no
over-sampling. With MGE sources this aliases compact Gaussians and degrades
gradient-based searches. Every trailing 1 becomes 2; simulators ([32,8,2])
unchanged. Guide prose updated to the MGE-era justification.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

Author: 2 people

notebooks/chapter_2_modeling/tutorial_2_practicalities.ipynb

@@ -221,7 +221,7 @@
    "source": [
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",

notebooks/chapter_2_modeling/tutorial_3_realism_and_complexity.ipynb

@@ -178,7 +178,7 @@
    "source": [
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",

notebooks/chapter_2_modeling/tutorial_4_dealing_with_failure.ipynb

@@ -179,7 +179,7 @@
    "source": [
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",

notebooks/chapter_2_modeling/tutorial_5_linear_profiles.ipynb

@@ -193,7 +193,7 @@
    "source": [
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",

notebooks/chapter_2_modeling/tutorial_6_masking.ipynb

@@ -171,7 +171,7 @@
    "source": [
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",

notebooks/chapter_2_modeling/tutorial_7_results.ipynb

@@ -131,7 +131,7 @@
     "\n",
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",

notebooks/chapter_3_search_chaining/tutorial_1_search_chaining.ipynb

@@ -166,7 +166,7 @@
     "\n",
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",

notebooks/chapter_3_search_chaining/tutorial_2_prior_passing.ipynb

@@ -145,7 +145,7 @@
     "\n",
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",

notebooks/chapter_3_search_chaining/tutorial_3_x2_galaxies.ipynb

@@ -168,7 +168,7 @@
     "\n",
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, -1.0), (0.0, 1.0)],\n",
     ")\n",

notebooks/chapter_4_pixelizations/tutorial_5_model_fit.ipynb

@@ -149,7 +149,7 @@
     "\n",
     "over_sample_size = ag.util.over_sample.over_sample_size_via_radial_bins_from(\n",
     "    grid=dataset.grid,\n",
-    "    sub_size_list=[8, 4, 1],\n",
+    "    sub_size_list=[8, 4, 2],\n",
     "    radial_list=[0.3, 0.6],\n",
     "    centre_list=[(0.0, 0.0)],\n",
     ")\n",