Rectangular mesh split API update: RectangularAdapt* → RectangularBilinearAdapt*

config/priors/mesh/rectangular_bilinear_adapt_density.yaml

@@ -0,0 +1,21 @@
+RectangularBilinearAdaptDensity:
+  shape_0:
+    type: Uniform
+    lower_limit: 20.0
+    upper_limit: 45.0
+    width_modifier:
+      type: Absolute
+      value: 8.0
+    limits:
+      lower: 3.0
+      upper: inf
+  shape_1:
+    type: Uniform
+    lower_limit: 20.0
+    upper_limit: 45.0
+    width_modifier:
+      type: Absolute
+      value: 8.0
+    limits:
+      lower: 3.0
+      upper: inf

config/priors/mesh/rectangular_bilinear_adapt_image.yaml

@@ -0,0 +1,40 @@
+RectangularBilinearAdaptImage:
+  shape_0:
+    type: Uniform
+    lower_limit: 20.0
+    upper_limit: 45.0
+    width_modifier:
+      type: Absolute
+      value: 8.0
+    limits:
+      lower: 3.0
+      upper: inf
+  shape_1:
+    type: Uniform
+    lower_limit: 20.0
+    upper_limit: 45.0
+    width_modifier:
+      type: Absolute
+      value: 8.0
+    limits:
+      lower: 3.0
+      upper: inf
+  weight_power:
+    type : Uniform
+    lower_limit: 0.0
+    upper_limit: 10.0
+    width_modifier:
+      type: Absolute
+      value: 2.0
+    limits:
+      lower: -100.0
+      upper: 100.0
+  weight_floor:
+    type: LogUniform
+    lower_limit: 0.00001
+    upper_limit: 1.0
+    width_modifier:
+      type: Absolute
+    limits:
+      lower: 0.0
+      upper: inf

config/priors/mesh/rectangular_adapt_density.yaml → config/priors/mesh/rectangular_rtu_adapt_density.yaml

@@ -1,4 +1,4 @@
-RectangularAdaptDensity:
+RectangularRTUAdaptDensity:
   shape_0:
     type: Uniform
     lower_limit: 20.0

config/priors/mesh/rectangular_adapt_image.yaml → config/priors/mesh/rectangular_rtu_adapt_image.yaml

@@ -1,4 +1,4 @@
-RectangularAdaptImage:
+RectangularRTUAdaptImage:
   shape_0:
     type: Uniform
     lower_limit: 20.0

scripts/imaging/jax_likelihood/rectangular.py

@@ -4,7 +4,7 @@
 
 Verify that JAX can compute the log-likelihood of an ``Imaging`` fit for an
 autogalaxy model that uses an adapt-image rectangular pixelization
-(``RectangularAdaptImage`` + ``Adapt`` regularization).
+(``RectangularBilinearAdaptImage`` + ``Adapt`` regularization).
 
 Two paths are exercised:
 
@@ -83,7 +83,7 @@
 Single galaxy with an adapt-image rectangular pixelization. The mesh shape is
 fixed (28 x 28) per the JAX static-shape requirement.
 """
-mesh = ag.mesh.RectangularAdaptImage(shape=(28, 28), weight_power=1.0)
+mesh = ag.mesh.RectangularBilinearAdaptImage(shape=(28, 28), weight_power=1.0)
 regularization = ag.reg.Adapt()
 pixelization = ag.Pixelization(mesh=mesh, regularization=regularization)
 

scripts/imaging/jax_likelihood/rectangular_mge.py

@@ -4,7 +4,7 @@
 
 Two-galaxy autogalaxy model: a foreground galaxy with an MGE bulge and a
 second galaxy with an adapt-image rectangular pixelization
-(``RectangularAdaptImage`` + ``Constant`` regularization).
+(``RectangularBilinearAdaptImage`` + ``Constant`` regularization).
 
 This is the multi-pixelization regression case the path-tuple library fix
 was made for: prior to the fix the autolens fallback would silently return
@@ -108,7 +108,7 @@
 
 galaxy_0 = af.Model(ag.Galaxy, redshift=0.5, bulge=bulge)
 
-mesh = ag.mesh.RectangularAdaptImage(shape=(28, 28))
+mesh = ag.mesh.RectangularBilinearAdaptImage(shape=(28, 28))
 regularization = ag.reg.Constant(coefficient=1.0)
 pixelization = ag.Pixelization(mesh=mesh, regularization=regularization)
 

scripts/imaging/visualization/visualization.py

@@ -15,7 +15,7 @@
 
 2. ``visualize`` runs once per galaxy type, each writing into its own subfolder:
      visualization/parametric/   — Sersic light-profile galaxy
-     visualization/rectangular/  — RectangularAdaptImage pixelization
+     visualization/rectangular/  — RectangularBilinearAdaptImage pixelization
      visualization/delaunay/     — Delaunay pixelization
 
    Each subfolder contains only the per-run comparison plots:
@@ -117,7 +117,7 @@
 model_parametric = af.Collection(galaxies=af.Collection(galaxy=galaxy_parametric))
 
 # --- Rectangular pixelization ---
-mesh_rect = ag.mesh.RectangularAdaptImage(shape=(22, 22))
+mesh_rect = ag.mesh.RectangularBilinearAdaptImage(shape=(22, 22))
 reg_rect = ag.reg.Constant(coefficient=1.0)
 pix_rect = ag.Pixelization(mesh=mesh_rect, regularization=reg_rect)
 galaxy_rectangular = af.Model(ag.Galaxy, redshift=0.5, pixelization=pix_rect)

scripts/interferometer/jax_likelihood/rectangular.py

@@ -4,7 +4,7 @@
 
 Verify that JAX can compute the log-likelihood of an ``Interferometer`` fit for
 an autogalaxy model that uses an adapt-image rectangular pixelization
-(``RectangularAdaptImage`` + ``Adapt`` regularization).
+(``RectangularBilinearAdaptImage`` + ``Adapt`` regularization).
 
 Two paths are exercised:
 
@@ -86,7 +86,7 @@
 Single galaxy with an adapt-image rectangular pixelization. The mesh shape is
 fixed (28 x 28) per the JAX static-shape requirement.
 """
-mesh = ag.mesh.RectangularAdaptImage(shape=(28, 28), weight_power=1.0)
+mesh = ag.mesh.RectangularBilinearAdaptImage(shape=(28, 28), weight_power=1.0)
 regularization = ag.reg.Adapt()
 pixelization = ag.Pixelization(mesh=mesh, regularization=regularization)
 

scripts/interferometer/jax_likelihood/rectangular_mge.py

@@ -4,7 +4,7 @@
 
 Two-galaxy autogalaxy model: a foreground galaxy with an MGE bulge and a
 second galaxy with an adapt-image rectangular pixelization
-(``RectangularAdaptImage`` + ``Constant`` regularization).
+(``RectangularBilinearAdaptImage`` + ``Constant`` regularization).
 
 This is the multi-pixelization regression case the path-tuple library fix
 was made for: prior to the fix the fallback would silently return the wrong
@@ -103,7 +103,7 @@
 
 galaxy_0 = af.Model(ag.Galaxy, redshift=0.5, bulge=bulge)
 
-mesh = ag.mesh.RectangularAdaptImage(shape=(28, 28))
+mesh = ag.mesh.RectangularBilinearAdaptImage(shape=(28, 28))
 regularization = ag.reg.Constant(coefficient=1.0)
 pixelization = ag.Pixelization(mesh=mesh, regularization=regularization)
 

scripts/misc/aggregator/config/priors/mesh/rectangular_bilinear_adapt_density.yaml

@@ -0,0 +1,21 @@
+RectangularBilinearAdaptDensity:
+  shape_0:
+    type: Uniform
+    lower_limit: 20.0
+    upper_limit: 45.0
+    width_modifier:
+      type: Absolute
+      value: 8.0
+    limits:
+      lower: 3.0
+      upper: inf
+  shape_1:
+    type: Uniform
+    lower_limit: 20.0
+    upper_limit: 45.0
+    width_modifier:
+      type: Absolute
+      value: 8.0
+    limits:
+      lower: 3.0
+      upper: inf

scripts/misc/aggregator/config/priors/mesh/rectangular_bilinear_adapt_image.yaml

@@ -0,0 +1,40 @@
+RectangularBilinearAdaptImage:
+  shape_0:
+    type: Uniform
+    lower_limit: 20.0
+    upper_limit: 45.0
+    width_modifier:
+      type: Absolute
+      value: 8.0
+    limits:
+      lower: 3.0
+      upper: inf
+  shape_1:
+    type: Uniform
+    lower_limit: 20.0
+    upper_limit: 45.0
+    width_modifier:
+      type: Absolute
+      value: 8.0
+    limits:
+      lower: 3.0
+      upper: inf
+  weight_power:
+    type : Uniform
+    lower_limit: 0.0
+    upper_limit: 10.0
+    width_modifier:
+      type: Absolute
+      value: 2.0
+    limits:
+      lower: -100.0
+      upper: 100.0
+  weight_floor:
+    type: LogUniform
+    lower_limit: 0.00001
+    upper_limit: 1.0
+    width_modifier:
+      type: Absolute
+    limits:
+      lower: 0.0
+      upper: inf

scripts/misc/aggregator/config/priors/mesh/rectangular_adapt_density.yaml → scripts/misc/aggregator/config/priors/mesh/rectangular_rtu_adapt_density.yaml

@@ -1,4 +1,4 @@
-RectangularAdaptDensity:
+RectangularRTUAdaptDensity:
   shape_0:
     type: Uniform
     lower_limit: 20.0

scripts/misc/aggregator/config/priors/mesh/rectangular_adapt_image.yaml → scripts/misc/aggregator/config/priors/mesh/rectangular_rtu_adapt_image.yaml

@@ -1,4 +1,4 @@
-RectangularAdaptImage:
+RectangularRTUAdaptImage:
   shape_0:
     type: Uniform
     lower_limit: 20.0

scripts/multi_dataset/jax_likelihood/rectangular.py

@@ -4,7 +4,7 @@
 
 Verify that JAX can compute the log-likelihood of a multi-wavelength
 ``Imaging`` fit for an autogalaxy model using an adapt-image rectangular
-pixelization (``RectangularAdaptImage`` + ``Adapt`` regularization).
+pixelization (``RectangularBilinearAdaptImage`` + ``Adapt`` regularization).
 Two paths are exercised:
 
 1. ``fitness._vmap`` batch evaluation over a ``af.FactorGraphModel`` that
@@ -111,7 +111,7 @@
 """
 pixelization = af.Model(
     ag.Pixelization,
-    mesh=ag.mesh.RectangularAdaptImage(shape=mesh_shape, weight_power=1.0),
+    mesh=ag.mesh.RectangularBilinearAdaptImage(shape=mesh_shape, weight_power=1.0),
     regularization=ag.reg.Adapt,
 )
 

scripts/multi_dataset/jax_likelihood/rectangular_mge.py

@@ -116,7 +116,7 @@
 
 pixelization = af.Model(
     ag.Pixelization,
-    mesh=ag.mesh.RectangularAdaptImage(shape=mesh_shape, weight_power=1.0),
+    mesh=ag.mesh.RectangularBilinearAdaptImage(shape=mesh_shape, weight_power=1.0),
     regularization=ag.reg.Adapt,
 )