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feat: rectangular mesh split follow-up — RTU/Bilinear prior configs + docs
Downstream of PyAutoArray#462 (rectangular Bilinear/RTU mesh split, task PyAutoArray#461): - Packaged prior defaults: config/priors/mesh/rectangular_adapt_*.yaml -> rectangular_rtu_adapt_*.yaml plus new rectangular_bilinear_adapt_*.yaml (same priors — the Bilinear meshes have no kernel hyperparameters). - docs/api/pixelization.rst lists all four adaptive rectangular classes. - exc.py docstring updated to the RTU name. - test config pixelizations.json keys: the stale "rectangular.<Class>" module-prefixed keys never resolved (autonerves matches on the real module path via endswith); rekeyed to rectangular_bilinear_adapt_density.RectangularBilinearAdaptDensity and rectangular_rtu_adapt_density.RectangularRTUAdaptDensity. Full test suite: 1102 passed against merged PyAutoArray main. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WtMqU3JfmyJh8GvB7jT4Et
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‎autogalaxy/config/priors/mesh/rectangular_bilinear_adapt_density.yaml‎

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RectangularBilinearAdaptDensity:
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shape_0:
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type: Uniform
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lower_limit: 20.0
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upper_limit: 45.0
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width_modifier:
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type: Absolute
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value: 8.0
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limits:
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lower: 3.0
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upper: inf
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shape_1:
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type: Uniform
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lower_limit: 20.0
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upper_limit: 45.0
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width_modifier:
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type: Absolute
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value: 8.0
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limits:
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lower: 3.0
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upper: inf

‎autogalaxy/config/priors/mesh/rectangular_bilinear_adapt_image.yaml‎

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

autogalaxy/config/priors/mesh/rectangular_adapt_density.yaml renamed to autogalaxy/config/priors/mesh/rectangular_rtu_adapt_density.yaml

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RectangularAdaptDensity:
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RectangularRTUAdaptDensity:
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shape_0:
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type: Uniform
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lower_limit: 20.0

autogalaxy/config/priors/mesh/rectangular_adapt_image.yaml renamed to autogalaxy/config/priors/mesh/rectangular_rtu_adapt_image.yaml

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RectangularAdaptImage:
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RectangularRTUAdaptImage:
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shape_0:
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type: Uniform
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lower_limit: 20.0

‎autogalaxy/exc.py‎

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"""
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Raises exceptions associated with the `inversion/pixelization` modules and `Pixelization` classes.
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For example if a `RectangularAdaptDensity` mesh has dimensions below 3x3.
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For example if a `RectangularRTUAdaptDensity` mesh has dimensions below 3x3.
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This exception overwrites `autoarray.exc.PixelizationException` in order to add a `FitException`. This means that
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if this exception is raised during a model-fit in the analysis class's `log_likelihood_function` that model

‎docs/api/pixelization.rst‎

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:template: custom-class-template.rst
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:recursive:
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RectangularAdaptDensity
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RectangularBilinearAdaptDensity
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RectangularBilinearAdaptImage
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RectangularRTUAdaptDensity
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RectangularRTUAdaptImage
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Delaunay
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Regularization [ag.reg]

‎test_autogalaxy/profiles/config/summary/priors/pixelizations.json‎

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{
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"rectangular.RectangularAdaptDensity": {
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"Voronoi": {
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"pixels": {
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"type": "Uniform",
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"lower_limit": 0.0,
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"upper_limit": 1.0
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}
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},
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"rectangular_bilinear_adapt_density.RectangularBilinearAdaptDensity": {
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"shape_0": {
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"type": "Uniform",
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"lower_limit": 10.0,
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"upper_limit": 30.0
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}
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},
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"Voronoi": {
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"pixels": {
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"rectangular_rtu_adapt_density.RectangularRTUAdaptDensity": {
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"shape_0": {
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"type": "Uniform",
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"lower_limit": 0.0,
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"upper_limit": 1.0
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"lower_limit": 10.0,
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"upper_limit": 30.0
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},
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"shape_1": {
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"type": "Uniform",
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"lower_limit": 10.0,
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"upper_limit": 30.0
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}
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}
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}
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}

‎test_autogalaxy/profiles/mass/config/summary/priors/pixelizations.json‎

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{
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"rectangular.RectangularAdaptDensity": {
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"Voronoi": {
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"pixels": {
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"type": "Uniform",
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"lower_limit": 0.0,
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"upper_limit": 1.0
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}
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},
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"rectangular_bilinear_adapt_density.RectangularBilinearAdaptDensity": {
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"shape_0": {
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"type": "Uniform",
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"lower_limit": 10.0,
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"upper_limit": 30.0
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}
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},
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"Voronoi": {
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"pixels": {
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"rectangular_rtu_adapt_density.RectangularRTUAdaptDensity": {
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"shape_0": {
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"type": "Uniform",
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"lower_limit": 0.0,
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"upper_limit": 1.0
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"lower_limit": 10.0,
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"upper_limit": 30.0
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},
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"shape_1": {
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"type": "Uniform",
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"lower_limit": 10.0,
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"upper_limit": 30.0
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}
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}
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}
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}

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