feat: scripts/weak/modeling.py — weak lensing model-fit tutorial#241
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- Nautilus fit of an Isothermal mass model to the simulated WeakDataset via the new al.AnalysisWeak (PyAutoLens feature/weak-modeling), completing the simulate -> fit -> model core workflow of the weak-lensing series - Auto-simulates dataset/weak/simple if missing, mirroring imaging/modeling.py - Mirrors the new weak_dataset / fit_weak visualize/plots.yaml sections into the workspace config Step 4 of the weak-lensing series (PyAutoLabs/PyAutoLens#579). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Summary
Adds
scripts/weak/modeling.py— the weak-lensing model-fit tutorial completing the simulate → fit → model core workflow of the series — and mirrors the newweak_dataset/fit_weakvisualize/plots.yamlsections into the workspace config.Companion to PyAutoLabs/PyAutoLens#580 (
al.AnalysisWeak). Library-first merge gate: merge the library PR before this one. Tracking issue: PyAutoLabs/PyAutoLens#579.Scripts Changed
scripts/weak/modeling.py(new) — Nautilus Isothermal fit to the simulatedWeakDatasetviaal.AnalysisWeak; auto-simulates the dataset if missing; validated end-to-end (recoveredeinstein_radius = 1.556 (1.476–1.631)vs truth 1.6, ~7 min CPU; the search's ownVisualizerWeakproduced the on-the-fly subplots).config/visualize/plots.yaml— addsweak_dataset/fit_weaksections mirroring the new packaged defaults.Validation checklist (--auto run — plan was not pre-approved)
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