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docs: introduce subhalo detection science and illustration - #827
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This was referenced Nov 12, 2026
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Summary
Introduce subhalo detection through its scientific use cases: invisible halo searches, arc anomalies and dark matter samples. Link sensitivity mapping and the example 54-lens paper early, preserve teaching detail, and add the approved conceptual arc-perturbation illustration.
API Changes
None. Only the Dark Matter Subhalos overview and illustration/provenance assets.
Validation
Fresh checks passed: syntax, executable AST and generated notebook code-cell parity, exact approved feature text (apart from image path), identical approved image assets, local image links, navigator/banner lint, search-memory check, size guard, whitespace and focused Sphinx build with warnings treated as errors. Full numerical/smoke suites were not rerun for this prose/assets-only patch; the preceding pixelization PRs passed all 12 exact-head CI jobs. No API or numerical changes.
Related: PyAutoLabs/autolens_workspace#632. Review PR only; no merge authorized.
Development-only Heart RED override
Human authorization (2026-11-12): “I approve, contnue”, in direct response to the #632 development-only override request for commit, push and both review PRs. No merge authorized.
Exact RED reasons (2026-11-12T11:54:58.076217+00:00):
PyAutoLens: on branch feature/subhalo-detection-review (not main)PyAutoLens: 2 uncommitted source change(s)Fresh checks passed: syntax, executable AST and generated notebook code-cell parity, exact approved feature text (apart from image path), identical approved image assets, local image links, navigator/banner lint, search-memory check, size guard, whitespace and focused Sphinx build with warnings treated as errors. Full numerical/smoke suites were not rerun for this prose/assets-only patch; the preceding pixelization PRs passed all 12 exact-head CI jobs. No API or numerical changes.
No release, CI bypass or merge.
Companion workspace PR: PyAutoLabs/autolens_workspace#633