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nss-test-optional-dep-skip

  • issue: PyAutoLabs/PyAutoFit#1309
  • prompt: PyAutoPrompt/issued/nss_test_optional_dep_skip.md
  • planned: 2026-06-01
  • classification: library (test-only)
  • suggested-branch: feature/nss-test-optional-dep-skip
  • blocked-by: analysis-shared-state (using PyAutoFit)
  • affected-repos:
    • PyAutoFit

jax-point-source-point-smoke-sentinel

  • prompt: PyAutoPrompt/issued/jax_point_source_point_smoke_sentinel.md

  • status: planned

  • filed: 2026-05-21

  • classification: library (triage; routing TBD by bisect)

  • suggested-branch: feature/jax-point-source-point-smoke-sentinel

  • summary: | Pre-existing regression surfaced during fast-viz-zero-contour-perf smoke. autolens_workspace_test/scripts/jax_likelihood_functions/point_source/point.py fails its hardcoded -83.38049778 literal — fitness._vmap returns the -1e99 non-finite-likelihood sentinel from FitPositionsImagePairAll on canonical main of all three libraries. Last known good: 2026-05-08 (autolens_workspace_test@362cfa8 rebaseline). Sibling JAX point-source profiling drift already tracked as PyAutoLens#514; this is a more severe symptom on a different file — held as two hypotheses (same root cause / independent regression) for triage.

    Affected repos (when resumed): - PyAutoLens (likely primary — PointSolver / FitPositionsImagePairAll) - PyAutoGalaxy or PyAutoArray (possible — bisect will say) - autolens_workspace_test (literal rebaseline OR no change, depending on outcome)

    Sibling smoke scripts to check while triaging: image_plane.py, source_plane.py in the same dir — they share the seed dataset.

nfw-truncated-potential-accuracy

  • prompt: PyAutoPrompt/autogalaxy/nfw_truncated_potential_accuracy.md
  • status: planned
  • filed: 2026-06-05
  • classification: library (accuracy bug)
  • suggested-branch: feature/nfw-truncated-potential-accuracy
  • summary: | Pre-existing accuracy bug surfaced while shipping dark-matter-potentials. NFWTruncatedSph.potential_2d_from (MGE) fails grad(psi)=alpha self- consistency in autolens_workspace_test/scripts/mass/dark.py (med 7.1e-2 vs ~8e-4 for every other NFW/gNFW/cNFW variant). Deflections pass, only the potential is off — likely the MGE sigma range (radii_max = truncation_radius
      1. is too narrow. Reproduce on clean main first.
  • affected-repos:
    • PyAutoGalaxy

piemass-potential

  • prompt: PyAutoPrompt/autogalaxy/piemass_potential.md
  • status: planned
  • filed: 2026-06-05
  • classification: library (missing feature)
  • suggested-branch: feature/piemass-potential
  • summary: | PIEMass (Lenstool-ported PIE) has no potential_2d_from, so it now raises a clean NotImplementedError (post dark-matter-potentials) and crashes tracer visualization (potential FITS extension) — same class as the original NFW bug, different profile. No MGE/CSE decomposition hook exists; needs an analytic port (Kassiola & Kovner 1993, or the dPIEMass r_s->inf limit) or a new convergence-MGE hook. Validate via grad(psi)=alpha self-consistency.
  • affected-repos:
    • PyAutoGalaxy