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docs: Clarify adapt-image signal-to-noise return values - #644

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Jammy2211 merged 1 commit into
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feature/over-sample-snr-helper
Oct 2, 2026
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Jammy2211 merged 1 commit into
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feature/over-sample-snr-helper

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Summary

Clarify that galaxy_name_image_dict_via_result_from returns subtracted signal-to-noise maps by default and model images when use_model_images=True. Document the existing flooring in both modes so callers do not divide S/N by noise again.

Part of PyAutoLabs/PyAutoArray#602; companion to the direct S/N over-sampling helper.

API Changes

None — documentation only; behavior is unchanged.

Test Plan

  • Full suite: PyAutoGalaxy: 1,307 passed, 0 failed (46 warnings).
  • Heart: GREEN, score 100.

Generated by the PyAutoLabs agent workflow.

@Jammy2211

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Companion helper PR: PyAutoLabs/PyAutoArray#606. Tracking issue: PyAutoLabs/PyAutoArray#602.

@Jammy2211
Jammy2211 merged commit 9daa042 into main Oct 2, 2026
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Jammy2211 deleted the feature/over-sample-snr-helper branch October 2, 2026 11:43
@Jammy2211 Jammy2211 removed the pending-release PR queued for the next release build label Oct 7, 2026
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