Type: docs Target: workspaces Repos:
- autolens_workspace
- autogalaxy_workspace Difficulty: small Autonomy: supervised Priority: normal Status: formalised Filed: 2026-07-24 (backfilled from git)
The rectangular-mesh consolidation added an Enzi et al. 2026 (arXiv:2606.30620,
RTU grids) citation requirement to the docs citations pages
(PyAutoLens#644 / PyAutoGalaxy#520) and to the HowToLens/HowToGalaxy pixelizations-chapter (chapter 3 since the 2026-08 restructure)
tutorials (HowToLens#53 / HowToGalaxy#43). The remaining piece — a short
paper-link paragraph in the user-workspace pixelization examples — was
blocked at wrap-up time because autolens_workspace / autogalaxy_workspace
were claimed by the env-declaration-docstring-form task
(PyAutoHands#189). File issued when that claim releases.
Add a short docstring paragraph where each rectangular pixelization example
first introduces RectangularAdaptDensity / RectangularAdaptImage:
scripts/*/features/pixelization/*.py, scripts/*/features/pixelization/likelihood_function.py,
and the SLaM pixelization guides (grep RectangularAdapt in both workspaces).
Wording (mirror the HowTo ch4 paragraph already merged): the adaptive
rectangular mesh implements the ray-guided transformed uniform (RTU) grid
formulation of Enzi et al. (2026), https://arxiv.org/abs/2606.30620, which
should be cited when using this mesh; note the paper pairs the RTU grid with a
Gaussian-process source prior whereas these examples use PyAutoLens's own
regularization schemes (reg.Constant / reg.Adapt).
Scripts only; notebooks regenerate at release (regen + navigator catalogue for any HowTo/workspace edits). Tutorial prose = judgment tier.
- Serialise on autolens_workspace/autogalaxy_workspace if still claimed.
- Docs-only; no library or model changes.