diff --git a/docs/general/citations.md b/docs/general/citations.md index 92c3cd8b1..1ebf5b0c8 100644 --- a/docs/general/citations.md +++ b/docs/general/citations.md @@ -83,6 +83,32 @@ also be cited: The package is available at . +## Rectangular Mesh (Pixelized Source Reconstructions) + +If you reconstruct a source using the adaptive rectangular meshes (`RectangularAdaptDensity` or +`RectangularAdaptImage`), you **must cite** the following paper under citation +key `Enzi2026`. The mesh's adaptive coordinate transform implements the ray-guided transformed uniform (RTU) +grid formulation this paper introduces, which is what makes the pixelization adaptive and fully +auto-differentiable: + +```bibtex +@article{Enzi2026, + author = {Enzi, Wolfgang J. R. and Krawczyk, Coleman M. and Li, Tian and Collett, Thomas E.}, + title = {Gaussian processes on ray-guided transformed uniform grids for fast, flexible, and auto-differentiable adaptive source reconstruction in lens modelling}, + journal = {MNRAS, submitted}, + eprint = {2606.30620}, + archivePrefix = {arXiv}, + primaryClass = {astro-ph.GA}, + year = {2026}, + url = {https://arxiv.org/abs/2606.30620}, +} +``` + +Note that **PyAutoLens** pairs the RTU grid with its own regularization schemes (e.g. `reg.Constant`, +`reg.Adapt`) rather than the Gaussian-process source prior used in the paper, so quantitative results are not +directly comparable between the two implementations. The `RectangularUniform` mesh performs no RTU transform, +so this citation is not required when only the uniform mesh is used. + ## Dynesty If you used the nested sampling algorithm Dynesty, please follow the citation instructions [on the dynesty readthedocs](https://dynesty.readthedocs.io/en/latest/references.html). diff --git a/files/citations.bib b/files/citations.bib index 821b40653..7f329b54a 100644 --- a/files/citations.bib +++ b/files/citations.bib @@ -454,3 +454,14 @@ @software{jax_zero_contour url = {https://doi.org/10.5281/zenodo.15730415}, year = {2025} } + +@article{Enzi2026, + author = {Enzi, Wolfgang J. R. and Krawczyk, Coleman M. and Li, Tian and Collett, Thomas E.}, + title = {Gaussian processes on ray-guided transformed uniform grids for fast, flexible, and auto-differentiable adaptive source reconstruction in lens modelling}, + journal = {MNRAS, submitted}, + eprint = {2606.30620}, + archivePrefix = {arXiv}, + primaryClass = {astro-ph.GA}, + year = {2026}, + url = {https://arxiv.org/abs/2606.30620}, +}