The bibtex entries for PyAutoLens and its affiliated software packages can be found here, with example text for citing PyAutoLens in .tex format here format here and .md format here. As shown in the examples, we would greatly appreciate it if you mention PyAutoLens by name and include a link to our GitHub page!
PyAutoLens is published in the Journal of Open Source Software and its
entry in the above .bib file is under the citation key pyautolens. Please also cite the MNRAS AutoLens
papers (https://academic.oup.com/mnras/article/452/3/2940/1749640 and https://academic.oup.com/mnras/article-abstract/478/4/4738/5001434?redirectedFrom=fulltext) which are included
under the citation keys Nightingale2015 and Nightingale2018.
You should also specify the non-linear search(es) you use in your analysis (e.g. Dynesty, Emcee, PySwarms, etc) in the main body of text, and delete as appropriate any packages your analysis did not use. The citations.bib file includes the citation key for all of these projects.
If you use decomposed mass models (e.g. stellar mass models like an Sersic or dark matter models like
an NFW) please cite the following paper https://arxiv.org/abs/2106.11464 under
citation key Oguri2021. Our deflection angle calculations are based on this method.
If you specifically use a decomposed mass model with the GeneralizedNFW please cite the following paper https://academic.oup.com/mnras/article/488/1/1387/5526256 under
citation key Anowar2019.
The citations.bib file above also includes my work on using strong lensing to study galaxy structure. If you're feeling kind, please go ahead and stick a citation in your introduction using citep{Nightingale2019} or [@Nightingale2019] ;).