English

SLSim: a strong lensing population simulation package

Cosmology and Nongalactic Astrophysics 2026-03-19 v1

Abstract

Gravitational lensing offers unique insights into cosmology by bending light around massive objects. Strong gravitational lensing, in particular, produces magnified and often multiple images of distant sources, crucial for precise cosmological measurements and understanding the distribution of dark matter in the universe. Current studies are limited by the number of strong gravitational lenses. From upcoming cosmological surveys, we anticipate observing a several orders of magnitude increase in the number of lenses, for both static and transient phenomena. However, detecting and analyzing these events from vast surveys like Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) presents significant challenges. To prepare for these challenges, we introduce SLSim, a versatile simulation tool tailored for the Vera C. Rubin Observatory. SLSim integrates advanced astrophysical models with computational efficiency to generate synthetic strong lens populations under realistic observational conditions. SLSim simulates static and variable lensing scenarios, essential for cosmological studies, training and testing lens search and data analysis pipelines. This paper details SLSim,'s design and implementation, emphasizing its modularity and capabilities across various astrophysical regimes. Validation against observational data and existing simulations confirms SLSim's accuracy in reproducing observed lensing phenomena. SLSim is publicly available at https://github.com/LSST-strong-lensing/slsim, and we anticipate continued development and expansion of its capabilities. Users are encouraged to check the repository for updates and to contribute to ongoing community efforts in strong lensing simulations.

Keywords

Cite

@article{arxiv.2603.17138,
  title  = {SLSim: a strong lensing population simulation package},
  author = {Narayan Khadka and Simon Birrer and Henry Best and Paras Sharma and Katsuya T. Abe and Xianzhe Tang and Carly Mistick and Felipe Urcelay and Emrecan M. Sonmez and Nikki Arendse and Sydney Erickson and Jacob O. Hjortlund and Phil Holloway and Alan Huang and Rahul Karthik and Mia Lamontagne and Vibhore Negi and Justin R. Pierel and Bruno Sanchez and Aysu Ece Saricaoglu and Anowar Shajib and Yixuan Shao and Padma Venkatraman and Bryce Wedig and Aadya Agrawal and Timo Anguita and Pedro Bessa and Clecio R. Bom and Sofia Castillo and Thomas Collett and Tansu Daylan and Steven Dillmann and Margherita Grespan and Erin E. Hayes and Remy Joseph and Richard Kessler and Tian Li and Phil Marshall and Anupreeta More and Veronica Motta and Gautham Narayan and Matt O'Dowd and Masamune Oguri and Aprajita Verma and Giorgos Vernardos and the Strong Lensing Science Collaboration and the LSST Dark Energy Science Collaboration},
  journal= {arXiv preprint arXiv:2603.17138},
  year   = {2026}
}

Comments

36 pages, 16 figures

R2 v1 2026-07-01T11:25:11.450Z