SLSim: a strong lensing population simulation package
Narayan Khadka, Simon Birrer, Henry Best, Paras Sharma, Katsuya T. Abe, Xianzhe Tang, Carly Mistick, Felipe Urcelay, Emrecan M. Sonmez, Nikki Arendse, Sydney Erickson, Jacob O. Hjortlund, Phil Holloway, Alan Huang, Rahul Karthik, Mia Lamontagne, Vibhore Negi, Justin R. Pierel

TL;DR
SLSim is a versatile, efficient simulation tool designed to generate realistic synthetic strong gravitational lens populations, aiding upcoming large-scale surveys and research in cosmology and dark matter distribution.
Contribution
This paper introduces SLSim, a new modular simulation package tailored for the Vera C. Rubin Observatory, capable of modeling static and variable lensing scenarios with validated accuracy.
Findings
SLSim accurately reproduces observed lensing phenomena.
The tool is computationally efficient for large-scale simulations.
SLSim is publicly available for community use and development.
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…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Radio Astronomy Observations and Technology
