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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| Accès en ligne: | https://arxiv.org/abs/2603.17138 |
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| _version_ | 1866912972221186048 |
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| author | Khadka, Narayan Birrer, Simon Best, Henry Sharma, Paras Abe, Katsuya T. Tang, Xianzhe Mistick, Carly Urcelay, Felipe Sonmez, Emrecan M. Arendse, Nikki Erickson, Sydney Hjortlund, Jacob O. Holloway, Phil Huang, Alan Karthik, Rahul Lamontagne, Mia Negi, Vibhore Pierel, Justin R. Sanchez, Bruno Saricaoglu, Aysu Ece Shajib, Anowar Shao, Yixuan Venkatraman, Padma Wedig, Bryce Agrawal, Aadya Anguita, Timo Bessa, Pedro Bom, Clecio R. Castillo, Sofia Collett, Thomas Daylan, Tansu Dillmann, Steven Grespan, Margherita Hayes, Erin E. Joseph, Remy Kessler, Richard Li, Tian Marshall, Phil More, Anupreeta Motta, Veronica Narayan, Gautham O'Dowd, Matt Oguri, Masamune Verma, Aprajita Vernardos, Giorgos Collaboration, the Strong Lensing Science Collaboration, the LSST Dark Energy Science |
| author_facet | Khadka, Narayan Birrer, Simon Best, Henry Sharma, Paras Abe, Katsuya T. Tang, Xianzhe Mistick, Carly Urcelay, Felipe Sonmez, Emrecan M. Arendse, Nikki Erickson, Sydney Hjortlund, Jacob O. Holloway, Phil Huang, Alan Karthik, Rahul Lamontagne, Mia Negi, Vibhore Pierel, Justin R. Sanchez, Bruno Saricaoglu, Aysu Ece Shajib, Anowar Shao, Yixuan Venkatraman, Padma Wedig, Bryce Agrawal, Aadya Anguita, Timo Bessa, Pedro Bom, Clecio R. Castillo, Sofia Collett, Thomas Daylan, Tansu Dillmann, Steven Grespan, Margherita Hayes, Erin E. Joseph, Remy Kessler, Richard Li, Tian Marshall, Phil More, Anupreeta Motta, Veronica Narayan, Gautham O'Dowd, Matt Oguri, Masamune Verma, Aprajita Vernardos, Giorgos Collaboration, the Strong Lensing Science Collaboration, the LSST Dark Energy Science |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_17138 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | SLSim: a strong lensing population simulation package Khadka, Narayan Birrer, Simon Best, Henry Sharma, Paras Abe, Katsuya T. Tang, Xianzhe Mistick, Carly Urcelay, Felipe Sonmez, Emrecan M. Arendse, Nikki Erickson, Sydney Hjortlund, Jacob O. Holloway, Phil Huang, Alan Karthik, Rahul Lamontagne, Mia Negi, Vibhore Pierel, Justin R. Sanchez, Bruno Saricaoglu, Aysu Ece Shajib, Anowar Shao, Yixuan Venkatraman, Padma Wedig, Bryce Agrawal, Aadya Anguita, Timo Bessa, Pedro Bom, Clecio R. Castillo, Sofia Collett, Thomas Daylan, Tansu Dillmann, Steven Grespan, Margherita Hayes, Erin E. Joseph, Remy Kessler, Richard Li, Tian Marshall, Phil More, Anupreeta Motta, Veronica Narayan, Gautham O'Dowd, Matt Oguri, Masamune Verma, Aprajita Vernardos, Giorgos Collaboration, the Strong Lensing Science Collaboration, the LSST Dark Energy Science Cosmology and Nongalactic Astrophysics 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. |
| title | SLSim: a strong lensing population simulation package |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2603.17138 |