Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time
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arXiv
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| Natura: | Preprint |
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2025
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| author | Merritt, Stephanie R. Fedorets, Grigori Schwamb, Megan E. Cornwall, Samuel Bernardinelli, Pedro H. Juric, Mario Holman, Matthew J. Kurlander, Jacob A. Eggl, Siegfried Oldag, Drew West, Maxine Kubica, Jeremy Murtagh, Joseph Jones, R. Lynne Yoachim, Peter Lyttle, Ryan R. Kelley, Michael S. P. Moeyens, Joachim Kiker, Kathleen Naidu, Shantanu P. Snodgrass, Colin Matthews, Shannon M. Chandler, Colin Orion |
| author_facet | Merritt, Stephanie R. Fedorets, Grigori Schwamb, Megan E. Cornwall, Samuel Bernardinelli, Pedro H. Juric, Mario Holman, Matthew J. Kurlander, Jacob A. Eggl, Siegfried Oldag, Drew West, Maxine Kubica, Jeremy Murtagh, Joseph Jones, R. Lynne Yoachim, Peter Lyttle, Ryan R. Kelley, Michael S. P. Moeyens, Joachim Kiker, Kathleen Naidu, Shantanu P. Snodgrass, Colin Matthews, Shannon M. Chandler, Colin Orion |
| contents | The upcoming Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory is expected to revolutionize solar system astronomy. Unprecedented in scale, this ten-year wide-field survey will collect billions of observations and discover a predicted $\sim$5 million new solar system objects. Like all astronomical surveys, its results will be affected by a complex system of intertwined detection biases. Survey simulators have long been used to forward-model the effects of these biases on a given population, allowing for a direct comparison to real discoveries. However, the scale and tremendous scope of the LSST requires the development of new tools. In this paper we present Sorcha, an open-source survey simulator written in Python. Designed with the scale of LSST in mind, Sorcha is a comprehensive survey simulator to cover all solar system small-body populations. Its flexible, modular design allows Sorcha to be easily adapted to other surveys by the user. The simulator is built to run both locally and on high-performance computing (HPC) clusters, allowing for repeated simulation of millions to billions of objects (both real and synthetic). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_02804 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time Merritt, Stephanie R. Fedorets, Grigori Schwamb, Megan E. Cornwall, Samuel Bernardinelli, Pedro H. Juric, Mario Holman, Matthew J. Kurlander, Jacob A. Eggl, Siegfried Oldag, Drew West, Maxine Kubica, Jeremy Murtagh, Joseph Jones, R. Lynne Yoachim, Peter Lyttle, Ryan R. Kelley, Michael S. P. Moeyens, Joachim Kiker, Kathleen Naidu, Shantanu P. Snodgrass, Colin Matthews, Shannon M. Chandler, Colin Orion Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics The upcoming Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory is expected to revolutionize solar system astronomy. Unprecedented in scale, this ten-year wide-field survey will collect billions of observations and discover a predicted $\sim$5 million new solar system objects. Like all astronomical surveys, its results will be affected by a complex system of intertwined detection biases. Survey simulators have long been used to forward-model the effects of these biases on a given population, allowing for a direct comparison to real discoveries. However, the scale and tremendous scope of the LSST requires the development of new tools. In this paper we present Sorcha, an open-source survey simulator written in Python. Designed with the scale of LSST in mind, Sorcha is a comprehensive survey simulator to cover all solar system small-body populations. Its flexible, modular design allows Sorcha to be easily adapted to other surveys by the user. The simulator is built to run both locally and on high-performance computing (HPC) clusters, allowing for repeated simulation of millions to billions of objects (both real and synthetic). |
| title | Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time |
| topic | Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2506.02804 |