Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time

Abstract 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 10 yr wide-field survey will collect billions of observations and discover a predicted ∼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 clusters, allowing for repeated simulation of millions to billions of objects (both real and synthetic).

Authors

Publication Details

Journal
The Astronomical Journal
Published
2025-07-21
DOI
https://doi.org/10.3847/1538-3881/add3ec
Citations
4
Primary Topic
Astro and Planetary Science
Type
article
Field-Weighted Citation Impact
4.62

Funders

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article

Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time

Samuel Cornwall, Peter Yoachim, Siegfried Eggl, Megan E. Schwamb et al.
4 citations
The Astronomical Journal
Astro and Planetary Science
4.62
article

Sorcha: A Solar System Survey Simulator for the Legacy Survey of Space and Time

Samuel Cornwall, Peter Yoachim, Siegfried Eggl, Megan E. Schwamb, Shantanu P. Naidu, Michael S. P. Kelley, Joachim Moeyens, Jeremy Kubica, C. Snodgrass, Stephanie R. Merritt, Maxine West, Shannon M. Matthews, Mario Jurić, J Murtagh, Lynne Jones, G. Fedorets, Matthew J. Holman, Pedro H. Bernardinelli, Colin Orion Chandler, Drew Oldag, Jacob A. Kurlander, Ryan R. Lyttle, Kathleen Kiker
article en
4 citations

Abstract

Abstract 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 10 yr wide-field survey will collect billions of observations and discover a predicted ∼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 clusters, allowing for repeated simulation of millions to billions of objects (both real and synthetic).

The Astronomical JournalVol. 170(2)
National Science Foundation, U.S. Department of Energy, National Aeronautics and Space Administration, Gordon and Betty Moore Foundation, Washington Research Foundation, University of Washington, Breakthrough Prize Foundation, Department for the Economy, European Commission, Engineering and Physical Sciences Research Council, Science and Technology Facilities Council, SLAC National Accelerator Laboratory
Openalex Percentile: Top 5%
Astro and Planetary Science
4.62
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