A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

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

Tekijät: Merritt Stephanie R.; Fedorets Grigori; Schwamb Megan E.; Cornwall Samuel; Bernardinelli Pedro H.; Jurić 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

Kustantaja: Journal of Open Source Software

Julkaisuvuosi: 2025

Lehti: Journal of Open Source Software

Artikkelin numero: 8145

Vuosikerta: 10

Numero: 114

eISSN: 2475-9066

DOI: https://doi.org/10.21105/joss.08145

Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla

Julkaisukanavan avoimuus : Kokonaan avoin julkaisukanava

Verkko-osoite: https://doi.org/10.21105/joss.08145

Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/508559504

Rinnakkaistallenteen lisenssi: CC BY

Rinnakkaistallennetun julkaisun versio: Kustantajan versio

Julkaisussa olevat rahoitustiedot: 
This work was supported by a LSST Discovery Alliance LINCC Frameworks Incubator grant [2023-SFF-LFI-01-Schwamb]. Support was provided by Schmidt Sciences. S.R.M. and M.E.S. acknowledge support in part from UK Science and Technology Facilities Council (STFC) grants ST/V000691/1 and ST/X001253/1. G.F. acknowledges support in part from STFC grant ST/P000304/1. This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 101032479. M.J. and P.H.B. acknowledge the support from the University of Washington College of Arts and Sciences, Department of Astronomy, and the DiRAC (Data-intensive Research in Astrophysics and Cosmology) Institute. The DiRAC Institute is supported through generous gifts from the Charles and Lisa Simonyi Fund for Arts and Sciences and the Washington Research Foundation. M.J. wishes to acknowledge the support of the Washington Research Foundation Data Science Term Chair fund, and the University of Washington Provost’s Initiative in Data-Intensive Discovery. J. Murtagh acknowledges support from the Department for the Economy (DfE) Northern Ireland postgraduate studentship scheme and travel support from the STFC for UK participation in LSST through grant ST/S006206/1. S.E. and S.C. acknowledge support from the National Science Foundation through the following awards: Collaborative Research: SWIFT-SAT: Minimizing Science Impact on LSST and Observatories Worldwide through Accurate Predictions of Satellite Position and Optical Brightness NSF Award Number: 2332736 and Collaborative Research: Rubin Rocks: Enabling near-Earth asteroid science with LSST NSF Award Number: 2307570. RRL was supported by the UK STFC grant ST/V506990/1. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. This work was also supported via the Preparing for Astrophysics with LSST Program, funded by the Heising Simons Foundation through grant 2021-2975, and administered by Las Cumbres Observatory. This work was supported in part by the LSST Discovery Alliance Enabling Science grants program, the B612 Foundation, the University of Washington’s DiRAC Institute, the Planetary Society, Karman+, and Adler Planetarium through generous support of the LSST Solar System Readiness Sprints.