A Data-driven Approach for Star Formation Parameterization Using Symbolic Regression
Acknowledgements: D.M.S. is supported by the 2022 Future Investigators in NASA Earth and Space Science and Technology (NASA FINESST) Fellowship (NASA grant 80NSSC22K1604). D.M.S. is also grateful for the generous support of the 2023 Quad Fellowship. B.B. acknowledges support from NSF grant AST-2009679 and NASA grant No. 80NSSC20K0500. B.B. is grateful for the generous support of the David and Lucile Packard Foundation and the Alfred P. Sloan Foundation. The Flatiron Institute is supported by the Simons Foundation. All authors are grateful for the use of both GPU and CPU resources on the Rusty Supercomputer cluster at the Simons Foundation Flatiron Institute. All authors are deeply grateful for in-depth discussions with and suggestions from Viraj Pandya, Christian Kragh Jespersen, Chris McKee, Shyam Menon, and Deanne Fisher.
Publication Details
- Journal
- Apollo (University of Cambridge)
- Published
- 2025-05-07
- Primary Topic
- Stellar, planetary, and galactic studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00