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  • Machine Learning Methods for Stellar Collisions. I. Predicting Outcomes of SPH Simulations
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Machine Learning Methods for Stellar Collisions. I. Predicting Outcomes of SPH Simulations

Fuente: arXiv
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Bibliographic Details
Main Authors: Prieto, Elena González, Lombardi, Jr., James C., Rose, Sanaea C., Gibson, Charles F. A., O'Connor, Christopher E., Starkenburg, Tjitske, Kıroğlu, Fulya, Kremer, Kyle, Parmerlee, Tristan C., Rasio, Frederic A.
Format: Preprint
Published: 2026
Subjects:
High Energy Astrophysical Phenomena
Astrophysics of Galaxies
Instrumentation and Methods for Astrophysics
Solar and Stellar Astrophysics
Online Access:
Acceder al recurso
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Internet

https://arxiv.org/abs/2602.10191

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