ASURA-FDPS-ML: Star-by-star Galaxy Simulations Accelerated by Surrogate Modeling for Supernova Feedback
We introduce new high-resolution galaxy simulations accelerated by a surrogate model that reduces the computation cost by approximately 75%. Massive stars with a zero-age main-sequence mass of more than about 10 M _⊙ explode as core-collapse supernovae (CCSNe), which play a critical role in galaxy f...
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| Główni autorzy: | , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
IOP Publishing
2025-01-01
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| Seria: | The Astrophysical Journal |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.3847/1538-4357/add689 |
| Etykiety: |
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