Mapping Synthetic Observations to Prestellar Core Models: An Interpretable Machine Learning Approach

Fuente: arXiv

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Bibliographic Details
Main Authors:	Grassi, T., Padovani, M., Galli, D., Vaytet, N., Jensen, S. S., Redaelli, E., Spezzano, S., Bovino, S., Caselli, P.
Format:	Preprint
Published:	2025
Subjects:	Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2502.07874