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The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	The Multimodal Universe Collaboration, Audenaert, Jeroen, Bowles, Micah, Boyd, Benjamin M., Chemaly, David, Cherinka, Brian, Ciucă, Ioana, Cranmer, Miles, Do, Aaron, Grayling, Matthew, Hayes, Erin E., Hehir, Tom, Ho, Shirley, Huertas-Company, Marc, Iyer, Kartheik G., Jablonska, Maja, Lanusse, Francois, Leung, Henry W., Mandel, Kaisey, Martínez-Galarza, Juan Rafael, Melchior, Peter, Meyer, Lucas, Parker, Liam H., Qu, Helen, Shen, Jeff, Smith, Michael J., Stone, Connor, Walmsley, Mike, Wu, John F.
Format:	Preprint
Publié:	2024
Sujets:	Instrumentation and Methods for Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics
Accès en ligne:	Acceder al recurso
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Internet

https://arxiv.org/abs/2412.02527