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PHANGS-ML: dissecting multiphase gas and dust in nearby galaxies using machine learning

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Baron, Dalya, Sandstrom, Karin M., Rosolowsky, Erik, Egorov, Oleg V., Klessen, Ralf S., Leroy, Adam K., Boquien, Médéric, Schinnerer, Eva, Belfiore, Francesco, Groves, Brent, Chastenet, Jérémy, Dale, Daniel A., Blanc, Guillermo A., Méndez-Delgado, José E., Koch, Eric W., Grasha, Kathryn, Chevance, Mélanie, Thilker, David A., Colombo, Dario, Williams, Thomas G., Pathak, Debosmita, Sutter, Jessica, Brown, Toby, Wu, John F., Peek, J. E. G., Emsellem, Eric, Larson, Kirsten L., Neumann, Justus
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Astrophysics of Galaxies
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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