PHANGS-ML: Dissecting Multiphase Gas and Dust in Nearby Galaxies Using Machine Learning

PHANGS-ML: Dissecting Multiphase Gas and Dust in Nearby Galaxies Using Machine Learning

The PHANGS survey uses Atacama Large Millimeter/submillimeter Array, Hubble Space Telescope, Very Large Telescope, and JWST to obtain an unprecedented high-resolution view of nearby galaxies, covering millions of spatially independent regions. The high dimensionality of such a diverse multiwavelengt...

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Bibliographic Details
Main Authors:	Baron, D, Sandstrom, KM, Rosolowsky, E, Egorov, OV, Klessen, RS, Leroy, AK, Boquien, M, Schinnerer, E, Belfiore, F, Groves, B, Chastenet, J, Dale, DA, Blanc, GA, Méndez-Delgado, JE, Koch, EW, Grasha, K, Chevance, M, Thilker, DA, Colombo, D, Williams, TG, Pathak, D, Sutter, J, Brown, T, Wu, JF
Format:	Journal article
Language:	English
Published:	American Astronomical Society 2024

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