The CAMELS Multifield Data Set: Learning the Universe’s Fundamental Parameters with Artificial Intelligence

The CAMELS Multifield Data Set: Learning the Universe’s Fundamental Parameters with Artificial Intelligence

<jats:title>Abstract</jats:title> <jats:p>We present the Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) Multifield Data set (CMD), a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of cosmic gas...

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Main Authors: Villaescusa-Navarro, Francisco, Genel, Shy, Anglés-Alcázar, Daniel, Thiele, Leander, Dave, Romeel, Narayanan, Desika, Nicola, Andrina, Li, Yin, Villanueva-Domingo, Pablo, Wandelt, Benjamin, Spergel, David N, Somerville, Rachel S, Zorrilla Matilla, Jose Manuel, Mohammad, Faizan G, Hassan, Sultan, Shao, Helen, Wadekar, Digvijay, Eickenberg, Michael, Wong, Kaze WK, Contardo, Gabriella, Jo, Yongseok, Moser, Emily, Lau, Erwin T, Machado Poletti Valle, Luis Fernando, Perez, Lucia A, Nagai, Daisuke, Battaglia, Nicholas, Vogelsberger, Mark
Other Authors: MIT Kavli Institute for Astrophysics and Space Research
Format: Article
Language:English
Published: American Astronomical Society 2022
Online Access:https://hdl.handle.net/1721.1/142371

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https://hdl.handle.net/1721.1/142371

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