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A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulations

ABSTRACT. Hydrodynamical simulations of galaxy formation and evolution attempt to fully model the physics that shapes galaxies. The agreement between the morpho

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Main Authors: Zanisi, Lorenzo (Author) , Huertas-Company, Marc (Author) , Lanusse, François (Author) , Bottrell, Connor (Author) , Pillepich, Annalisa (Author) , Nelson, Dylan (Author) , Rodriguez-Gomez, Vicente (Author) , Shankar, Francesco (Author) , Hernquist, Lars (Author) , Dekel, Avishai (Author) , Margalef-Bentabol, Berta (Author) , Vogelsberger, Mark (Author) , Primack, Joel R. (Author)
Format: Article (Journal)
Language:English
Published: 2021
In: Monthly notices of the Royal Astronomical Society
Year: 2021, Volume: 501, Issue: 3, Pages: 4359-4382
ISSN:1365-2966
DOI:10.1093/mnras/staa3864
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/mnras/staa3864
Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/mnras/article/501/3/4359/6039332
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Author Notes:Lorenzo Zanisi, Marc Huertas-Company, François Lanusse, Connor Bottrell, Annalisa Pillepich, Dylan Nelson, Vicente Rodriguez-Gomez, Francesco Shankar, Lars Hernquist, Avishai Dekel, Berta Margalef-Bentabol, Mark Vogelsberger and Joel Primack
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Summary:ABSTRACT. Hydrodynamical simulations of galaxy formation and evolution attempt to fully model the physics that shapes galaxies. The agreement between the morpho
Item Description:Advance Access publication 2020 December 16
Gesehen am 05.11.2021
Physical Description:Online Resource
ISSN:1365-2966
DOI:10.1093/mnras/staa3864

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