ERGO-ML I: inferring the assembly histories of IllustrisTNG galaxies from integral observable properties via invertible neural networks

A fundamental prediction of the LambdaCDM cosmology is the hierarchical build-up of structure and therefore the successive merging of galaxies into more massive ones. As one can only observe galaxies at one specific time in cosmic history, this merger history remains in principle unobservable. By us...

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Main Authors: Eisert, Lukas (Author) , Pillepich, Annalisa (Author) , Nelson, Dylan (Author) , Klessen, Ralf S. (Author) , Huertas-Company, Marc (Author) , Rodriguez-Gomez, Vicente (Author)
Format: Article (Journal) Chapter/Article
Language:English
Published: 14 Feb 2022
In: Arxiv
Year: 2022, Pages: 1-25
DOI:10.48550/arXiv.2202.06967
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.48550/arXiv.2202.06967
Verlag, lizenzpflichtig, Volltext: http://arxiv.org/abs/2202.06967
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Author Notes:Lukas Eisert, Annalisa Pillepich, Dylan Nelson, Ralf S. Klessen, Marc Huertas-Company and Vicente Rodriguez-Gomez
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ERGO-ML I: inferring the assembly histories of IllustrisTNG galaxies from integral observable properties via invertible neural networks by Eisert, Lukas (Author) , Pillepich, Annalisa (Author) , Nelson, Dylan (Author) , Klessen, Ralf S. (Author) , Huertas-Company, Marc (Author) , Rodriguez-Gomez, Vicente (Author) ,


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