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

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A fundamental prediction of the ΛCDM 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 the cosmic history, this merger history remains, in principle, unobservable. By u...

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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)
Language:English
Published: 2023
In: Monthly notices of the Royal Astronomical Society
Year: 2023, Volume: 519, Issue: 2, Pages: 2199-2223
ISSN:1365-2966
DOI:10.1093/mnras/stac3295
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1093/mnras/stac3295
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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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