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: | , , , , , |
|---|---|
| Format: | Article (Journal) Chapter/Article |
| Language: | English |
| Published: |
14 Feb 2022
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| 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 |
| Author Notes: | Lukas Eisert, Annalisa Pillepich, Dylan Nelson, Ralf S. Klessen, Marc Huertas-Company and Vicente Rodriguez-Gomez |
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