Linking Warm Dark Matter to Merger Tree Histories via Deep Learning Networks

Dark matter (DM) halos form hierarchically in the Universe through a series of merger events. By pairing halo finder and postprocessing codes, merger series in cosmological simulations can be conveniently represented as a graph-like “tree” structure. Previous work has shown that these merger trees a...

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Auteurs principaux:	Ilem Leisher, Paul Torrey, Alex M. Garcia, Jonah C. Rose, Francisco Villaescusa-Navarro, Zachary Lubberts, Arya Farahi, Stephanie O’Neil, Xuejian Shen, Olivia Mostow, Nitya Kallivayalil, Dhruv Zimmerman, Desika Narayanan, Mark Vogelsberger
Format:	Artigo
Langue:	Inglês
Publié:	IOP Publishing 2026-01-01
Collection:	The Astrophysical Journal
Sujets:	Galaxy formation Warm dark matter Galaxy dark matter halos Neural networks
Accès en ligne:	https://doi.org/10.3847/1538-4357/ae7bec
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