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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| Fformat: | Artigo |
| Iaith: | Inglês |
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IOP Publishing
2026-01-01
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| Cyfres: | The Astrophysical Journal |
| Pynciau: | |
| Mynediad Ar-lein: | https://doi.org/10.3847/1538-4357/ae7bec |
| Tagiau: |
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