Toward Characterizing Dark Matter Subhalo Perturbations in Stellar Streams with Graph Neural Networks
The phase space of stellar streams is proposed to detect dark substructure in the Milky Way through the perturbations created by passing subhalos—and thus is a powerful test of the cold dark matter paradigm and its alternatives. Using graph convolutional neural network (GCNN) data compression and si...
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Main Authors: | Peter Xiangyuan Ma, Keir K. Rogers, Ting S. Li, Renée Hložek, Jeremy J. Webb, Ruth Huang, Julian Meunier |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
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Series: | The Astrophysical Journal |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-4357/add698 |
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