The scatter in the galaxy-halo connection: a machine learning analysis
We apply machine learning (ML), a powerful method for uncovering complex correlations in high-dimensional data, to the galaxy-halo connection of cosmological hydrodynamical simulations. The mapping between galaxy and halo variables is stochastic in the absence of perfect information, but conventiona...
| Huvudupphovsmän: | , , , |
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| Materialtyp: | Journal article |
| Språk: | English |
| Publicerad: |
Oxford University Press
2022
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