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Inferring halo masses with graph neural networks
(Institute of Physics, 2022)
Understanding the halo–galaxy connection is fundamental in order to improve our knowledge on the nature and
properties of dark matter. In this work, we build a model that infers the mass of a halo given the positions,
...
Hiflow: Generating diverse hi maps and inferring cosmology while marginalizing over astrophysics using normalizing flows
(IOP Publishing, 2022)
A wealth of cosmological and astrophysical information is expected from many ongoing and upcoming large-scale
surveys. It is crucial to prepare for these surveys now and develop tools that can efficiently extract ...