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The circumgalactic medium from the camels simulations: Forecasting constraints on feedback processes from future Sunyaev–Zeldovich observations
(IOP Publishing, 2022)
It is important to understand the cycle of baryons through the circumgalactic medium (CGM) in the context of
galaxy formation and evolution. In this study, we forecast constraints on the feedback processes heating the ...
The CAMELS multifield data set: Learning the universe’s fundamental parameters with artificial intelligence
(IOP, 2022)
We present the Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) Multifield Data set
(CMD), a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of
cosmic ...
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,
...