most citedA Deep Learning Approach to Infer Galaxy Cluster Masses from Planck Compton parameter maps

35 citations · 35 across the 1 of their papers we have counts for

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1 paper

astro-ph.CO2022★ 35 cited

A Deep Learning Approach to Infer Galaxy Cluster Masses from Planck Compton parameter maps

Daniel de Andres, Weiguang Cui, Florian Ruppin +8

Galaxy clusters are useful laboratories to investigate the evolution of the Universe, and accurately measuring their total masses allows us to constrain important cosmological para…