A deep learning approach to infer galaxy cluster masses from Planck Compton-y parameter maps
Galaxy clusters are useful laboratories to investigate the evolution of the Universe, and accurate measurement of their total masses allows us to constrain important cosmological parameters. However, estimating mass from observations that use different methods and spectral bands introduces various systematic errors. Here we evaluate the use of a
de Andres, Daniel et al.
Fecha de publicación:
11
2022