Towards an optimal extraction of cosmological parameters from galaxy cluster surveys using convolutional neural networks

Iñigo Sáez-Casares, Matteo Calabrese, Davide Bianchi +4

The possibility to constrain cosmological parameters from galaxy surveys using field-level machine learning methods that bypass traditional summary statistics analyses, depends cru…