DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning

Understand

Galaxy clusters identified from the Sunyaev Zel'dovich (SZ) effect are a key ingredient in multi-wavelength cluster-based cosmology.

• We present a comparison between two methods of cluster identification: the standard Matched Filter (MF) method in SZ cluster finding and a method using Convolutional Neural Networks (CNN).
• We further implement and show results for a `combined' identifier.
• We apply the methods to simulated millimeter maps for several observing frequencies for an SPT-3G-like survey.