Galaxy clusters identified from the Sunyaev Zel'dovich (SZ) effect are a key ingredient in multi-wavelength cluster-based cosmology. We present comparison between two methods of cluster identification: standard Matched Filter (MF) method SZ finding and using Convolutional Neural Networks (CNN). further implement show results for `combined' identifier. apply to simulated millimeter maps several ...

We perform an out-of-distribution analysis of ~12,000,000 semi-independent 128x128 pixel^2 SST regions, which we define as cutouts, from all nighttime granules in the MODIS R2019 Level-2 public dataset to discover most complex or extreme phenomena at ocean surface. Our algorithm (Ulmo) is a probabilistic autoencoder, combines two deep learning modules: (1) trained on ~150,000 random cutouts 201...