Algorithm to classify galaxy clusters using various architectures: CNN, MLP and Transformer - and to compare their efficiencies on the infrared (IR) data of the WISE survey (W1, W2 bands) and the microwave data of ACT+Planck (f90, f150, f220 frequencies)
Fast simulations of Sunyaev-Zeldovich galaxy clusters
a galaxy cluster SZ catalogue obtained in directions of SZcat by applying deep learning method to ACT+Planck maps to detect Sunyaev-Zeldovich effect
Tools to analyze Planck CMB maps with a focus on thermal and kinetic SZ effect. Includes implementation of Internal Linear Combination (ILC) and Wiener filter using NIFTy. Supplementary repo to master thesis
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