Cosmic Microwave background Simulations using Generative Adversarial Network
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Updated
Nov 22, 2019 - Python
Cosmic Microwave background Simulations using Generative Adversarial Network
a lightweight Python binding of the CLASS CMB Boltzmann code
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
Likelihood for LiteBIRD
Planck 2018 lensing pipeline
Atmospheric simulation tools for ground-based millimeter and sub-millimeter wave observatories.
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