EEmGuzman/resunet-cmb
Code repository for the implementation of the ResUNet-CMB network from "Reconstructing Patchy Reionization with Deep Learning" (https://arxiv.org/abs/2101.01214), "Reconstructing Cosmic Polarization Rotation with ResUNet-CMB" (https://arxiv.org/abs/2109.09715), and "Deep Learning for Primordial B-mode Extraction" (https://arxiv.org/abs/2512.19577))
This project helps cosmologists and astrophysicists reconstruct key cosmic phenomena from Cosmic Microwave Background (CMB) polarization maps. You provide observed CMB Q and U polarization maps, and it outputs estimates of patchy reionization, lensing convergence, and primordial E-mode CMB polarization. It's designed for researchers studying the early universe and its subtle distortions.
Use this if you need to accurately separate and reconstruct patchy reionization, gravitational lensing, and primordial E-modes from noisy CMB polarization data.
Not ideal if you are not working with CMB polarization data or if you need to analyze phenomena outside of these specific cosmic distortions.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jan 23, 2026
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