Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning

2024/04/28 by Pal, Srikanta, Yadav, Sarvesh Kumar, Saha, Rajib +1 · 1 citation
#Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences

paper · doi:10.48550/arxiv.2404.18100

Abstract

An ingeniously designed autoencoder (PrimeNet) using simulated observations of future generation ECHO satellite mission recovers CMB B mode map, angular spectrum for multipoles ℓ \lesssim 9 and tensor to scalar ratio r \it limited only by cosmic variance down to r= 0.0001 and below. We use diverse, realistically complex and detailed foreground models. PrimeNet predicts accurate results even when data with r=0 are tested which were not used in training, implying robust and efficient predictive power. The work eliminates a major bottleneck of weak CMB B mode reconstruction and takes a leap forward for understanding fundamental physics of the primordial Universe.

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