arXiv · 2404.18100
Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning
Abstract
An ingeniously designed autoencoder (PrimeNet) using simulated observations of future generation ECHO satellite mission recovers CMB B mode map, angular spectrum for multipoles $\ell \lesssim 9$ 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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Srikanta Pal, Sarvesh Kumar Yadav, Rajib Saha, Tarun Souradeep. 2024-04-28. Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning. https://arxiv.org/abs/2404.18100
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