Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914773634908160 |
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| author | Pal, Srikanta Yadav, Sarvesh Kumar Saha, Rajib Souradeep, Tarun |
| author_facet | Pal, Srikanta Yadav, Sarvesh Kumar Saha, Rajib Souradeep, Tarun |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_18100 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning Pal, Srikanta Yadav, Sarvesh Kumar Saha, Rajib Souradeep, Tarun Cosmology and Nongalactic Astrophysics 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. |
| title | Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2404.18100 |