Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning
2024
Online
report
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.
Titel: |
Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning
|
---|---|
Autor/in / Beteiligte Person: | Pal, Srikanta ; Yadav, Sarvesh Kumar ; Saha, Rajib ; Souradeep, Tarun |
Link: | |
Veröffentlichung: | 2024 |
Medientyp: | report |
Schlagwort: |
|
Sonstiges: |
|