3 papers
astro-ph.CO2024
ParamANN: A Neural Network to Estimate Cosmological Parameters for CDM Universe Using Hubble Measurements
Srikanta Pal, Rajib Saha
In this article, we employ a machine learning (ML) approach for the estimations of four fundamental parameters, namely, the Hubble constant (), matter (), curvature (…
astro-ph.CO2024
On Direct Estimation of Density Parameters and Hubble Constant for CDM Universe using Hubble Measurements
Srikanta Pal, Rajib Saha
The set of cosmological density parameters (, , ) and Hubble constant () are useful for fundamental understandin…
astro-ph.CO2024
Accurate and Unbiased Reconstruction of CMB B Mode using Deep Learning
Srikanta Pal, Sarvesh Kumar Yadav, Rajib Saha +1
An ingeniously designed autoencoder (PrimeNet) using simulated observations of future generation ECHO satellite mission recovers CMB B mode map, angular spectrum for multipoles $\e…