299 citations · 416 across the 11 of their papers we have counts for
3 papers · 1 filter
Role of Future SNIa Data from Rubin LSST in Reinvestigating Cosmological Models
Rahul Shah, Ayan Mitra, Purba Mukherjee +2
We study how future Type-Ia supernovae (SNIa) standard candles detected by the Vera C. Rubin Observatory (LSST) can constrain some cosmological models. We use a realistic three-yea…
Reconstructing the Hubble parameter with future Gravitational Wave missions using Machine Learning
Purba Mukherjee, Rahul Shah, Arko Bhaumik +1
We study the prospects of Gaussian processes (GP), a machine learning (ML) algorithm, as a tool to reconstruct the Hubble parameter with two upcoming gravitational wave miss…
A thorough investigation of the prospects of eLISA in addressing the Hubble tension: Fisher Forecast, MCMC and Machine Learning
Rahul Shah, Arko Bhaumik, Purba Mukherjee +1
We carry out an in-depth analysis of the capability of the upcoming space-based gravitational wave mission eLISA in addressing the Hubble tension, with a primary focus on observati…