30 citations · 71 across the 6 of their papers we have counts for
4 papers · 1 filter
Deep Learning Based Recalibration of SDSS and DESI BAO Alleviates Hubble and Clustering Tensions
Rahul Shah, Purba Mukherjee, Soumadeep Saha +2
Conventional calibration of Baryon Acoustic Oscillations (BAO) data relies on estimation of the sound horizon at drag epoch from early universe observations by assuming a cos…
What can we learn about Reionization astrophysical parameters using Gaussian Process Regression?
Purba Mukherjee, Antara Dey, Supratik Pal
Reionization is one of the least understood processes in the evolution history of the Universe, mostly because of the numerous astrophysical processes occurring simultaneously abou…
Reconciling : Insights from Interacting Dark Sectors
Rahul Shah, Purba Mukherjee, Supratik Pal
We do a careful investigation of the prospects of dark energy (DE) interacting with cold dark matter in alleviating the clustering tension. To this end, we consider various w…
LADDER: Revisiting the Cosmic Distance Ladder with Deep Learning Approaches and Exploring its Applications
Rahul Shah, Soumadeep Saha, Purba Mukherjee +2
We investigate the prospect of reconstructing the ''cosmic distance ladder'' of the Universe using a novel deep learning framework called LADDER - Learning Algorithm for Deep Dista…