299 citations · 416 across the 11 of their papers we have counts for
11 papers
Overview of 21cm Experiments at high redshift with SKAO
CD Science Working Group, Gianni Bernardi, Daniela Breitman +81
We provide an overview of the eight SKAO Science Book chapters that motivate the Epoch of Reionisation and Cosmic Dawn experiments with SKA-Low. We describe the individual SKA-Low…
Probing Interacting Dark Sectors with upcoming Post-Reionization and Galaxy Surveys
Rahul Shah, Antara Dey, Purba Mukherjee +1
We investigate the constraining power of future post-reionization and galaxy surveys on possible interactions between dynamical dark energy and dark matter. The analysis focuses on…
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
Eleonora Di Valentino, Jackson Levi Said, Adam Riess +533
The standard model of cosmology has provided a good phenomenological description of a wide range of observations both at astrophysical and cosmological scales for several decades.…
Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment
A. Bonaldi, P. Hartley, R. Braun +179
We present and analyse the results of the Science data challenge 3a (SDC3a, https://sdc3.skao.int/challenges/foregrounds), an EoR foreground-removal community-wide exercise organis…
Interacting Dark Sectors in light of DESI DR2
Rahul Shah, Purba Mukherjee, Supratik Pal
Possible interaction between dark energy and dark matter has previously shown promise in alleviating the clustering tension, without exacerbating the Hubble tension, when Baryon Ac…
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…
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…
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…