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20172023
most citedNon-parametric reconstruction of the cosmological \textit{jerk} parameter

54 citations · 369 across the 17 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

astro-ph.CO2023★ 11 cited

Checking the second law at cosmic scales

Narayan Banerjee, Purba Mukherjee, Diego Pavón

Based on recent data about the history of the Hubble factor, it is argued that the second law of thermodynamics holds at the largest scales accessible to observation. This is consi…

gr-qc2023

Neural network reconstruction of scalar-tensor cosmology

Konstantinos F. Dialektopoulos, Purba Mukherjee, Jackson Levi Said +1

Neural networks have shown great promise in providing a data-first approach to exploring new physics. In this work, we use the full implementation of late time cosmological data to…

gr-qc2023★ 20 cited

Neural network reconstruction of cosmology using the Pantheon compilation

Konstantinos F. Dialektopoulos, Purba Mukherjee, Jackson Levi Said +1

In this work, we reconstruct the Hubble diagram using various data sets, including correlated ones, in Artificial Neural Networks (ANN). Using ReFANN, that was built for data sets…

astro-ph.CO2023★ 4 cited

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…

astro-ph.CO2023★ 12 cited

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…

astro-ph.CO2023★ 7 cited

Examining the validity of the minimal varying speed of light model through cosmological observations: relaxing the null curvature constraint

Purba Mukherjee, Gabriel Rodrigues, Carlos Bengaly

We revisit a consistency test for the speed of light variability, using the latest cosmological observations. This exercise can serve as a new diagnostics for the standard cosmolog…

astro-ph.CO2023★ 23 cited

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…

astro-ph.CO2023★ 14 cited

Spatial Curvature and Thermodynamics

Narayan Banerjee, Purba Mukherjee, Diego Pavón

Reasonable parametrizations of the current Hubble data set of the expansion rate of our homogeneous and isotropic universe, after suitable smoothing of these data, strongly suggest…