30 citations · 70 across the 9 of their papers we have counts for
9 papers
Validation of the DESI DR2 Ly forest full-shape analysis
M. Herbold, A. Cuceu, P. Martini +100
We present the validation of the Dark Energy Spectroscopic Instrument (DESI) Data Release 2 (DR2) Lyman- (Ly) forest full-shape analysis. This analysis combines three-dimensi…
CoLoRe-2LPT: Lyman- mock catalogues for the validation of DESI cosmological analyses
M. F. Ruiz-Herrera Bernal, S. Avila, A. Font-Ribera +90
The Lyman- (Ly) forest has become a crucial probe for studying the large-scale structure of the universe at high redshift (), providing powerful constraints on Baryon…
Lyman- forest holography: 3D predictions from 1D measurements
J. Chaves-Montero, A. Font-Ribera, J. Aguilar +68
Cosmological analyses of Lyman- forest clustering rely on either one-dimensional correlations along individual sightlines or three-dimensional correlations between different sig…
Revisiting Gaussian Process Reconstruction for Cosmological Inference: The Generalised GP (Gen GP) Framework
Ruchika, Purba Mukherjee, Arianna Favale
We investigate uncertainties in the estimation of the Hubble constant () arising from Gaussian Process (GP) reconstruction, demonstrating that the choice of kernel introduces…
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…
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…