Model-Agnostic Cosmological Inference with SDSS-IV eBOSS: Simultaneous Probing for Background and Perturbed Universe
Purba Mukherjee, Anjan A. Sen

TL;DR
This paper introduces a model-agnostic framework using SDSS-IV eBOSS data to simultaneously probe background and perturbed cosmological features, revealing potential inconsistencies in the standard $\\Lambda$CDM model.
Contribution
It develops a multi-task Gaussian process approach to jointly analyze background and perturbation observables across redshifts, providing a new template for model-independent cosmological inference.
Findings
Reconstructed BAO and RSD observables as functions of redshift.
Identified redshift-dependent trends in key cosmological parameters.
Suggested possible inconsistencies in the $\\Lambda$CDM model.
Abstract
Here we explore certain subtle features imprinted in data from the completed Sloan Digital Sky Survey IV (SDSS-IV) extended Baryon Oscillation Spectroscopic Survey (eBOSS) as a combined probe for the background and perturbed Universe. We reconstruct the baryon Acoustic Oscillation (BAO) and Redshift Space Distortion (RSD) observables as functions of redshift, using measurements from SDSS alone. We apply the Multi-Task Gaussian Process (MTGP) framework to model the interdependencies of cosmological observables , , and , and track their evolution across different redshifts. Subsequently, we obtain constrained three-dimensional phase space containing , , and at different redshifts probed by the SDSS-IV eBOSS survey. Furthermore, assuming the CDM model, we obtain constraints on model parameters…
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Taxonomy
MethodsGaussian Process
