Can we learn from matter creation to solve the $H_{0}$ tension problem?

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Elizalde, Emilio, Khurshudyan, Martiros, Odintsov, Sergei D.
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866913451448729600
author Elizalde, Emilio
Khurshudyan, Martiros
Odintsov, Sergei D.
author_facet Elizalde, Emilio
Khurshudyan, Martiros
Odintsov, Sergei D.
contents The $H_{0}$ tension problem is studied in the light of a matter creation mechanism (an effective approach to replacing dark energy), the way to define the matter creation rate being of pure phenomenological nature. Bayesian (probabilistic) Machine Learning is used to learn the constraints on the free parameters of the models, with the learning being based on the generated expansion rate, $H(z)$. Taking advantage of the method, the constraints for three redshift ranges are learned. Namely, for the two redshift ranges: $z\in [0,2]$~(cosmic chronometers) and $z\in [0,2.5]$~(cosmic chronometers + BAO), covering already available $H(z)$ data, to validate the learned results; and for a third redshift interval, $z\in[0,5]$, for forecasting purposes. It is learned that the $3αH_{0}$ term in the creation rate provides options that have the potential to solve the $H_{0}$ tension problem.
format Preprint
id arxiv_https___arxiv_org_abs_2407_20285
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Can we learn from matter creation to solve the $H_{0}$ tension problem?
Elizalde, Emilio
Khurshudyan, Martiros
Odintsov, Sergei D.
General Relativity and Quantum Cosmology
High Energy Physics - Phenomenology
High Energy Physics - Theory
The $H_{0}$ tension problem is studied in the light of a matter creation mechanism (an effective approach to replacing dark energy), the way to define the matter creation rate being of pure phenomenological nature. Bayesian (probabilistic) Machine Learning is used to learn the constraints on the free parameters of the models, with the learning being based on the generated expansion rate, $H(z)$. Taking advantage of the method, the constraints for three redshift ranges are learned. Namely, for the two redshift ranges: $z\in [0,2]$~(cosmic chronometers) and $z\in [0,2.5]$~(cosmic chronometers + BAO), covering already available $H(z)$ data, to validate the learned results; and for a third redshift interval, $z\in[0,5]$, for forecasting purposes. It is learned that the $3αH_{0}$ term in the creation rate provides options that have the potential to solve the $H_{0}$ tension problem.
title Can we learn from matter creation to solve the $H_{0}$ tension problem?
topic General Relativity and Quantum Cosmology
High Energy Physics - Phenomenology
High Energy Physics - Theory
url https://arxiv.org/abs/2407.20285