Sabogal, M.A. orcid.org/0000-0002-9109-9442, Akarsu, Ö, Bonilla, A. et al. (2 more authors) (2024) Exploring new physics in the late Universe’s expansion through non-parametric inference. The European Physical Journal C, 84. 703.
Abstract
In this study, we investigate deviations from the Planck-CDM model in the late universe (z 2.5) using the Gaussian Processes method, with minimal assumptions. Our goal is to understand where exploring new physics in the late universe is most relevant. We analyze recent Cosmic Chronometers (CC), Type Ia Supernovae (SN), and Baryon Acoustic Oscillations (BAO) data. By examining reconstructions of the dimensionless parameter δ(z), which measures deviations of the Hubble parameter from the Planck-CDM predictions, we identify intriguing features at low (z 0.5) and high (z 2) redshifts. Deviations from the Planck- CDM model were not significant between 0.5 z 2. Using the combined CC+SN+BAO dataset, we gain insights into dark energy (DE) dynamics, resembling characteristics of omnipotent DE, extending beyond quintessence and phantom models. DE exhibits n-quintessence traits for z 2, transitioning with a singularity around z ∼ 2 to usual phantom traits in 1 z 2. DE characteristics differ between scenarios (H0-SH0ES and H0-&CMB), with H0-SH0ES leaning towards phantom traits and H0-&CMB towards quintessence. We suggest exploring new physics at z 0.5 and 1.5 z 2.5, particularly around z = 2, to understand cosmological tensions such as H0 and S8
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Jul 2024 13:43 |
Last Modified: | 23 Jul 2024 13:43 |
Published Version: | http://dx.doi.org/10.1140/epjc/s10052-024-13081-1 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Refereed: | Yes |
Identification Number: | 10.1140/epjc/s10052-024-13081-1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:215031 |