Reconstruction of the dark energy scalar field potential by Gaussian process

Fuente: arXiv
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Auteurs principaux: Niu, Jing, Jiao, Kang, He, Peng, Zhang, Tong-Jie
Format: Preprint
Publié: 2023
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author Niu, Jing
Jiao, Kang
He, Peng
Zhang, Tong-Jie
author_facet Niu, Jing
Jiao, Kang
He, Peng
Zhang, Tong-Jie
contents Dark energy is believed to be responsible for the acceleration of the universe. In this paper, we reconstruct the dark energy scalar field potential $V(ϕ)$ using the Hubble parameter $H(z)$ through Gaussian Process analysis. Our goal is to investigate dark energy using various $H(z)$ datasets and priors. We find that the selection of prior and the $H(z)$ dataset significantly affects the reconstructed $V(ϕ)$. And we compare two models, Power Law and Free Field, to the reconstructed $V(ϕ)$ by computing the reduced chi-square. The results suggest that the models are generally in agreement with the reconstructed potential within a $3σ$ confidence interval, except in the case of Observational $H(z)$ data (OHD) with the Planck 18 (P18) prior. Additionally, we simulate $H(z)$ data to measure the effect of increasing the number of data points on the accuracy of reconstructed $V(ϕ)$. We find that doubling the number of $H(z)$ data points can improve the accuracy rate of reconstructed $V(ϕ)$ by 5$\%$ to 30$\%$.
format Preprint
id arxiv_https___arxiv_org_abs_2305_04752
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Reconstruction of the dark energy scalar field potential by Gaussian process
Niu, Jing
Jiao, Kang
He, Peng
Zhang, Tong-Jie
Cosmology and Nongalactic Astrophysics
Dark energy is believed to be responsible for the acceleration of the universe. In this paper, we reconstruct the dark energy scalar field potential $V(ϕ)$ using the Hubble parameter $H(z)$ through Gaussian Process analysis. Our goal is to investigate dark energy using various $H(z)$ datasets and priors. We find that the selection of prior and the $H(z)$ dataset significantly affects the reconstructed $V(ϕ)$. And we compare two models, Power Law and Free Field, to the reconstructed $V(ϕ)$ by computing the reduced chi-square. The results suggest that the models are generally in agreement with the reconstructed potential within a $3σ$ confidence interval, except in the case of Observational $H(z)$ data (OHD) with the Planck 18 (P18) prior. Additionally, we simulate $H(z)$ data to measure the effect of increasing the number of data points on the accuracy of reconstructed $V(ϕ)$. We find that doubling the number of $H(z)$ data points can improve the accuracy rate of reconstructed $V(ϕ)$ by 5$\%$ to 30$\%$.
title Reconstruction of the dark energy scalar field potential by Gaussian process
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2305.04752