A stochastic approach to reconstructing the speed of light in cosmology

ABSTRACT The varying speed of light (VSL) model describes how the speed of light in a vacuum changes with cosmological redshift. Despite numerous models, there is little observational evidence for this variation. While the speed of light can be accurately measured by physical means, cosmological methods are rarely used. Previous studies quantified the speed of light at specific redshifts using Gaussian processes and reconstructed the redshift-dependent function $c(z)$. It is crucial to quantify the speed of light across varying redshifts. We use the latest data on angular diameter distances $D_\mathrm{ A}(z)$ and Hubble parameters $H(z)$ from baryon acoustic oscillation and cosmic chronometer measurements in the redshift interval $z\in [0.07,1.965]$. The speed of light $c(z)$ is determined using Gaussian and deep Gaussian processes to reconstruct $H(z)$, $D_\mathrm{ A}(z)$, and $D^{\prime }_\mathrm{ A}(z)$. Furthermore, we conduct comparisons across three distinct models, encompassing two renowned VSL models. We get the result of the parameters constraints in the models (1) for the ‘c-c’ model, $c_0=29\,492.6 \pm ^{6.2}_{5.3} \mathrm{~km} \mathrm{~s}^{-1}$. (2) For the ‘c-cl’ model, $c_0=29\,665.5 \pm ^{11.2}_{11.4}\mathrm{~km} \mathrm{~s}^{-1}$ and $n=0.05535 \pm\, ^{0.00008}_{0.00007}$. (3) For the ‘c-CPL’ model, $c_0=29\,555.7 \pm ^{13.3}_{13.2} \mathrm{~km} \mathrm{~s}^{-1}$ and $n=-0.0607 \pm 0.0001$. Based on our findings, it may be inferred that Barrow’s classical VSL model is not a suitable fit for our data. In contrast, the widely recognized Chevallier–Polarski–Linder (CPL) VSL model, under some circumstances, as well as the universal ‘c is constant’ model, demonstrate a satisfactory ability to account for our findings.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2024-09-04
DOI
https://doi.org/10.1093/mnras/stae2070
Citations
4
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
1.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A stochastic approach to reconstructing the speed of light in cosmology

Wei Hong, Yu-Chen Wang, Chengyu Zhang, Tong‐Jie Zhang
4 citations
Monthly Notices of the Royal Astronomical Society
Galaxies: Formation, Evolution, Phenomena
1.33
article

A stochastic approach to reconstructing the speed of light in cosmology

Wei Hong, Yu-Chen Wang, Chengyu Zhang, Tong‐Jie Zhang
article en
4 citations

Abstract

ABSTRACT The varying speed of light (VSL) model describes how the speed of light in a vacuum changes with cosmological redshift. Despite numerous models, there is little observational evidence for this variation. While the speed of light can be accurately measured by physical means, cosmological methods are rarely used. Previous studies quantified the speed of light at specific redshifts using Gaussian processes and reconstructed the redshift-dependent function $c(z)$. It is crucial to quantify the speed of light across varying redshifts. We use the latest data on angular diameter distances $D_\mathrm{ A}(z)$ and Hubble parameters $H(z)$ from baryon acoustic oscillation and cosmic chronometer measurements in the redshift interval $z\in [0.07,1.965]$. The speed of light $c(z)$ is determined using Gaussian and deep Gaussian processes to reconstruct $H(z)$, $D_\mathrm{ A}(z)$, and $D^{\prime }_\mathrm{ A}(z)$. Furthermore, we conduct comparisons across three distinct models, encompassing two renowned VSL models. We get the result of the parameters constraints in the models (1) for the ‘c-c’ model, $c_0=29\,492.6 \pm ^{6.2}_{5.3} \mathrm{~km} \mathrm{~s}^{-1}$. (2) For the ‘c-cl’ model, $c_0=29\,665.5 \pm ^{11.2}_{11.4}\mathrm{~km} \mathrm{~s}^{-1}$ and $n=0.05535 \pm\, ^{0.00008}_{0.00007}$. (3) For the ‘c-CPL’ model, $c_0=29\,555.7 \pm ^{13.3}_{13.2} \mathrm{~km} \mathrm{~s}^{-1}$ and $n=-0.0607 \pm 0.0001$. Based on our findings, it may be inferred that Barrow’s classical VSL model is not a suitable fit for our data. In contrast, the widely recognized Chevallier–Polarski–Linder (CPL) VSL model, under some circumstances, as well as the universal ‘c is constant’ model, demonstrate a satisfactory ability to account for our findings.

Monthly Notices of the Royal Astronomical SocietyVol. 534(1)
Peking University (CN), Beijing Normal University (CN), Kavli Institute for Theoretical Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 19%
Galaxies: Formation, Evolution, Phenomena
1.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.