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https://dx.doi.org/10.48550/ar...
Article . 2020
License: arXiv Non-Exclusive Distribution
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Testing the Mutual Consistency of the Pantheon and SDSS/eBOSS BAO Data Sets with Gaussian Processes

Authors: Keeley, Ryan E.; Shafieloo, Arman; Zhao, Gong-Bo; Vazquez, Jose Alberto; Koo, Hanwool;

Testing the Mutual Consistency of the Pantheon and SDSS/eBOSS BAO Data Sets with Gaussian Processes

Abstract

We test the mutual consistency between the baryon acoustic oscillation measurements from the eBOSS SDSS final release, as well as the Pantheon supernova compilation in a model independent fashion using Gaussian process regression. We also test their joint consistency with the $��$CDM model, also in a model independent fashion. We also use Gaussian process regression to reconstruct the expansion history that is preferred by these two datasets. While this methodology finds no significant preference for model flexibility beyond $��$CDM, we are able to generate a number of reconstructed expansion histories that fit the data better than the best-fit $��$CDM model. These example expansion histories may point the way towards modifications to $��$CDM. We also constrain the parameters $��_k$ and $H_0r_d$ both with $��$CDM and with Gaussian process regression. We find that $H_0r_d =10030 \pm 130$ km/s and $��_k = 0.05 \pm 0.10$ for $��$CDM and that $H_0r_d = 10040 \pm 140$ km/s and $��_k = 0.02 \pm 0.20$ for the Gaussian process case.

7 pages, 3 figures

Keywords

Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics - Cosmology and Nongalactic Astrophysics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green