An Analysis of Variance of the Pantheon+ Dataset: Systematics in the Covariance Matrix?

Fuente: arXiv
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Auteurs principaux: Keeley, Ryan, Shafieloo, Arman, L'Huillier, Benjamin
Format: Preprint
Publié: 2022
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author Keeley, Ryan
Shafieloo, Arman
L'Huillier, Benjamin
author_facet Keeley, Ryan
Shafieloo, Arman
L'Huillier, Benjamin
contents We investigate the statistics of the available Pantheon+ dataset. Noticing that the $χ^2$ value for the best-fit $Λ$CDM model to the real data is small, we quantify how significant its smallness is by calculating the distribution of $χ^2$ values for the best-fit $Λ$CDM model fit to mock Pantheon+-like datasets, using the provided covariance matrix. We further investigate the distribution of the residuals of the Pantheon+ dataset with respect to the best-fit $Λ$CDM model, and notice that they scatter less than would be expected from the covariance matrix but find no significant kurtosis. These results point to the conclusion that the Pantheon+ covariance matrix is over-estimated. One simple interpretation of these results is a $\sim$7\% overestimation of errors on SN distance moduli in Pantheon+ data. When the covariance matrix is reduced by subtracting an intrinsic scatter term from the diagonal terms of the covariance matrix, the best-fit $χ^2$ for the $Λ$CDM model achieves a normal value of 1580 and no deviation from $Λ$CDM is detected. We further quantify how consistent the $Λ$CDM model is with respect to the modified data with the subtracted covariance matrix using model-independent reconstruction techniques such as the iterative smoothing method. We find that the standard model is consistent with the data. There are a number of potential explanations for this smallness of the $χ^2$, such as a Malmquist bias at high redshift, or accounting for systematic uncertainties by adding them to the covariance matrix, thus approximating systematic uncertainties as statistical ones.
format Preprint
id arxiv_https___arxiv_org_abs_2212_07917
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle An Analysis of Variance of the Pantheon+ Dataset: Systematics in the Covariance Matrix?
Keeley, Ryan
Shafieloo, Arman
L'Huillier, Benjamin
Cosmology and Nongalactic Astrophysics
We investigate the statistics of the available Pantheon+ dataset. Noticing that the $χ^2$ value for the best-fit $Λ$CDM model to the real data is small, we quantify how significant its smallness is by calculating the distribution of $χ^2$ values for the best-fit $Λ$CDM model fit to mock Pantheon+-like datasets, using the provided covariance matrix. We further investigate the distribution of the residuals of the Pantheon+ dataset with respect to the best-fit $Λ$CDM model, and notice that they scatter less than would be expected from the covariance matrix but find no significant kurtosis. These results point to the conclusion that the Pantheon+ covariance matrix is over-estimated. One simple interpretation of these results is a $\sim$7\% overestimation of errors on SN distance moduli in Pantheon+ data. When the covariance matrix is reduced by subtracting an intrinsic scatter term from the diagonal terms of the covariance matrix, the best-fit $χ^2$ for the $Λ$CDM model achieves a normal value of 1580 and no deviation from $Λ$CDM is detected. We further quantify how consistent the $Λ$CDM model is with respect to the modified data with the subtracted covariance matrix using model-independent reconstruction techniques such as the iterative smoothing method. We find that the standard model is consistent with the data. There are a number of potential explanations for this smallness of the $χ^2$, such as a Malmquist bias at high redshift, or accounting for systematic uncertainties by adding them to the covariance matrix, thus approximating systematic uncertainties as statistical ones.
title An Analysis of Variance of the Pantheon+ Dataset: Systematics in the Covariance Matrix?
topic Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2212.07917