Further support for <i>S</i>8 increasing with effective redshift

ABSTRACT We previously reported an increasing trend in $S_8$ with effective redshift $z_{\textrm {eff}}$ based on $f \sigma _8(z)$ constraints over the redshift range $0 \lesssim z \lesssim 2$. Recently, independent studies presenting data that aligns with the expected trends have appeared. Here, we quantify the statistical significance of the increasing $S_8$ trends in these newer studies by fitting a linear model for the slope $\Delta \, S_8/\Delta \, z_{\textrm {eff}}$ and comparing to mock simulations. We find probabilities of $p = 0.0163$ and $p = 0.0185$, corresponding to approximately $2.1\sigma$ for each data set. The studies overlap in their use of DESI Legacy Survey data, but in one study the role of optical data is to mitigate systematics by removing contaminants from the pipeline. On the plausible assumption that correlations are negligible, we use Fisher’s method to combine the independent probabilities and obtain $p=0.0027$ ($2.8\sigma$). When we incorporate earlier findings, the combined statistical significance reaches between $3\sigma$ and $3.7\sigma$. Finally, we discuss how ‘scatter’ in $\sigma _8$/$S_8$ constraints from recent DESI full-shape galaxy clustering fits this picture at low statistical significance. This letter continues a series of studies initiated in 2020 that explore redshift-dependent $\Lambda$CDM parameters as an indication of model breakdown.

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Publication Details

Journal
Monthly Notices of the Royal Astronomical Society Letters
Published
2025-06-11
DOI
https://doi.org/10.1093/mnrasl/slaf041
Citations
3
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
3.14

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article

Further support for S8 increasing with effective redshift

Eoin Ó Colgáin, Özgür Akarsu, M. M. Sheikh-Jabbari, Anjan A. Sen
3 citations
Monthly Notices of the Royal Astronomical Society Letters
Cancer Immunotherapy and Biomarkers
3.14
article

Further support for S8 increasing with effective redshift

Eoin Ó Colgáin, Özgür Akarsu, M. M. Sheikh-Jabbari, Anjan A. Sen
article en
3 citations

Abstract

ABSTRACT We previously reported an increasing trend in $S_8$ with effective redshift $z_{\textrm {eff}}$ based on $f \sigma _8(z)$ constraints over the redshift range $0 \lesssim z \lesssim 2$. Recently, independent studies presenting data that aligns with the expected trends have appeared. Here, we quantify the statistical significance of the increasing $S_8$ trends in these newer studies by fitting a linear model for the slope $\Delta \, S_8/\Delta \, z_{\textrm {eff}}$ and comparing to mock simulations. We find probabilities of $p = 0.0163$ and $p = 0.0185$, corresponding to approximately $2.1\sigma$ for each data set. The studies overlap in their use of DESI Legacy Survey data, but in one study the role of optical data is to mitigate systematics by removing contaminants from the pipeline. On the plausible assumption that correlations are negligible, we use Fisher’s method to combine the independent probabilities and obtain $p=0.0027$ ($2.8\sigma$). When we incorporate earlier findings, the combined statistical significance reaches between $3\sigma$ and $3.7\sigma$. Finally, we discuss how ‘scatter’ in $\sigma _8$/$S_8$ constraints from recent DESI full-shape galaxy clustering fits this picture at low statistical significance. This letter continues a series of studies initiated in 2020 that explore redshift-dependent $\Lambda$CDM parameters as an indication of model breakdown.

Monthly Notices of the Royal Astronomical Society LettersVol. 542(1)
Institute for Research in Fundamental Sciences (IR), Istanbul Technical University (TR), Jamia Millia Islamia (IN), Institute of Technology Sligo (IE)
National Science Foundation, Abdus Salam International Centre for Theoretical Physics, Iran National Science Foundation, Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, Türkiye Bilimler Akademisi, Science and Engineering Research Board
Openalex Percentile: Top 8%
Cancer Immunotherapy and Biomarkers
3.14
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