TL;DR
This paper presents a robust Bayesian analysis showing significant correlation between Type Ia supernova luminosity residuals and stellar environment age, challenging previous conflicting results and emphasizing the importance of proper statistical methods.
Contribution
The study introduces a principled Bayesian regression approach that accounts for regression dilution and uses posterior samples as informative priors, improving the analysis of supernova luminosity evolution.
Findings
Significant correlation between Hubble residuals and stellar environment age (>4σ)
Estimated slope of luminosity evolution is approximately -0.035 mag/Gyr
Highlights the need for advanced statistical methods in supernova cosmology
Abstract
Much of the cosmological utility thus far extracted from Type Ia supernovae (SNe Ia) relies on the assumption that SN~Ia peak luminosities do not evolve significantly with the age (local or global) of their stellar environments. Two recent studies have provided conflicting results in evaluating the validity of this assumption, with one finding no correlation between Hubble residuals (HR) and stellar environment age, while the other claims a significant correlation. In this Letter we perform an independent reanalysis that rectifies issues with the statistical methods employed by both of the aforementioned studies. Our analysis follows a principled approach that properly accounts for regression dilution and critically (and unlike both prior studies) utilises the Bayesian-model-produced SN environment age estimates (posterior samples) instead of point estimates. Moreover, the posterior is…
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