Redshift Evolution of the HII Galaxy $L$-$\sigma$ Relation: Gaussian Process Analysis and Cosmological Implications
Jiaze Gao, Yun Chen, Lixin Xu

TL;DR
This study investigates whether the $L$-$\sigma$ relation in HII galaxies evolves with redshift using Gaussian Process regression and Bayesian analysis, finding evidence for redshift dependence influenced by bias and dispersion modeling.
Contribution
It introduces a Bayesian framework to test for redshift evolution of the $L$-$\sigma$ relation, emphasizing the importance of intrinsic dispersion and selection effects.
Findings
Logarithmic redshift correction improves fit at high z
Evidence for evolution depends on dispersion modeling
Malmquist bias affects low- and high-z sample comparisons
Abstract
The empirical correlation between the H luminosity () and the ionized gas velocity dispersion () in HII starburst galaxies (HIIGs) provides a foundation for using them as cosmological standard candles. A key unresolved issue is whether this - relation changes with redshift, which would impact its application at high redshifts. We test for possible evolution using cosmology-independent distance estimates up to , obtained from Gaussian Process regression of the Pantheon+ Type Ia supernovae Hubble diagram. These distances allow us to compare the standard - relation with three redshift-dependent extensions through Bayesian model comparison. We find that a logarithmic redshift correction is statistically preferred when the intrinsic dispersion of the relation is explicitly modeled, significantly improving the fit to high- data. However,…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Radio Astronomy Observations and Technology
