Old Universe, Young SNe Ia: A Statistical Analysis of Type Ia Supernova Progenitor Age from 6,983 TITAN Host Galaxies, and Implications for Cosmology
Yukei Murakami, Jack Tweddle, Phil Wiseman, Saurabh Jha, Adam Riess, Stephen Smartt, Maria Vincenzi, Gautham Adamane Pallathadka, Dillon Brout, David Jones, Daniel Scolnic, Elijah Marlin, Brodie Popovic, Llu\'is Galbany, Brian Schmidt, Keto Zhang, Mitchell Dixon, Conor Larison

TL;DR
This study analyzes a large sample of low-redshift Type Ia supernova host galaxies to investigate progenitor age effects and their impact on cosmological measurements, finding minimal bias from age evolution.
Contribution
It provides the first detailed statistical analysis of progenitor ages in a large low-redshift SN Ia sample, challenging strong-evolution models and quantifying age-related biases.
Findings
Progenitor ages are younger than predicted by strong-evolution models.
Most progenitors are from star-forming hosts with a mean age of 3.5 Gyr.
Redshift-dependent bias in supernova luminosity is consistent with zero.
Abstract
Correlations between standardized Type Ia supernova (SN Ia) luminosities and host-galaxy properties are routinely modeled to avoid bias in cosmological parameter inference. A recent hypothesis attributes these correlations to progenitor-age variations and, combined with a strong (5-6 Gyr) age evolution between low- and high-redshift samples, could alter cosmological conclusions. We test this scenario using the SN Ia host galaxies of TITAN DR1, the largest low-redshift sample of its kind to date (6,983 hosts; 0 z 0.15). Progenitor ages are estimated by combining host-galaxy star-formation histories (SFHs) with empirical delay-time distributions. The SFHs are constrained via spectral energy distribution (SED) fitting of photometry spanning ultraviolet (UV) to mid-infrared (MIR) wavelengths, enabling robust separation of dusty star-forming and quiescent systems.…
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