On the origin of the environmental step: A BayeSN view of the ZTF SN Ia DR2
Madeleine Ginolin, Matthew Grayling, Kaisey S. Mandel, Maximilian Autenrieth, Benjamin M. Boyd, Aaron Do, Lisa Kelsey, Matthew O'Callaghan

TL;DR
This study uses a hierarchical Bayesian model to analyze Type Ia supernovae from the ZTF DR2, revealing environmental influences on their luminosity and confirming the intrinsic nature of these effects.
Contribution
It introduces a new Bayesian approach to disentangle intrinsic and environmental factors affecting SN Ia brightness, improving understanding of systematic uncertainties in cosmology.
Findings
Smaller scatter in Hubble residuals compared to SALT.
Significant magnitude step linked to host environment proxies.
Evidence for intrinsic dependence of SN Ia brightness on environment.
Abstract
Astrophysical variabilities of Type Ia supernovae (SNe Ia), such as their link with their birth environment, are now one of the leading sources of systematic uncertainties on the measurement of the dark energy equation-of-state parameter . Population studies of SNe Ia, using large samples, give precious insights into these variabilities. We analyse a volume-limited subsample of the ZTF SN Ia DR2 with BayeSN, a hierarchical Bayesian model for SN Ia SEDs. We investigate the distributions of SN Ia light curve parameters and their link with SN environment. Using a new training of BayeSN released in a companion paper, we find a smaller scatter of Hubble residuals compared to SALT. We then investigate the magnitude step, which accounts for the correlation between SN Ia standardised absolute magnitude and host environments. We find a posteriori steps of mag (a …
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
