An improved standardization framework for Type II-P supernovae using a hierarchical Bayesian approach
arXiv:2609.39804
Abstract
We use Type II-P supernovae (SNe II-P) observed as part of the Nearby Supernova Factory (SNfactory) experiment as standardizable candles to develop an improved standardization framework. The data consist of accurately flux-calibrated, host-subtracted spectrophotometry of low-redshift SNe II-P in the wavelength range ${\unicode{xC5}}$. We develop an improved method to determine the expansion velocities of SNe II-P based on Gaussian Process regression. We extend the conventional standardized candle method (SCM) by an additional correction term containing the H absorption-to-emission ratio and a hierarchical Bayesian framework. We find that the additional correction improves the quality of the standardization, particularly around to days after the explosion. We are able to reduce the scatter of the Hubble-flow SNe II-P from mag down to mag compared to previous work. As an example application of this methodology we measure using a pre-existing calibrator sample of SNe~II having Cepheid- or TRGB-based distance moduli. We find a value of km s Mpc, including only statistical uncertainty, corresponding to a precision of %. We find variations of km s Mpc between hierarchical model variations --- well within our quoted statistical uncertainty. Without the additional correction term, we obtain km s Mpc (% precision) highlighting the improved precision of our new methodology. We identify and discuss inconsistencies between the measured parent populations of the calibrator and Hubble-flow standardization characteristics --- present in this and literature samples --- that are not explained by a simple selection on magnitude and which will need to be improved upon as SN II-P samples grow.
54 pages, 67 figures, accepted for publication in A&A. Appendices contain additional figures compared to the A&A version