Speaker
Description
Core-collapse supernova (SN) rates hold important information on the evolution of galaxies over cosmic time. In this study, we examine the connection between core-collapse SNe and star formation rates (SFRs) using newly derived SN rates from the JWST Advanced Deep Extragalactic Survey (JADES) extending to redshift z ≈ 5. We compare the observed SN rates with the expected rates based on different cosmic star formation histories, employing a Markov Chain Monte Carlo analysis. We explore the effects of dust obscuration of SNe in luminous and ultraluminous infrared galaxies and of failed SNe that collapse to black holes, and use the POSYDON binary population-synthesis framework to model binary evolution and fallback channels and quantify their impact on the predicted SN rates. We also test how different choices of the initial mass function (IMF) affect the results. We find that corrections for dust-obscured and/or failed SNe are particularly important at redshifts z ≳ 1.0. Additionally, our results imply that, within reasonable bounds, the choice of IMF has an insignificant impact on the CCSN rate predictions.