Delay Time Distributions of Type Ia Supernovae From Galaxy and Cosmic Star Formation Histories

Abstract

We present analytical reconstructions of type Ia supernova (SN Ia) delay time distributions (DTDs) by way of two independent methods: by a Markov chain Monte Carlo best-fit technique comparing the volumetric SN Ia rate history to today's compendium cosmic star-formation history, and secondly through a maximum likelihood analysis of the star formation rate histories of individual galaxies in the GOODS/CANDELS field, in comparison to their resultant SN Ia yields. We adopt a flexible skew-normal DTD model, which could match a wide range of physically motivated DTD forms. We find a family of solutions that are essentially exponential DTDs, similar in shape to the $\beta \approx -1$ power-law DTDs, but with more delayed events (>1 Gyr in age) than prompt events (<1 Gyr). Comparing these solutions to delay time measures separately derived from field galaxies and galaxy clusters, we find the skew-normal solutions can accommodate both without requiring a different DTD form in different environments. These model fits are generally inconsistent with results from single-degenerate binary population synthesis models, and are seemingly supportive of double-degenerate progenitors for most SN Ia events.

20 pages, including 14 figures

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Cited by in corpus (3)

• The Diversity and Variability of Star Formation Histories in Models of Galaxy Evolution
• Neutron star mergers as the astrophysical site of the r-process in the Milky Way and its satellite galaxies
• Host Galaxy Mass Combined with Local Stellar Age Improve Type Ia Supernovae Distances