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We present analytical reconstructions of type Ia supernova (SN Ia) delay timedistributions (DTDs) by way of two independent methods: by a Markov chain MonteCarlo best-fit technique comparing the volumetric SN Ia rate history to today'scompendium cosmic star-formation history, and secondly through a maximumlikelihood analysis of the star formation rate histories of individual galaxiesin the GOODS/CANDELS field, in comparison to their resultant SN Ia yields. Weadopt a flexible skew-normal DTD model, which could match a wide range ofphysically motivated DTD forms. We find a family of solutions that areessentially 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 derivedfrom field galaxies and galaxy clusters, we find the skew-normal solutions canaccommodate both without requiring a different DTD form in differentenvironments. These model fits are generally inconsistent with results fromsingle-degenerate binary population synthesis models, and are seeminglysupportive of double-degenerate progenitors for most SN Ia events.

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