The delay-time distribution of type-Ia supernovae from Sloan II
Dan Maoz, Filippo Mannucci, and Timothy D. Brandt

TL;DR
This paper derives a detailed delay-time distribution for type-Ia supernovae using SDSS II data, revealing a continuous power-law distribution consistent with binary white dwarf merger models and providing precise supernova rate estimates.
Contribution
It introduces a new method for recovering the SN Ia delay-time distribution using individual galaxy star-formation histories and a simulation-based detection efficiency, improving accuracy over previous studies.
Findings
The DTD has significant detections in prompt, intermediate, and delayed time bins.
The best-fit power-law DTD is approximately t^(-1.12), aligning with binary white dwarf merger models.
The integrated SN Ia rate per stellar mass is about 0.00130 Msun^-1, consistent with some recent estimates.
Abstract
We derive the delay-time distribution (DTD) of type-Ia supernovae (SNe Ia) using a sample of 132 SNe Ia, discovered by the Sloan Digital Sky Survey II (SDSS2) among 66,000 galaxies with spectral-based star-formation histories (SFHs). To recover the best-fit DTD, the SFH of every individual galaxy is compared, using Poisson statistics, to the number of SNe that it hosted (zero or one), based on the method introduced in Maoz et al. (2011). This SN sample differs from the SDSS2 SN Ia sample analyzed by Brandt et al. (2010), using a related, but different, DTD recovery method. Furthermore, we use a simulation-based SN detection-efficiency function, and we apply a number of important corrections to the galaxy SFHs and SN Ia visibility times. The DTD that we find has 4-sigma detections in all three of its time bins: prompt (t < 420 Myr), intermediate (0.4 < t < 2.4 Gyr), and delayed (t > 2.4…
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