4.7 Article

The delay-time distribution of Type Ia supernovae from Sloan II

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 426, Issue 4, Pages 3282-3294

Publisher

WILEY-BLACKWELL
DOI: 10.1111/j.1365-2966.2012.21871.x

Keywords

methods: data analysis; supernovae: general; galaxies: star formation

Funding

  1. Israel Science Foundation
  2. National Science Foundation [DGE-0646086]
  3. Alfred P. Sloan Foundation
  4. National Science Foundation
  5. US Department of Energy
  6. National Aeronautics and Space Administration
  7. Japanese Monbukagakusho
  8. Max Planck Society
  9. Higher Education Funding Council for England
  10. American Museum of Natural History
  11. Astrophysical Institute Potsdam
  12. University of Basel
  13. University of Cambridge
  14. Case Western Reserve University
  15. University of Chicago
  16. Drexel University
  17. Fermilab
  18. Institute for Advanced Study
  19. Japan Participation Group
  20. Johns Hopkins University
  21. Joint Institute for Nuclear Astrophysics
  22. Kavli Institute for Particle Astrophysics and Cosmology
  23. Korean Scientist Group
  24. Chinese Academy of Sciences (LAMOST), Los Alamos National Laboratory
  25. Max-Planck-Institute for Astronomy (MPIA)
  26. Max-Planck-Institute for Astrophysics (MPA)
  27. New Mexico State University
  28. Ohio State University
  29. University of Pittsburgh
  30. University of Portsmouth
  31. Princeton University
  32. United States Naval Observatory
  33. University of Washington

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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-fitting 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. This SN sample differs from the SDSS2 SN Ia sample analysed by Brandt et al., 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 4s detections in all three of its time bins: prompt (t < 0.42 Gyr), intermediate (0.42 < t < 2.4 Gyr) and delayed (t > 2.4 Gyr), indicating a continuous DTD, and it is among the most accurate and precise among recent DTD reconstructions. The best-fitting power-law form to the recovered DTD is t-1.07 +/- 0.07, consistent with generic similar to t-1 predictions of SN Ia progenitor models based on the gravitational-wave-induced mergers of binary white dwarfs. The time-integrated number of SNe Ia per formed stellar mass is NSN/M = 0.00130 +/- 0.00015 M -1, or about 4 per cent of the stars formed with initial masses in the 3 - 8 M range. This is lower than, but largely consistent with, several recent DTD estimates based on SN rates in galaxy clusters and in local-volume galaxies, and is higher than, but consistent with NSN/M estimated by comparing volumetric SN Ia rates to cosmic SFH.

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