4.7 Article

SPECTROSCOPIC DETERMINATION OF THE LOW-REDSHIFT TYPE Ia SUPERNOVA RATE FROM THE SLOAN DIGITAL SKY SURVEY

期刊

ASTROPHYSICAL JOURNAL
卷 731, 期 1, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/0004-637X/731/1/42

关键词

methods: statistical; supernovae: general; techniques: spectroscopic

资金

  1. NSF [AST-0851007]
  2. DOE [DE-FG02-87ER40315]
  3. Alfred P. Sloan Foundation
  4. National Science Foundation
  5. U.S. 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)
  25. Los Alamos National Laboratory
  26. Max-Planck-Institute for Astronomy (MPIA)
  27. Max-Planck-Institute for Astrophysics (MPA)
  28. New Mexico State University
  29. Ohio State University
  30. University of Pittsburgh
  31. University of Portsmouth
  32. Princeton University
  33. United States Naval Observatory
  34. University of Washington

向作者/读者索取更多资源

Supernova rates (SNRs) are directly coupled to high-mass stellar birth and evolution. As such, they are one of the few direct measures of the history of cosmic stellar evolution. In this paper, we describe a probabilistic technique for identifying supernovae within spectroscopic samples of galaxies. We present a study of 52 Type Ia supernovae ranging in age from -14 days to +40 days extracted from a parent sample of similar to 350,000 spectra from the SDSS DR5. We find an SNR of 0.472(-0.039)(+0.048) (Systematic)(-0.071)(+0.081)(Statistical)SNu at a redshift of < z > = 0.1. This value is higher than other values at low redshift at the 1 sigma level, but is consistent at the 3 sigma level. In this paper, we demonstrate the potential for the described approach to detect supernovae in future spectroscopic surveys.

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