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
- NSF [AST-0851007]
- DOE [DE-FG02-87ER40315]
- Alfred P. Sloan Foundation
- National Science Foundation
- U.S. Department of Energy
- National Aeronautics and Space Administration
- Japanese Monbukagakusho
- Max Planck Society
- Higher Education Funding Council for England
- American Museum of Natural History
- Astrophysical Institute Potsdam,
- University of Basel
- University of Cambridge
- Case Western Reserve University
- University of Chicago
- Drexel University
- Fermilab
- Institute for Advanced Study
- Japan Participation Group
- Johns Hopkins University
- Joint Institute for Nuclear Astrophysics
- Kavli Institute for Particle Astrophysics and Cosmology
- Korean Scientist Group
- Chinese Academy of Sciences (LAMOST)
- Los Alamos National Laboratory
- Max-Planck-Institute for Astronomy (MPIA)
- Max-Planck-Institute for Astrophysics (MPA)
- New Mexico State University
- Ohio State University
- University of Pittsburgh
- University of Portsmouth
- Princeton University
- United States Naval Observatory
- University of Washington
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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