Spectroscopic determination of the low-redshift Type Ia supernova rate from the sloan digital sky survey

K. Simon Krughoff, Andrew J. Connolly, Joshua Frieman, Mark Subbarao, Gary Kilper, Donald P. Schneider

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

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 ∼350,000 spectra from the SDSS DR5. We find an SNR of 0.472+0.048 -0.039(Systematic) +0.081 -0.071(Statistical)SNu at a redshift of 〈z〉 = 0.1. This value is higher than other values at low redshift at the 1σ level, but is consistent at the 3σ level. In this paper, we demonstrate the potential for the described approach to detect supernovae in future spectroscopic surveys.

Original languageEnglish (US)
Article number42
JournalAstrophysical Journal
Volume731
Issue number1
DOIs
StatePublished - Apr 10 2011

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

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