The sloan digital sky survey-II: Photometry and supernova ia light curves from the 2005 data

Jon A. Holtzman, John Marriner, Richard Kessler, Masao Sako, Ben Dilday, Joshua A. Frieman, Donald P. Schneider, Bruce Bassett, Andrew Becker, David Cinabro, Fritz Dejongh, Darren L. Depoy, Mamoru Doi, Peter M. Garnavich, Craig J. Hogan, Saurabh Jha, Kohki Konishi, Hubert Lampeitl, Jennifer L. Marshall, David McGinnisGajus Miknaitis, Robert C. Nichol, Jose Luis Prieto, Adam G. Riess, Michael W. Richmond, Roger Romani, Mathew Smith, Naohiro Takanashi, Kouichi Tokita, Kurt Van Der Heyden, Naoki Yasuda, Chen Zheng

Research output: Contribution to journalArticlepeer-review

148 Scopus citations

Abstract

We present ugriz light curves for 146 spectroscopically-confirmed or spectroscopically-probable Type Ia supernovae (SNe) from the 2005 season of the Sloan Digital Sky Survey-II Supernova (SN) survey. The light curves have been constructed using a photometric technique that we call scene modeling, which is described in detail here; the major feature is that SN brightnesses are extracted from a stack of images without spatial resampling or convolution of the image data. This procedure produces accurate photometry along with accurate estimates of the statistical uncertainty, and can be used to derive photometry taken with multiple telescopes. We discuss various tests of this technique that demonstrate its capabilities. We also describe the methodology used for the calibration of the photometry, and present calibrated magnitudes and fluxes for all of the spectroscopic SNe Ia from the 2005 season.

Original languageEnglish (US)
Pages (from-to)2306-2320
Number of pages15
JournalAstronomical Journal
Volume136
Issue number6
DOIs
StatePublished - 2008

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

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