SDSS data management and photometric quality assessment

  • Ž Ivezić
  • , R. H. Lupton
  • , D. Schlegel
  • , B. Boroski
  • , J. Adelman-McCarthy
  • , B. Yanny
  • , S. Kent
  • , C. Stoughton
  • , D. Finkbeiner
  • , N. Padmanabhan
  • , C. M. Rockosi
  • , J. E. Gunn
  • , G. R. Knapp
  • , M. A. Strauss
  • , G. T. Richards
  • , D. Eisenstein
  • , T. Nicinski
  • , S. J. Kleinman
  • , J. Krzesinski
  • , P. R. Newman
  • S. Snedden, A. R. Thakar, A. Szalay, J. A. Munn, J. A. Smith, D. Tucker, B. C. Lee

Research output: Contribution to journalArticlepeer-review

Abstract

We summarize the Sloan Digital Sky Survey data acquisition and processing steps, and describe runQA, a pipeline designed for automated data quality assessment. In particular, we show how the position of the stellar locus in color-color diagrams can be used to estimate the accuracy of photometric zeropoint calibration to better than 0.01 mag in 0.03 deg 2 patches. Using this method, we estimate that typical photometric zeropoint calibration errors for SDSS imaging data are not larger than ∼ 0.01 mag in the g, r, and i bands, 0.02 mag in the z band, and 0.03 mag in the u band (root-mean-scatter for zeropoint offsets).

Original languageEnglish (US)
Pages (from-to)583-589
Number of pages7
JournalAstronomische Nachrichten
Volume325
Issue number6-8
DOIs
StatePublished - 2004

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • Methods: data analysis
  • Stars: fundamental parameters
  • Stars: statistics
  • Surveys
  • Techniques: photometric

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