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. NewmanS. Snedden, A. R. Thakar, A. Szalay, J. A. Munn, J. A. Smith, D. Tucker, B. C. Lee

Research output: Contribution to journalArticlepeer-review

423 Scopus citations


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
Issue number6-8
StatePublished - 2004

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science


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


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