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SDSS data management and photometric quality assessment
Author(s) -
Ivezić Ž.,
Lupton R. H.,
Schlegel D.,
Boroski B.,
AdelmanMcCarthy J.,
Yanny B.,
Kent S.,
Stoughton C.,
Finkbeiner D.,
Padmanabhan N.,
Rockosi C. M.,
Gunn J. E.,
Knapp G. R.,
Strauss M. A.,
Richards G. T.,
Eisenstein D.,
Nicinski T.,
Kleinman S. J.,
Krzesinski J.,
Newman P. R.,
Snedden S.,
Thakar A. R.,
Szalay A.,
Munn J. A.,
Smith J. A.,
Tucker D.,
Lee B. C.
Publication year - 2004
Publication title -
astronomische nachrichten
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 63
eISSN - 1521-3994
pISSN - 0004-6337
DOI - 10.1002/asna.200410285
Subject(s) - sky , physics , calibration , astrophysics , photometry (optics) , remote sensing , astronomy , stars , geology , quantum mechanics
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). (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)