4.0 Article Proceedings Paper

SDSS data management and photometric quality assessment

Journal

ASTRONOMISCHE NACHRICHTEN
Volume 325, Issue 6-8, Pages 583-589

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/asna.200410285

Keywords

surveys; techniques; photometric; methods; data analysis; stars; fundamental parameters; stars; statistics

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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 similar to0.01 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).

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