Massive data reduction for massive surveys: SPM and NDWFS

Details Massive data reduction for massive surveys: SPM and NDWFS Massive data reduction for massive surveys: SPM and NDWFS

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009rmxac..35..261h&link_type=abstract

XII Latin American IAU Regional Meeting (Eds. G. Magris, G. Bruzual, & L. Carigi) Revista Mexicana de Astronomía y Astrofísica (

Astronomy and Astrophysics

Astronomy

Methods: Data Analysis, Surveys

Scientific paper

I show some methods for effective and automatic reduction of data in two large surveys: the Southern Proper Motion project (SPM), and the NOAO Deep Wide Field Survey (NDWFS). The data reduction in both cases involves a somewhat intrincate but successful interaction among programs, languages and scripts, leading to a better, smarter use of the astronomer time during the reduction process, and to a more reliable consistency of the results. This pipelining of the reduction process can be easily applied to any survey with large detectors and large amounts of data.

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