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Title:
The Astro-WISE optical image pipeline. Development and implementation
Authors:
McFarland, John P.; Verdoes-Kleijn, Gijs; Sikkema, Gert; Helmich, Ewout M.; Boxhoorn, Danny R.; Valentijn, Edwin A.
Affiliation:
AA(Kapteyn Astronomical Institute, Groningen, AV, The Netherlands), AB(Kapteyn Astronomical Institute, Groningen, AV, The Netherlands), AC(Kapteyn Astronomical Institute, Groningen, AV, The Netherlands), AD(Kapteyn Astronomical Institute, Groningen, AV, The Netherlands), AE(Kapteyn Astronomical Institute, Groningen, AV, The Netherlands), AF(Kapteyn Astronomical Institute, Groningen, AV, The Netherlands)
Publication:
Experimental Astronomy, Volume 35, Issue 1-2, pp. 45-78 (ExA Homepage)
Publication Date:
01/2013
Origin:
SPRINGER
Keywords:
Wide-field imaging, Data processing, Information system
Abstract Copyright:
(c) 2013: The Author(s)
DOI:
10.1007/s10686-011-9266-x
Bibliographic Code:
2013ExA....35...45M

Abstract

We have designed and implemented a novel way to process wide-field astronomical data within a distributed environment of hardware resources and humanpower. The system is characterized by integration of archiving, calibration, and post-calibration analysis of data from raw, through intermediate, to final data products. It is a true integration thanks to complete linking of data lineage from the final catalogs back to the raw data. This paper describes the pipeline processing of optical wide-field astronomical data from the WFI (http://www.eso.org/lasilla/instruments/wfi/) and OmegaCAM (http://www.astro-wise.org/~omegacam/) instruments using the Astro-WISE information system (the Astro-WISE Environment or simply AWE). This information system is an environment of hardware resources and humanpower distributed over Europe. AWE is characterized by integration of archiving, data calibration, post-calibration analysis, and archiving of raw, intermediate, and final data products. The true integration enables a complete data processing cycle from the raw data up to the publication of science-ready catalogs. The advantages of this system for very large datasets are in the areas of: survey operations management, quality control, calibration analyses, and massive processing.
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