Astronomy and Astrophysics – Astronomy
Scientific paper
Sep 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004spie.5493..460b&link_type=abstract
Optimizing Scientific Return for Astronomy through Information Technologies. Edited by Quinn, Peter J.; Bridger, Alan. Proceed
Astronomy and Astrophysics
Astronomy
Scientific paper
IRAC, the Infrared Array Camera on the Spitzer Space Telescope, generated well over 150,000 images during the in-orbit checkout and science verification phase of the mission. All of these were processed with SIP, the SAO IRAC Pipeline. SIP was created by and for the members of the IRAC instrument team at the Smithsonian Astrophysical Observatory, to allow short-timescale data processing and rapid-turnaround software testing and algorithm modification. SIP makes use of perl scripting and data mirroring to transfer and manage data, a mySQL database to select calibration data, and Python/numarray to process the image data; it is designed to run with no user interaction. SIP is fast, flexible, and robust. We present some 'lessons learned' from the construction and maintenance of SIP, and discuss prospects for future improvement.
Ashby Matthew L.
Barmby Pauline
Marengo Massimo
Wang Zhong
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