Post-pipeline Processing of Deep Spitzer Data for the GOODS Legacy Project

Details Post-pipeline Processing of Deep Spitzer Data for the GOODS Legacy Project Post-pipeline Processing of Deep Spitzer Data for the GOODS Legacy Project

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005aspc..347..454g&link_type=abstract

Astronomical Data Analysis Software and Systems XIV ASP Conference Series, Vol. 347, Proceedings of the Conference held 24-27 Oc

Astronomy and Astrophysics

Astronomy

Scientific paper

The GOODS Legacy Project has acquired the deepest images planned to be taken by Spitzer from 3.6 to 24 micron, with effective exposure times of up to 100 hours for IRAC. Optimal analysis of these data requires an effective calibration noise better than a part in 10,000. Starting from the high-quality calibrated frames delivered by the Spitzer Science Center pipeline, we employ a variety of techniques to validate and improve the calibration quality and obtain combined deep images that fulfill the requirements imposed by the GOODS science goals. Post-pipeline processing includes correction for instrumental artifacts, improved alignment, and image combination using drizzle-related techniques. We indicate the improvements obtained with each of the techniques employed.

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