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| Paper: |
Post-pipeline Processing of Deep Spitzer Data for the GOODS Legacy Project |
| Volume: |
347, Astronomical Data Analysis Software and Systems XIV |
| Page: |
454 |
| Authors: |
Grumm, D.; Casertano, S.; Dickinson, M.; Holfeltz, S. |
| Abstract: |
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 highquality 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 drizzlerelated techniques. We indicate the improvements obtained with each of the techniques employed. |
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