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| Paper: |
The QuickReduce Data Reduction Pipeline for the WIYN One Degree Imager |
| Volume: |
485, Astronomical Data Analysis Software and Systems XXIII |
| Page: |
375 |
| Authors: |
Kotulla, R. |
| Abstract: |
Optimizing one's observing strategy while at the telescope relies on
knowing the current observing conditions and the obtained data
quality. In particular the latter is not straight forward with current
wide-field imagers, such as the WIYN One Degree Imager (ODI), currently
consisting of 13 detectors, each of them read out in 64 independent
cells. Here we present a fast data reduction software for ODI, optimized
for a first data inspection during acquisition at the the telescope, but
capable enough for science-quality data reductions. The pipeline is
coded in pure python with minimal additional requirements. It is
installed on the ODI observer's interface and publicly available from
the author's webpage. It performs all basic reduction steps as well as
more advanced corrections for pupil-ghost removal, fringe correction and
masking of persistent pixels. Additional capabilities include adding an accurate astrometric WCS solution based on the 2MASS reference system as
well as photometric zeropoint calibration for frames covered by the SDSS
foot-print. The pipeline makes use of multiple CPU-cores wherever
possible, resulting in an execution time of only a few seconds per
frame. As such this QuickReduce pipeline offers the ODI observer a
convenient way to closely monitor data quality, a necessity to optimize
the observing strategy during the night. |
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