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P. B. Cameron (Caltech)
I present software for the rapid reduction of large quantities of continuum and spectral line data from the Very Large Array. The first component of the software consists of procedures written for the Astronomical Image Processing System (AIPS) which can quickly accomplish basic flagging, robust calibration, and simple imaging of a single, multi-source UV data file. The second piece consists of a python script that drives these AIPS procedures through numerous UV data sets. The script is designed to require almost zero user input while keeping the user informed of progress and possible problems. It accomplishes this task by gathering all of the information relevant for reduction from the raw data header and various VLA calibrator manuals, then delivering it to AIPS. This pipeline is well suited for projects involving large amounts of public data from the NRAO Data Archive.
I acknowledge support from the National Radio Astronomy Observatory which is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc.
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Bulletin of the American Astronomical Society, 36 5
© 2004. The American Astronomical Society.