Automated data reduction workflows for astronomy

Context. Data from complex modern astronomical instruments often consist of a large number of different science and calibration files, and their reduction requires a variety of software tools. The execution chain of the tools represents a complex workflow that needs to be tuned and supervised, often by individual researchers that are not necessarily experts for any specific instrument.

• UO
  University of California, Santa Barbara
• UO
  University of California, Davis
• UO
  University of California, San Diego