Automated reduction of sub-millimetre single-dish heterodyne data from the James Clerk Maxwell Telescope using ORAC-DR

Tim Jenness, Malcolm J. Currie, Remo P.J. Tilanus, Brad Cavanagh, David S. Berry, Jamie Leech, Luca Rizzi

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

With the advent of modern multidetector heterodyne instruments that can result in observations generating thousands of spectra per minute it is no longer feasible to reduce these data as individual spectra. We describe the automated data reduction procedure used to generate baselined data cubes from heterodyne data obtained at the James Clerk Maxwell Telescope (JCMT). The system can automatically detect baseline regions in spectra and automatically determine regridding parameters, all without input from a user. Additionally, it can detect and remove spectra suffering from transient interference effects or anomalous baselines. The pipeline is written as a set of recipes using the ORAC-DR pipeline environment with the algorithmic code using Starlink software packages and infrastructure. The algorithms presented here can be applied to other heterodyne array instruments and have been applied to data from historical JCMT heterodyne instrumentation.

Original languageEnglish (US)
Pages (from-to)73-88
Number of pages16
JournalMonthly Notices of the Royal Astronomical Society
Volume453
Issue number1
DOIs
StatePublished - Jul 24 2015
Externally publishedYes

Keywords

  • Methods: data analysis
  • Submillimetre: general
  • Techniques: image processing
  • Techniques: spectroscopic

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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