2015
DOI: 10.1093/mnras/stv1545
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Automated reduction of sub-millimetre single-dish heterodyne data from the James Clerk Maxwell Telescope using orac-dr

Abstract: With the advent of modern multi-detector 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. The system can automatically detect baseline regions in spectra and automatically determine regridding parameters, all without input from a user. Addi… Show more

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Cited by 39 publications
(32 citation statements)
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“…For The initial reduction of the JCMT jiggle maps was performed using the most up-to-date version of the starlink 5 reduction package orac-dr (Jenness et al 2015). Similar initial reduction was performed for the APEX data using gildas-class 6 .…”
Section: Resultsmentioning
confidence: 99%
“…For The initial reduction of the JCMT jiggle maps was performed using the most up-to-date version of the starlink 5 reduction package orac-dr (Jenness et al 2015). Similar initial reduction was performed for the APEX data using gildas-class 6 .…”
Section: Resultsmentioning
confidence: 99%
“…We reduce the data using the Starlink 41 software package ORAC-DR (Currie et al 2014;Jenness et al 2015) to obtain pipeline-processed data and then convert the spectra to GILDAS/CLASS 42 format for further data processing. A recipe of REDUCE_SCIENCE_BROADLINE with default parameters was adopted for the ORAC-DR pipeline.…”
Section: Observations and Data Reductionmentioning
confidence: 99%
“…All HARP data were processed with the ORAC-DR heterodyne pipeline (Jenness et al 2015) using the REDUCED_SCIENCE_NAR-ROWLINE recipe. In brief, this sorts the time series into temporal order and identifies and rejects spectra affected by high-frequency noise and low-frequency nonastronomical signal using a nonlinearity coefficient of 0.08 (where the best spectra have coefficients <0.025).…”
Section: Harpmentioning
confidence: 99%