Introduction

The Heinrich Hertz Telescope on Mt. Graham is a 10-meter dish of 15 micron surface accuracy, optimized for studying the Universe at submillimeter wavelengths (between 0.3-1.4 mm, or 200-900 GHz). It has seen routine scientific use since 1996. One of the principal observing modes at thsi telescope is high-resolution spectroscopy, made possible by sensitive heterodyne receivers (and soon, array receivers) and backend spectrometers. This document follows the reduction of several spectroscopic datasets to publishable results, and includes easily-installable RPM packages of the GILDAS software for use at your home institution. It documents a method of data reduction which is robust and optimized for getting the most from your data. It is certainly not the only way, but it should save you a lot of time. If you find a way to improve the techniques provided here, I want to know!

CO 3-2 map of NGC 2024
A CO study of the NGC 2024 cloud core, taken at the HHT in 1997 and 1998. Click on thumbnail image to view full-size.

Things to Think About...

On-source integration times tend to be rather short at submillimeter wavelengths, typically 15 seconds or so. Using position switching, this integration time is typically limited by the very transient stability of the atmosphere. In fact, on-the-fly (OTF) mapping techniques adopt very short integration times (2-4 seconds for slow OTF, small fractions of a second for rapid OTF) to map as large a portion of the sky in as short a time as possible. Beam-switching moves the telescope rapidly (a few Hz) between source and clean sky, so this becomes less of an issue. However, receiver and spectrometer stability often place a practical limit on the integration times used; even in beam-switching mode, observers will frequently switch between the OFF and ON source beams, perhaps every 30-60 seconds or so.

Because of these restrictions, in order to perform sensitive spectroscopic observations, many separate integrations must be coadded and weighted. In addition, basic instrumental features, like offset baselines and bad scans must be eliminated. Regularly sampled spectral line maps are easy to assemble and convolve to the natural beamsize. In contrast, randomly-sampled on-the-fly maps must be specially handled, typically convolved and gridded to yield similar results. Moment maps can be constructed, yielding imagery of the integrated intensities, line centroid velocities, and line widths. Channel maps, in which the integated intensity map is chopped up into separate maps at different velocities, may also be constructed. Finally, spectra and maps can be annotated to result in a plot that is suitable for publication.

Ready to go?
Well, we're starting anyway. :)

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Craig Kulesa
Last modified: Mon Aug 6 13:03:24 MST 2001