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Fully-Automated Reduction of Longslit Spectroscopy with the Low Resolution Imaging Spectrometer at Keck Observatory

Perley, DA (2019) Fully-Automated Reduction of Longslit Spectroscopy with the Low Resolution Imaging Spectrometer at Keck Observatory. Publications of the Astronomical Society of the Pacific, 131 (1002). ISSN 0004-6280

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Abstract

I present and summarize a software package ("LPipe") for completely automated, end-to-end reduction of both bright and faint sources with the Low-Resolution Imaging Spectrometer (LRIS) at Keck Observatory. It supports all gratings, grisms, and dichroics, and also reduces imaging observations, although it does not include multislit or polarimetric reduction capabilities at present. It is suitable for on-the-fly quicklook reductions at the telescope, for large-scale reductions of archival data-sets, and (in many cases) for science-quality post-run reductions of PI data. To demonstrate its capabilities the pipeline is run in fully-automated mode on all LRIS longslit data in the Keck Observatory Archive acquired during the 12-month period between August 2016 and July 2017. The reduced spectra (of 675 single-object targets, totaling ~200 hours of on-source integration time in each camera), and the pipeline itself, are made publicly available to the community.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Perley, DA. Fully-Automated Reduction of Longslit Spectroscopy with the Low Resolution Imaging Spectrometer at Keck Observatory. Publications of the Astronomical Society of the Pacific. Vol:131 (1002) , which has been published in final form at https://doi.org/10.1088/1538-3873/ab215d
Uncontrolled Keywords: astro-ph.IM; astro-ph.IM
Subjects: Q Science > QB Astronomy
Q Science > QC Physics
Divisions: Astrophysics Research Institute
Publisher: IOP Publishing
Related URLs:
Date Deposited: 05 Jul 2019 09:34
Last Modified: 05 Jul 2019 09:45
DOI or Identification number: 10.1088/1538-3873/ab215d
URI: http://researchonline.ljmu.ac.uk/id/eprint/10980

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