Data reduction software for the Gemini high resolution optical spectrograph

Michael J. Ireland*, Marc White, Joao P. Bento, Tony Farrell, Kathleen Labrie, Lance Luvaul, Jon G. Nielsen, Chris Simpson

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Citations (Scopus)

    Abstract

    The data reduction software for the Gemini High Resolution Optical SpecTrograph (GHOST) presents a number of unusual challenges. Star light from one or two objects and simultaneous sky is collected in integral field units rather than a slit or well-separated fibers. When used with binning, individual fibers are not resolved, and the optimal pixel weighting is derived from a simultaneous slit viewing camera. We describe the data reduction approach taken, including testing using an optical physics-based data simulator, and an object-oriented and modular approach to spectral extraction that fits within the Gemini recipe system, DRAGONS, using AstroConda.

    Original languageEnglish
    Title of host publicationSoftware and Cyberinfrastructure for Astronomy V
    EditorsJuan C. Guzman, Jorge Ibsen
    PublisherSPIE
    ISBN (Print)9781510619678
    DOIs
    Publication statusPublished - 2018
    EventSoftware and Cyberinfrastructure for Astronomy V 2018 - Austin, United States
    Duration: 10 Jun 201813 Jun 2018

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume10707
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferenceSoftware and Cyberinfrastructure for Astronomy V 2018
    Country/TerritoryUnited States
    CityAustin
    Period10/06/1813/06/18

    Fingerprint

    Dive into the research topics of 'Data reduction software for the Gemini high resolution optical spectrograph'. Together they form a unique fingerprint.

    Cite this