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MASE: A New Data-Reduction Pipeline for the Magellan Echellette Spectrograph

2009/10/09 by John J. Bochanski, Joseph F. Hennawi, Robert A. Simcoe +10
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Astronomical Observations and Instrumentation #Astronomy #Astronomy and Astrophysical Research #Computational Physics and Python Applications #Computer science #Data mining #Data reduction #Environmental science #Geology #Geometry #Mathematics #Physics #Pipeline (software) #Reduction (mathematics) #Spectral line #Spectrograph #astro-ph.IM

paper · pdf · doi:10.1086/648597

10 pages (ApJ format), accepted PASP

arxiv created 2009/10/09 · openalex publication_date 2009/11/16 · arxiv updated 2015/05/14 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

We introduce a data-reduction package written in Interactive Data Language (IDL) for the Magellan Echellete Spectrograph (MAGE). MAGE is a medium-resolution ( R ∼ 4100), cross-dispersed, optical spectrograph, with coverage from . The MAGE Spectral Extractor (MASE) incorporates the entire image reduction and calibration process, including bias subtraction, flat fielding, wavelength calibration, sky subtraction, object extraction, and flux calibration of point sources. We include examples of the user interface and reduced spectra. We show that the wavelength calibration is sufficient to achieve ∼5 km s -1 rms accuracy and relative flux calibrations better than 10%. A lightweight version of the full reduction pipeline has been included for real-time source extraction and signal-to-noise estimation at the telescope.

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