1. Gemini Planet Imager Observational Calibrations I: Overview of the GPI Data Reduction Pipeline
- Author
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Markus Hartung, Jean-Baptiste Ruffio, Patrick Ingraham, Christian Marois, James R. Graham, David Lafrenière, Mathilde Beaulieu, David Palmer, Naru Sadakuni, Fredrik T. Rantakyrö, Michael P. Fitzgerald, Abhijith Rajan, Jason J. Wang, Sandrine Thomas, Jeffrey Chilcote, Pascale Hibon, Anand Sivaramakrishnan, James E. Larkin, Alexandra Z. Greenbaum, Laurent Pueyo, Max Millar-Blanchaer, Jennifer Patience, Marshall D. Perrin, Stephen J. Goodsell, Schuyler Wolff, Robert J. De Rosa, Jean-François Lavigne, Dmitry Savransky, Zachary H. Draper, Kimberly Ward-Duong, Rémi Soummer, Franck Marchis, Jérôme Maire, Sloane J. Wiktorowicz, Bruce Macintosh, Quinn Konopacky, Kathleen Labrie, René Doyon, Space Telescope Science Institute (STScI), Dunlap Institute for Astronomy and Astrophysics, Univ. of Toronto (Canada), Kavli Institute for Particle Astrophysics and Cosmology, Stanford Univ. (United States), Center for Radiophysics and Space Research, Cornell University (CRSR), Department of Physics and Astronomy, University of Toronto, Johns Hopkins University (JHU), SETI Institute (United States), Univ. of California, Berkeley (United States), Department of Physics and Astronomy, University of Victoria, Gemini Observatory, Southern Operations Center, National Research Council of Canada (NRC), Arizona State University, University of California, Los Angeles (UCLA), Univ. de Montreal (Canada), Lawrence Livermore National Laboratory (LLNL), Gemini Observatory, Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA), ABB, Inc. (Canada), Institut de Mécanique Céleste et de Calcul des Ephémérides (IMCCE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), NASA Ames Research Center (ARC), and University of California, Santa Cruz (UCSC)
- Subjects
High contrast imaging ,010504 meteorology & atmospheric sciences ,Infrared ,Computer science ,Pipeline (computing) ,Astronomy ,Polarimetry ,FOS: Physical sciences ,01 natural sciences ,Integral Field Spectroscopy ,Integral field spectrograph ,Software ,Spectrographs ,Computer graphics (images) ,Scientific analysis ,0103 physical sciences ,Gemini Planet Imager ,010303 astronomy & astrophysics ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,0105 earth and related environmental sciences ,Pipelines ,Earth and Planetary Astrophysics (astro-ph.EP) ,Data reduction ,business.industry ,Reduction systems ,Open source software ,Data handling ,Exoplanet ,Polarization modes ,Extrasolar planets ,Calibration ,Exo-planets ,business ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - Instrumentation and Methods for Astrophysics ,Polarimeters ,Astrophysics - Earth and Planetary Astrophysics - Abstract
The Gemini Planet Imager (GPI) has as its science instrument an infrared integral field spectrograph/polarimeter (IFS). Integral field spectrographs are scientificially powerful but require sophisticated data reduction systems. For GPI to achieve its scientific goals of exoplanet and disk characterization, IFS data must be reconstructed into high quality astrometrically and photometrically accurate datacubes in both spectral and polarization modes, via flexible software that is usable by the broad Gemini community. The data reduction pipeline developed by the GPI instrument team to meet these needs is now publicly available following GPI's commissioning. This paper, the first of a series, provides a broad overview of GPI data reduction, summarizes key steps, and presents the overall software framework and implementation. Subsequent papers describe in more detail the algorithms necessary for calibrating GPI data. The GPI data reduction pipeline is open source, available from planetimager.org, and will continue to be enhanced throughout the life of the instrument. It implements an extensive suite of task primitives that can be assembled into reduction recipes to produce calibrated datasets ready for scientific analysis. Angular, spectral, and polarimetric differential imaging are supported. Graphical tools automate the production and editing of recipes, an integrated calibration database manages reference files, and an interactive data viewer customized for high contrast imaging allows for exploration and manipulation of data., Ground-Based and Airborne Instrumentation for Astronomy V, June 22-26, 2014, Series: Proceedings of SPIE; no. 9147
- Published
- 2014
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