TY - GEN
T1 - Gemini Planet Imager observational calibrations I
T2 - Ground-Based and Airborne Instrumentation for Astronomy V
AU - Perrin, Marshall D.
AU - Maire, Jérôme
AU - Ingraham, Patrick
AU - Savransky, Dmitry
AU - Millar-Blanchaer, Max
AU - Wolff, Schuyler G.
AU - Ruffio, Jean Baptiste
AU - Wang, Jason J.
AU - Draper, Zachary H.
AU - Sadakuni, Naru
AU - Marois, Christian
AU - Rajan, Abhijith
AU - Fitzgerald, Michael P.
AU - MacIntosh, Bruce
AU - Graham, James R.
AU - Doyon, René
AU - Larkin, James E.
AU - Chilcote, Jeffrey K.
AU - Goodsell, Stephen J.
AU - Palmer, David W.
AU - Labrie, Kathleen
AU - Beaulieu, Mathilde
AU - De Rosa, Robert J.
AU - Greenbaum, Alexandra Z.
AU - Hartung, Markus
AU - Hibon, Pascale
AU - Konopacky, Quinn
AU - Lafreniere, David
AU - Lavigne, Jean Francois
AU - Marchis, Franck
AU - Patience, Jenny
AU - Pueyo, Laurent
AU - Rantakyrö, Fredrik T.
AU - Soummer, Rémi
AU - Sivaramakrishnan, Anand
AU - Thomas, Sandrine
AU - Ward-Duong, Kimberly
AU - Wiktorowicz, Sloane
N1 - Publisher Copyright:
© 2014 SPIE.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - data processing
KW - exoplanets
KW - high contrast imaging
KW - integral field spectroscopy
KW - polarimetry
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UR - http://www.scopus.com/inward/citedby.url?scp=84922626788&partnerID=8YFLogxK
U2 - 10.1117/12.2055246
DO - 10.1117/12.2055246
M3 - Conference contribution
AN - SCOPUS:84922626788
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Ground-Based and Airborne Instrumentation for Astronomy V
A2 - Ramsay, Suzanne K.
A2 - McLean, Ian S.
A2 - Takami, Hideki
PB - SPIE
Y2 - 22 June 2014 through 26 June 2014
ER -