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dc.contributor.authorWang, Jason J.
dc.contributor.authorPerrin, Marshall
dc.contributor.authorSavransky, Dmitry
dc.contributor.authorArriaga, Pauline
dc.contributor.authorChilcote, Jeffrey
dc.contributor.authorDe Rosa, Robert J.
dc.contributor.authorMillar-Blanchaer, Maxwell A.
dc.contributor.authorMarois, Christian
dc.contributor.authorRameau, Julien
dc.contributor.authorWolff, Schuyler
dc.contributor.authorShapiro, Jacob
dc.contributor.authorRuffio, Jean-Baptiste
dc.contributor.authorMaire, Jérôme
dc.contributor.authorMarchis, Franck
dc.contributor.authorGraham, James R.
dc.contributor.authorMacintosh, Bruce
dc.contributor.authorAmmons, S. Mark
dc.contributor.authorBailey, Vanessa P.
dc.contributor.authorBarman, Travis S.
dc.contributor.authorBruzzone, Sebastian
dc.contributor.authorBulger, Joanna
dc.contributor.authorCotten, Tara
dc.contributor.authorDoyon, Rene
dc.contributor.authorDuchêne, Gaspard
dc.contributor.authorFitzgerald, Michael P.
dc.contributor.authorFollette, Katherine B.
dc.contributor.authorGoodsell, Stephen J.
dc.contributor.authorGreenbaum, Alexandra Z.
dc.contributor.authorHibon, Pascale
dc.contributor.authorHung, Li-Wei
dc.contributor.authorIngraham, Patrick
dc.contributor.authorKalas, Paul
dc.contributor.authorKonopacky, Quinn
dc.contributor.authorLarkin, James E.
dc.contributor.authorMarley, Mark S.
dc.contributor.authorMetchev, Stanimir
dc.contributor.authorNielsen, Eric L.
dc.contributor.authorOppenheimer, Rebecca
dc.contributor.authorPalmer, David W.
dc.contributor.authorPatience, Jennifer
dc.contributor.authorPoyneer, Lisa A.
dc.contributor.authorPueyo, Laurent
dc.contributor.authorRajan, Abhijith
dc.contributor.authorRantakyro, Fredrik T.
dc.contributor.authorSchneider, Adam C.
dc.contributor.authorSivaramakrishnan, Anand
dc.contributor.authorSong, Inseok
dc.contributor.authorSoummer, Remi
dc.contributor.authorThomas, Sandrine
dc.contributor.authorWallace, J. Kent
dc.contributor.authorWard-Duong, Kimberly
dc.contributor.authorWiktorowicz, Sloane J.
dc.date.accessioned2018-05-15T23:32:24Z
dc.date.available2018-05-15T23:32:24Z
dc.date.issued2018-01
dc.identifier.citationJason J. Wang, Marshall D. Perrin, Dmitry Savransky, Pauline Arriaga, Jeffrey K. Chilcote, Robert J. De Rosa, Maxwell A. Millar-Blanchaer, Christian Marois, Julien Rameau, Schuyler G. Wolff, Jacob Shapiro, Jean-Baptiste Ruffio, Jérôme Maire, Franck Marchis, James R. Graham, Bruce Macintosh, S. Mark Ammons, Vanessa P. Bailey, Travis S. Barman, Sebastian Bruzzone, Joanna Bulger, Tara Cotten, René Doyon, Gaspard Duchêne, Michael P. Fitzgerald, Katherine B. Follette, Stephen Goodsell, Alexandra Z. Greenbaum, Pascale Hibon, Li-Wei Hung, Patrick Ingraham, Paul Kalas, Quinn M. Konopacky, James E. Larkin, Mark S. Marley, Stanimir Metchev, Eric L. Nielsen, Rebecca Oppenheimer, David W. Palmer, Jennifer Patience, Lisa A. Poyneer, Laurent Pueyo, Abhijith Rajan, Fredrik T. Rantakyrö, Adam C. Schneider, Anand Sivaramakrishnan, Inseok Song, Remi Soummer, Sandrine Thomas, J. Kent Wallace, Kimberly Ward-Duong, Sloane J. Wiktorowicz, “Automated data processing architecture for the Gemini Planet Imager Exoplanet Survey,” J. Astron. Telesc. Instrum. Syst. 4(1), 018002 (2018), doi: 10.1117/1.JATIS.4.1.018002.en_US
dc.identifier.issn2329-4124
dc.identifier.doi10.1117/1.JATIS.4.1.018002
dc.identifier.urihttp://hdl.handle.net/10150/627625
dc.description.abstractThe Gemini Planet Imager Exoplanet Survey (GPIES) is a multiyear direct imaging survey of 600 stars to discover and characterize young Jovian exoplanets and their environments. We have developed an automated data architecture to process and index all data related to the survey uniformly. An automated and flexible data processing framework, which we term the Data Cruncher, combines multiple data reduction pipelines (DRPs) together to process all spectroscopic, polarimetric, and calibration data taken with GPIES. With no human intervention, fully reduced and calibrated data products are available less than an hour after the data are taken to expedite follow up on potential objects of interest. The Data Cruncher can run on a supercomputer to reprocess all GPIES data in a single day as improvements are made to our DRPs. A backend MySQL database indexes all files, which are synced to the cloud, and a front-end web server allows for easy browsing of all files associated with GPIES. To help observers, quicklook displays show reduced data as they are processed in real time, and chatbots on Slack post observing information as well as reduced data products. Together, the GPIES automated data processing architecture reduces our workload, provides real-time data reduction, optimizes our observing strategy, and maintains a homogeneously reduced dataset to study planet occurrence and instrument performance. (c) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)en_US
dc.description.sponsorshipNASA's NExSS program [NNX15AD95G]; Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]; National Science Foundation [ACI-1548562]; NASA through Hubble Fellowship - Space Telescope Science Institute [51378.01-A]; NASA [NAS5-26555]; U.S. Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]en_US
dc.language.isoenen_US
dc.publisherSPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERSen_US
dc.relation.urlhttps://www.spiedigitallibrary.org/journals/Journal-of-Astronomical-Telescopes-Instruments-and-Systems/volume-4/issue-01/018002/Automated-data-processing-architecture-for-the-Gemini-Planet-Imager-Exoplanet/10.1117/1.JATIS.4.1.018002.fullen_US
dc.rights© 2018 SPIEen_US
dc.subjecthigh contrast imagingen_US
dc.subjectexoplanetsen_US
dc.subjectcircumstellar disksen_US
dc.subjectdata processingen_US
dc.subjectGemini planet imageren_US
dc.subjectData Cruncheren_US
dc.titleAutomated data processing architecture for the Gemini Planet Imager Exoplanet Surveyen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Lunar & Planetary Lab, Tucson, AZ 85721 USAen_US
dc.identifier.journalJOURNAL OF ASTRONOMICAL TELESCOPES INSTRUMENTS AND SYSTEMSen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.journaltitleJournal of Astronomical Telescopes, Instruments, and Systems
dc.source.volume4
dc.source.issue01
dc.source.beginpage1
refterms.dateFOA2018-05-15T23:32:25Z


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