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Kepler Science Operations Center Architecture

Identifieur interne : 000A96 ( Main/Exploration ); précédent : 000A95; suivant : 000A97

Kepler Science Operations Center Architecture

Auteurs : Christopher Middour [États-Unis] ; Todd C. Klaus [États-Unis] ; Jon Jenkins [États-Unis] ; David Pletcher [États-Unis] ; Miles Cote [États-Unis] ; Hema Chandrasekaran [États-Unis] ; Bill Wohler [États-Unis] ; Forrest Girouard [États-Unis] ; Jay P. Gunter [États-Unis] ; Kamal Uddin [États-Unis] ; Christopher Allen [États-Unis] ; Jennifer Hall [États-Unis] ; Khadeejah Ibrahim [États-Unis] ; Bruce Clarke [États-Unis] ; JIE LI [États-Unis] ; Sean Mccauliff [États-Unis] ; Elisa Quintana [États-Unis] ; Jeneen Sommers [États-Unis] ; Brett Stroozas [États-Unis] ; Peter Tenenbaum [États-Unis] ; Joseph Twicken [États-Unis] ; Hayley Wu [États-Unis] ; Doug Caldwell [États-Unis] ; Stephen Bryson [États-Unis] ; Paresh Bhavsar [États-Unis] ; Michael Wu [États-Unis] ; Brian Stamper [États-Unis] ; Terry Trombly [États-Unis] ; Christopher Page [États-Unis] ; Elaine Santiago [États-Unis]

Source :

RBID : Pascal:11-0004503

Descripteurs français

English descriptors

Abstract

We give an overview of the operational concepts and architecture of the Kepler Science Processing Pipeline. Designed, developed, operated, and maintained by the Kepler Science Operations Center (SOC) at NASA Ames Research Center, the Science Processing Pipeline is a central element of the Kepler Ground Data System. The SOC consists of an office at Ames Research Center, software development and operations departments, and a data center which hosts the computers required to perform data analysis. The SOC's charter is to analyze stellar photometric data from the Kepler spacecraft and report results to the Kepler Science Office for further analysis. We describe how this is accomplished via the Kepler Science Processing Pipeline, including the hardware infrastructure, scientific algorithms, and operational procedures. We present the high-performance, parallel computing software modules of the pipeline that perform transit photometry, pixel-level calibration, systematic error correction, attitude determination, stellar target management, and instrument characterization. We show how data processing environments are divided to support operational processing and test needs. We explain the operational timelines for data processing and the data constructs that flow into the Kepler Science Processing Pipeline.


Affiliations:


Links toward previous steps (curation, corpus...)


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<name sortKey="Santiago, Elaine" sort="Santiago, Elaine" uniqKey="Santiago E" first="Elaine" last="Santiago">Elaine Santiago</name>
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<series>
<title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title>
<title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title>
<idno type="ISSN">0277-786X</idno>
<imprint>
<date when="2010">2010</date>
</imprint>
</series>
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<seriesStmt>
<title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title>
<title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title>
<idno type="ISSN">0277-786X</idno>
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<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Attitude</term>
<term>Bias</term>
<term>Calibration</term>
<term>Computer center</term>
<term>Data analysis</term>
<term>Data center</term>
<term>Data flow</term>
<term>Data flow processing</term>
<term>Data processing</term>
<term>Distributed computing</term>
<term>Documentary server</term>
<term>Error correction</term>
<term>High performance</term>
<term>Host computer</term>
<term>Parallel algorithm</term>
<term>Photometry</term>
<term>Pipeline processing</term>
<term>Pipeline processor</term>
<term>Software development</term>
<term>Space application</term>
<term>Spacecraft</term>
<term>System on a chip</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Traitement pipeline</term>
<term>Développement logiciel</term>
<term>Centre donnée</term>
<term>Analyse donnée</term>
<term>Calcul réparti</term>
<term>Haute performance</term>
<term>Processeur pipeline</term>
<term>Traitement donnée</term>
<term>Traitement flux donnée</term>
<term>Système sur puce</term>
<term>Centre calcul</term>
<term>Ordinateur hôte</term>
<term>Serveur documentaire</term>
<term>Photométrie</term>
<term>Application spatiale</term>
<term>Spationef</term>
<term>Algorithme parallèle</term>
<term>Etalonnage</term>
<term>Erreur systématique</term>
<term>Correction erreur</term>
<term>Flux donnée</term>
<term>Attitude</term>
</keywords>
</textClass>
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<front>
<div type="abstract" xml:lang="en">We give an overview of the operational concepts and architecture of the Kepler Science Processing Pipeline. Designed, developed, operated, and maintained by the Kepler Science Operations Center (SOC) at NASA Ames Research Center, the Science Processing Pipeline is a central element of the Kepler Ground Data System. The SOC consists of an office at Ames Research Center, software development and operations departments, and a data center which hosts the computers required to perform data analysis. The SOC's charter is to analyze stellar photometric data from the Kepler spacecraft and report results to the Kepler Science Office for further analysis. We describe how this is accomplished via the Kepler Science Processing Pipeline, including the hardware infrastructure, scientific algorithms, and operational procedures. We present the high-performance, parallel computing software modules of the pipeline that perform transit photometry, pixel-level calibration, systematic error correction, attitude determination, stellar target management, and instrument characterization. We show how data processing environments are divided to support operational processing and test needs. We explain the operational timelines for data processing and the data constructs that flow into the Kepler Science Processing Pipeline.</div>
</front>
</TEI>
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<list>
<country>
<li>États-Unis</li>
</country>
<region>
<li>Californie</li>
</region>
</list>
<tree>
<country name="États-Unis">
<region name="Californie">
<name sortKey="Middour, Christopher" sort="Middour, Christopher" uniqKey="Middour C" first="Christopher" last="Middour">Christopher Middour</name>
</region>
<name sortKey="Allen, Christopher" sort="Allen, Christopher" uniqKey="Allen C" first="Christopher" last="Allen">Christopher Allen</name>
<name sortKey="Bhavsar, Paresh" sort="Bhavsar, Paresh" uniqKey="Bhavsar P" first="Paresh" last="Bhavsar">Paresh Bhavsar</name>
<name sortKey="Bryson, Stephen" sort="Bryson, Stephen" uniqKey="Bryson S" first="Stephen" last="Bryson">Stephen Bryson</name>
<name sortKey="Caldwell, Doug" sort="Caldwell, Doug" uniqKey="Caldwell D" first="Doug" last="Caldwell">Doug Caldwell</name>
<name sortKey="Chandrasekaran, Hema" sort="Chandrasekaran, Hema" uniqKey="Chandrasekaran H" first="Hema" last="Chandrasekaran">Hema Chandrasekaran</name>
<name sortKey="Clarke, Bruce" sort="Clarke, Bruce" uniqKey="Clarke B" first="Bruce" last="Clarke">Bruce Clarke</name>
<name sortKey="Cote, Miles" sort="Cote, Miles" uniqKey="Cote M" first="Miles" last="Cote">Miles Cote</name>
<name sortKey="Girouard, Forrest" sort="Girouard, Forrest" uniqKey="Girouard F" first="Forrest" last="Girouard">Forrest Girouard</name>
<name sortKey="Gunter, Jay P" sort="Gunter, Jay P" uniqKey="Gunter J" first="Jay P." last="Gunter">Jay P. Gunter</name>
<name sortKey="Hall, Jennifer" sort="Hall, Jennifer" uniqKey="Hall J" first="Jennifer" last="Hall">Jennifer Hall</name>
<name sortKey="Ibrahim, Khadeejah" sort="Ibrahim, Khadeejah" uniqKey="Ibrahim K" first="Khadeejah" last="Ibrahim">Khadeejah Ibrahim</name>
<name sortKey="Jenkins, Jon" sort="Jenkins, Jon" uniqKey="Jenkins J" first="Jon" last="Jenkins">Jon Jenkins</name>
<name sortKey="Jie Li" sort="Jie Li" uniqKey="Jie Li" last="Jie Li">JIE LI</name>
<name sortKey="Klaus, Todd C" sort="Klaus, Todd C" uniqKey="Klaus T" first="Todd C." last="Klaus">Todd C. Klaus</name>
<name sortKey="Mccauliff, Sean" sort="Mccauliff, Sean" uniqKey="Mccauliff S" first="Sean" last="Mccauliff">Sean Mccauliff</name>
<name sortKey="Page, Christopher" sort="Page, Christopher" uniqKey="Page C" first="Christopher" last="Page">Christopher Page</name>
<name sortKey="Pletcher, David" sort="Pletcher, David" uniqKey="Pletcher D" first="David" last="Pletcher">David Pletcher</name>
<name sortKey="Quintana, Elisa" sort="Quintana, Elisa" uniqKey="Quintana E" first="Elisa" last="Quintana">Elisa Quintana</name>
<name sortKey="Santiago, Elaine" sort="Santiago, Elaine" uniqKey="Santiago E" first="Elaine" last="Santiago">Elaine Santiago</name>
<name sortKey="Sommers, Jeneen" sort="Sommers, Jeneen" uniqKey="Sommers J" first="Jeneen" last="Sommers">Jeneen Sommers</name>
<name sortKey="Stamper, Brian" sort="Stamper, Brian" uniqKey="Stamper B" first="Brian" last="Stamper">Brian Stamper</name>
<name sortKey="Stroozas, Brett" sort="Stroozas, Brett" uniqKey="Stroozas B" first="Brett" last="Stroozas">Brett Stroozas</name>
<name sortKey="Tenenbaum, Peter" sort="Tenenbaum, Peter" uniqKey="Tenenbaum P" first="Peter" last="Tenenbaum">Peter Tenenbaum</name>
<name sortKey="Trombly, Terry" sort="Trombly, Terry" uniqKey="Trombly T" first="Terry" last="Trombly">Terry Trombly</name>
<name sortKey="Twicken, Joseph" sort="Twicken, Joseph" uniqKey="Twicken J" first="Joseph" last="Twicken">Joseph Twicken</name>
<name sortKey="Uddin, Kamal" sort="Uddin, Kamal" uniqKey="Uddin K" first="Kamal" last="Uddin">Kamal Uddin</name>
<name sortKey="Wohler, Bill" sort="Wohler, Bill" uniqKey="Wohler B" first="Bill" last="Wohler">Bill Wohler</name>
<name sortKey="Wu, Hayley" sort="Wu, Hayley" uniqKey="Wu H" first="Hayley" last="Wu">Hayley Wu</name>
<name sortKey="Wu, Michael" sort="Wu, Michael" uniqKey="Wu M" first="Michael" last="Wu">Michael Wu</name>
</country>
</tree>
</affiliations>
</record>

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