Serveur d'exploration Cyberinfrastructure

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The Kepler Science Operations Center pipeline framework extensions

Identifieur interne : 000A49 ( Main/Exploration ); précédent : 000A48; suivant : 000A50

The Kepler Science Operations Center pipeline framework extensions

Auteurs : Todd C. Klaus [États-Unis] ; Miles T. Cote [États-Unis] ; Sean Mccauliff [États-Unis] ; Forrest R. Girouard [États-Unis] ; Bill Wohler [États-Unis] ; Christopher Allen [États-Unis] ; Hema Chandrasekaran [États-Unis] ; Stephen T. Bryson [États-Unis] ; Christopher Middour [États-Unis] ; Douglas A. Caldwell [États-Unis] ; Jon M. Jenkins [États-Unis]

Source :

RBID : Pascal:11-0004486

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English descriptors

Abstract

The Kepler Science Operations Center (SOC) is responsible for several aspects of the Kepler Mission, including managing targets, generating onboard data compression tables, monitoring photometer health and status, processing science data, and exporting Kepler Science Processing Pipeline products to the Multi-mission Archive at Space Telescope [Science Institute] (MAST). We describe how the pipeline framework software developed for the Kepler Mission is used to achieve these goals, including development of pipeline configurations for processing science data and performing other support roles, and development of custom unit-of-work generators for controlling how Kepler data are partitioned and distributed across the computing cluster. We describe the interface between the Java software that manages data retrieval and storage for a given unit of work and the MATLAB algorithms that process the data. The data for each unit of work are packaged into a single file that contains everything needed by the science algorithms, allowing the files to be used to debug and evolve the algorithms offline.


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<div type="abstract" xml:lang="en">The Kepler Science Operations Center (SOC) is responsible for several aspects of the Kepler Mission, including managing targets, generating onboard data compression tables, monitoring photometer health and status, processing science data, and exporting Kepler Science Processing Pipeline products to the Multi-mission Archive at Space Telescope [Science Institute] (MAST). We describe how the pipeline framework software developed for the Kepler Mission is used to achieve these goals, including development of pipeline configurations for processing science data and performing other support roles, and development of custom unit-of-work generators for controlling how Kepler data are partitioned and distributed across the computing cluster. We describe the interface between the Java software that manages data retrieval and storage for a given unit of work and the MATLAB algorithms that process the data. The data for each unit of work are packaged into a single file that contains everything needed by the science algorithms, allowing the files to be used to debug and evolve the algorithms offline.</div>
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