Kepler Science Operations Center architecture

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

doi:10.1117/12.856529

19 July 2010 Kepler Science Operations Center architecture

Christopher Middour, Todd C. Klaus, Jon Jenkins, David Pletcher, Miles Cote, Hema Chandrasekaran, Bill Wohler, Forrest Girouard, Jay P. Gunter, Kamal Uddin, Christopher Allen, Jennifer Hall, Khadeejah Ibrahim, Bruce Clarke, Jie Li, Sean McCauliff, Elisa Quintana, Jeneen Sommers, Brett Stroozas, Peter Tenenbaum, Joseph Twicken, Hayley Wu, Doug Caldwell, Stephen Bryson, Paresh Bhavsar, Michael Wu, Brian Stamper, Terry Trombly, Christopher Page, Elaine Santiago

Author Affiliations +

Proceedings Volume 7740, Software and Cyberinfrastructure for Astronomy; 77401A (2010) https://doi.org/10.1117/12.856529
Event: SPIE Astronomical Telescopes + Instrumentation, 2010, San Diego, California, United States

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.

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Christopher Middour, Todd C. Klaus, Jon Jenkins, David Pletcher, Miles Cote, Hema Chandrasekaran, Bill Wohler, Forrest Girouard, Jay P. Gunter, Kamal Uddin, Christopher Allen, Jennifer Hall, Khadeejah Ibrahim, Bruce Clarke, Jie Li, Sean McCauliff, Elisa Quintana, Jeneen Sommers, Brett Stroozas, Peter Tenenbaum, Joseph Twicken, Hayley Wu, Doug Caldwell, Stephen Bryson, Paresh Bhavsar, Michael Wu, Brian Stamper, Terry Trombly, Christopher Page, and Elaine Santiago "Kepler Science Operations Center architecture", Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 77401A (19 July 2010); https://doi.org/10.1117/12.856529

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