The Kepler Science Operations Center Pipeline: An Overview of Science Processing and Data Products

Computer Science – Performance

Scientific paper

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Scientific paper

The Kepler Mission is designed to discover and characterize the frequency of Earth-size planets in the habitable zone of solar-like stars by observing 100,000 main-sequence stars in a 100 square degree field of view (FOV) for at least 3.5 years. The Kepler photometer will collect and transmit pixels of interest for target stars and associated collateral data which are received and processed by the Kepler Science Operations Center (SOC) located at NASA Ames Research Center. The data are reduced to produce flux time series for each target star, which are archived at the Data Management Center (DMC) located at STScI. Systematic errors are removed from each time series, which and are then subjected to searches for signatures of transiting planets and reflected light from close-in giant planets. A series of validation tests are automatically performed on the resulting threshold-crossing events to assist the science team in prioritizing the candidates for follow up observations.
Performing this level of processing on >100,000 stars over a 3.5 year period is a significant challenge. The SOC Pipeline supports automated scheduling of the data reduction upon data arrival. We describe each data reduction step from initial pixel level calibrations to the extraction of photometric time series, to the detection of planetary signatures. We cover the architecture of the infrastructure supporting the science operations. The SOC Pipeline also supports the critical tasks of catalog and target management, as well as performing automated health and performance monitoring of the Kepler photometer in flight.
Funding for this mission provided by NASA's Discovery Program Office, SMD.

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