Paper
19 July 2010 Kepler Mission's focal plane characterization models implementation
Christopher Allen, Todd Klaus, Jon Jenkins
Author Affiliations +
Abstract
The Kepler Mission photometer is an unusually complex array of CCDs. A large number of time-varying instrumental and systematic effects must be modeled and removed from the Kepler pixel data to produce light curves of sufficiently high quality for the mission to be successful in its planet-finding objective. After the launch of the spacecraft, many of these effects are difficult to remeasure frequently, and various interpolations over a small number of sample measurements must be used to determine the correct value of a given effect at different points in time. A library of software modules, called Focal Plane Characterization (FC) Models, is the element of the Kepler Science Data Pipeline (hereafter "pipeline") that handles this. FC, or products generated by FC, are used by nearly every element of the SOC processing chain. FC includes Java components: database persistence classes, operations classes, model classes, and data importers; and MATLAB code: model classes, interpolation methods, and wrapper functions. These classes, their interactions, and the database tables they represent, are discussed. This paper describes how these data and the FC software work together to provide the pipeline with the correct values to remove non-photometric effects caused by the photometer and its electronics from the Kepler light curves. The interpolation mathematics is reviewed, as well as the special case of the sky-to-pixel/pixel-to-sky coordinate transformation code, which incorporates a compound model that is unique in the SOC software.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher Allen, Todd Klaus, and Jon Jenkins "Kepler Mission's focal plane characterization models implementation", Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 77401E (19 July 2010); https://doi.org/10.1117/12.856325
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Cited by 9 scholarly publications.
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KEYWORDS
Data modeling

Databases

Java

MATLAB

Photometry

System on a chip

Associative arrays

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