Open AccessPhotometer performance assessment in Kepler science data processing
Author(s) -
Jie Li,
Christopher S. Allen,
Steve Bryson,
Douglas A. Caldwell,
Hema Chandrasekaran,
Bruce Clarke,
Jay P. Gunter,
Jon M. Jenkins,
Todd C. Klaus,
Elisa V. Quintana,
Peter Tenenbaum,
Joseph D. Twicken,
Bill Wohler,
Hayley Wu
Publication year - 2010
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.856788
Subject(s) - kepler , cadence , photometer , spacecraft , pipeline (software) , computer science , component (thermodynamics) , software , engineering , physics , astronomy , aerospace engineering , computer vision , electronic engineering , stars , operating system , thermodynamics
This paper describes the algorithms of the Photometer Performance Assessment (PPA) software component in the Kepler Science Operations Center (SOC) Science Processing Pipeline. The PPA performs two tasks: One is to analyze the health and performance of the Kepler photometer based on the long cadence science data down-linked via Ka band approximately every 30 days. The second is to determine the attitude of the Kepler spacecraft with high precision at each long cadence. The PPA component has demonstrated the capability to work effectively with the Kepler flight data.
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