Multiscale Systematic Error Correction via Wavelet-Based Bandsplitting inKeplerData

The previous presearch data conditioning algorithm, PDC-MAP, for theKeplerdata processing pipeline performs very well for the majority of targets in theKeplerfield of view. However, for an appreciable minority, PDC-MAP has its limitations. To further minimize the number of targets for which PDC-MAP...

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Bibliographic Details
Published in:Publications of the Astronomical Society of the Pacific 2014-01, Vol.126 (935), p.100-114
Main Authors: Stumpe, Martin C., Smith, Jeffrey C., Catanzarite, Joseph H., Van Cleve, Jeffrey E., Jenkins, Jon M., Twicken, Joseph D., Girouard, Forrest R.
Format: Article
Language:eng ; jpn
Subjects:
Cadences
Correctional system
Edge effects
Light curves
Mathematical vectors
Pipelines
Signal noise
Systematic errors
Time series
Wavelet analysis
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Summary:The previous presearch data conditioning algorithm, PDC-MAP, for theKeplerdata processing pipeline performs very well for the majority of targets in theKeplerfield of view. However, for an appreciable minority, PDC-MAP has its limitations. To further minimize the number of targets for which PDC-MAP fails to perform admirably, we have developed a new method, called multiscale MAP, or msMAP. Utilizing an overcomplete discrete wavelet transform, the new method divides each light curve into multiple channels, or bands. The light curves in each band are then corrected separately, thereby allowing for a better separation of characteristic signals and improved removal of the systematics.
ISSN:0004-6280
1538-3873
DOI:10.1086/674989