Multiscale Systematic Error Correction via Wavelet-Based Bandsplitting in Kepler Data

By Martin C. Stumpe, Jeffrey C. Smith, J. Catanzarite, J. Cleve, Jon M. Jenkins, Joseph D. Twicken, F. Girouard. 2014

408 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/c6390aef28badffcd4d36b713e389bedb37d111c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Andrew Vanderburg
2. Christopher J. Shallue
3. Jon M. Jenkins
4. S. Fleming
5. D. Latham
6. G. Torres

In Signal Processing

1. Laurent Gizon
2. Andrew Vanderburg
3. Christopher J. Shallue
4. T. Reinhold
5. Jon M. Jenkins
6. Suzanne Aigrain

Citations in the corpus

• TESS Eclipsing Binary Stars. I. Short-cadence Observations of 4584 Eclipsing Binaries in Sectors 1–26 (2021, methodology): “…but have no additional detrending, while constructing the PDC light curves includes detrending for common-mode instrumental systematics using co-trending basis vectors empirically calculated from other sources on the corresponding detector (Smith et al. 2012; Stumpe et al. 2014).”
• Stellar Flares from the First TESS Data Release: Exploring a New Sample of M Dwarfs (2019, methodology): “The 2 minute cadence data were extracted using the Science Processing Operations Center (SPOC) pipeline, a descendant of the Kepler mission pipeline (Jenkins 2002; Jenkins et al. 2010, 2016; Jenkins 2017; Stumpe et al. 2014; Smith et al. 2012).”
• PLANETARY CANDIDATES OBSERVED BY KEPLER. VI. PLANET SAMPLE FROM Q1–Q16 (47 MONTHS) (2015, methodology): “Calibrated pixel fluxes were generated by the CAL module (Quintana et al. 2010), lightcurves were extracted by the PA module (Twicken et al. 2010), and systematic error removal was performed by the PDC module (Stumpe et al. 2012; Smith et al. 2012; Stumpe et al. 2014).”
• Identifying Exoplanets with Deep Learning: A Five-planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90 (2017, methodology): “…calibrates the pixels, identifies optimal photometric apertures, performs simple (stationary) aperture photometry, and removes common-mode instrumental artifacts using the Presearch Data Conditioning–Maximum A Posteriori (PDCMAP) method (Stumpe et al. 2012; Smith et al. 2012; Stumpe et al. 2014).”
• Rotation, differential rotation, and gyrochronology of active Kepler stars (2015, methodology): “Recently, all Kepler data has been reprocessed by the PDC-msMAP (multiscale MAP) pipeline (Stumpe et al. 2014).”