Wōtan: Comprehensive Time-series Detrending in Python

@article{Hippke2019WtanCT,
  title={Wōtan: Comprehensive Time-series Detrending in Python},
  author={M. Hippke and T. David and G. Mulders and R. Heller},
  journal={The Astronomical Journal},
  year={2019},
  volume={158},
  pages={143}
}
  • M. Hippke, T. David, +1 author R. Heller
  • Published 2019
  • Physics
  • The Astronomical Journal
  • The detection of transiting exoplanets in time-series photometry requires the removal or modeling of instrumental and stellar noise. While instrumental systematics can be reduced using methods such as pixel level decorrelation, removing stellar trends while preserving transit signals proves challenging. Due to vast archives of light curves from recent transit surveys, there is a strong need for accurate automatic detrending, without human intervention. A large variety of detrending algorithms… CONTINUE READING
    21 Citations
    EDEN: Sensitivity Analysis and Transiting Planet Detection Limits for Nearby Late Red Dwarfs
    A search for young exoplanets in Sectors 1–5 of the TESS full-frame images
    The compact triply eclipsing triple star TIC 209409435 discovered with TESS
    • 1
    • PDF

    References

    SHOWING 1-10 OF 153 REFERENCES
    Autoregressive Planet Search: Methodology
    • 7
    • PDF
    Detrending time series for astronomical variability surveys
    • 27
    • PDF
    Precise time series photometry for the Kepler-2.0 mission
    • 72
    • PDF
    EVEREST: Pixel Level Decorrelation of K2 Light curves
    • 131
    • PDF
    Kepler Presearch Data Conditioning II - A Bayesian Approach to Systematic Error Correction
    • 313
    • PDF
    Optimized transit detection algorithm to search for periodic transits of small planets
    • 29
    • PDF
    A Systematic Search for Transiting Planets in the K2 Data
    • 83
    • PDF
    PLANETARY CANDIDATES OBSERVED BY KEPLER. III. ANALYSIS OF THE FIRST 16 MONTHS OF DATA
    • 764
    • PDF