EVEREST: PIXEL LEVEL DECORRELATION OF K2 LIGHT CURVES

By R. Luger, E. Agol, Ethan Kruse, R. Barnes, A. Becker, Daniel Foreman-Mackey, D. Deming. 2016

213 citations recorded by the source corpus.

We present EPIC Variability Extraction and Removal for Exoplanet Science Targets (EVEREST), an open-source pipeline for removing instrumental noise from K2 light curves. EVEREST employs a variant of pixel level decorrelation to remove systematics introduced by the spacecraft’s pointing error and a Gaussian process to capture astrophysical variability. We apply EVEREST to all K2 targets in campaigns 0–7, yielding light curves with precision comparable to that of the original Kepler mission for stars brighter than , and within a factor of two of the Kepler precision for fainter targets. We perform cross-validation and transit injection and recovery tests to validate the pipeline, and compare our light curves to the other de-trended light curves available for download at the MAST High Level Science Products archive. We find that EVEREST achieves the highest average precision of any of these pipelines for unsaturated K2 stars. The improved precision of these light curves will aid in exoplanet detection and characterization, investigations of stellar variability, asteroseismology, and other photometric studies. The EVEREST pipeline can also easily be applied to future surveys, such as the TESS mission, to correct for instrumental systematics and enable the detection of low signal-to-noise transiting exoplanets. The EVEREST light curves and the source code used to generate them are freely available online.

Subfields: Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/9587d8c77bc17081fab2e013379a88720e2687b2

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In Astronomy and Astrophysics

1. Nuno C. Santos
2. M. Mayor
3. J. Winn
4. J. Southworth
5. F. Bouchy
6. C. Lovis
7. F. Pepe
8. D. Deming

Citations in the corpus

• Optimized transit detection algorithm to search for periodic transits of small planets (2019, methodology): “As before, we use the K2 EVEREST data spanning 79 days in campaign 12.”
• The Apparently Decaying Orbit of WASP-12b (2017, methodology): “PLD has also been used to produce high-quality photometry from K2 data (Luger et al. 2016).”
• Characterization of the K2-18 multi-planetary system with HARPS: A habitable zone super-Earth and discovery of a second, warm super-Earth on a non-coplanar orbit (2017, methodology): “We selected the EVEREST reduction of the K2 light curve which performs this de-trending correction (Luger et al. 2016).”