Precise time-series photometry for the Kepler-2.0 mission
Suzanne Aigrain, Simon T. Hodgkin, Michael J. Irwin, Jim R. Lewis and, Stephen J. Roberts

TL;DR
This paper introduces a new method for extracting high-precision light curves from K2 mission data, effectively correcting for systematics caused by reduced pointing accuracy, enabling improved exoplanet and stellar variability studies.
Contribution
The authors develop a novel combination of aperture photometry and Gaussian process modeling to accurately correct K2 data for systematic errors, achieving near-Kepler precision levels.
Findings
Achieved photometric precision close to Kepler for stars fainter than 12th magnitude.
Successfully detected known transits, eclipsing binaries, and variable stars in K2 data.
Demonstrated the method's effectiveness on a week of engineering test data.
Abstract
The recently approved NASA K2 mission has the potential to multiply by an order of magnitude the number of short-period transiting planets found by Kepler around bright and low-mass stars, and to revolutionise our understanding of stellar variability in open clusters. However, the data processing is made more challenging by the reduced pointing accuracy of the satellite, which has only two functioning reaction wheels. We present a new method to extract precise light curves from K2 data, combining list-driven, soft-edged aperture photometry with a star-by-star correction of systematic effects associated with the drift in the roll-angle of the satellite about its boresight. The systematics are modelled simultaneously with the stars' intrinsic variability using a semi-parametric Gaussian process model. We test this method on a week of data collected during an engineering test in January…
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