High-precision photometry for K2 Campaign 1

C. X. Huang, K. Penev, J. D. Hartman, G. Bakos, W. Bhatti, I. Domsa, M. De Val-Borro

Research output: Contribution to journalArticlepeer-review

29 Scopus citations


The two reaction wheel K2 mission promises and has delivered new discoveries in the stellar and exoplanet fields. However, due to the loss of accurate pointing, it also brings newchallenges for the data reduction processes. In this paper, we describe a new reduction pipeline for extracting high-precision photometry from the K2 data set, and present public light curves for the K2 Campaign 1 target pixel data set. Key to our reduction is the derivation of global astrometric solutions from the target stamps, from which accurate centroids are passed on for high-precision photometry extraction. We extract target light curves for sources from a combined UCAC4 and EPIC catalogue - this includes not only primary targets of the K2 campaign 1, but also any other stars that happen to fall on the pixel stamps. We provide the raw light curves, and the products of various detrending processes aimed at removing different types of systematics. Our astrometric solutions achieve a median residual of ~0.127 arcsec. For bright stars, our best 6.5 h precision for raw light curves is ~20 parts per million (ppm). For our detrended light curves, the best 6.5 h precision achieved is ~15 ppm.We show that our detrended light curves have fewer systematic effects (or trends, or red-noise) than light curves produced by other groups from the same observations. Example light curves of transiting planets and a Cepheid variable candidate, are also presented. We make all light curves public, including the raw and detrended photometry, at http://k2.hatsurveys.org.

Original languageEnglish (US)
Pages (from-to)4159-4171
Number of pages13
JournalMonthly Notices of the Royal Astronomical Society
Issue number4
StatePublished - Dec 21 2015

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science


  • Astrometry
  • Methods: data analysis
  • Surveys
  • Techniques: photometric


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