The DOHA algorithm: A new recipe for cotrending large-scale transiting exoplanet survey light curves

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We present DOHA, a new algorithm for cotrending photometric light curves obtained by transiting exoplanet surveys. The algorithm employs a novel approach to the traditional 'differential photometry' technique, by selecting the most suitable comparison star for each target light curve, using a two-step correlation search. Extensive tests on real data reveal that DOHA corrects both intra-night variations and long-term systematics affecting the data. Statistical studies conducted on a sample of ~9500 light curves from the Qatar Exoplanet Survey reveal that DOHA-corrected light curves show an rms improvement of a factor of ~2, compared to the raw light curves. In addition, we show that the transit detection probability in our sample can increase considerably, even up to a factor of 7, after applying DOHA.

Original languageEnglish
Pages (from-to)3759-3766
Number of pages8
JournalMonthly Notices of the Royal Astronomical Society
Issue number3
Publication statusPublished - 2017



  • Methods: data analysis
  • Methods: statistical
  • Planets and satellites: detection
  • Techniques: photometric

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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