The DOHA algorithm: a new recipe for cotrending large-scale transiting exoplanet survey light curves
arXiv:1611.07733 · doi:10.1093/mnras/stw2999
Abstract
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.
References in corpus (4)
- TrES-1: The Transiting Planet of a Bright K0V Star
- WASP-1b and WASP-2b: Two new transiting exoplanets detected with SuperWASP and SOPHIE
- HATS-6b: A Warm Saturn Transiting an Early M Dwarf Star, and a Set of Empirical Relations for Characterizing K and M Dwarf Planet Hosts
- Properties of analytic transit light curve models