arXiv · 1611.07733
The DOHA algorithm: a new recipe for cotrending large-scale transiting exoplanet survey light curves
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.
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D. Mislis, S. Pyrzas, K. A. Alsubai, Z. I. Tsvetanov, N. P. E. Vilchez. 2016-11-23. The DOHA algorithm: a new recipe for cotrending large-scale transiting exoplanet survey light curves. https://doi.org/10.1093/mnras%2Fstw2999
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