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.
Cite
@article{arxiv.1611.07733,
title = {The DOHA algorithm: a new recipe for cotrending large-scale transiting exoplanet survey light curves},
author = {D. Mislis and S. Pyrzas and K. A. Alsubai and Z. I. Tsvetanov and N. P. E. Vilchez},
journal= {arXiv preprint arXiv:1611.07733},
year = {2016}
}