Efficient identification of exoplanetary transit candidates from SuperWASP light curves
A. Collier Cameron, D. M. Wilson, R. G. West, L. Hebb, X.-B. Wang, S., Aigrain, F. Bouchy, D. J. Christian, W. I. Clarkson, B. Enoch, M. Esposito,, E. Guenther, C.A. Haswell, G. Hebrard, C. Hellier, K. Horne, J. Irwin, S. R., Kane, B. Loeillet, T. A. Lister, P. Maxted, M. Mayor

TL;DR
This paper presents an efficient method for selecting exoplanet transit candidates from SuperWASP light curves, using Bayesian analysis and light curve features to improve follow-up success rates.
Contribution
The authors develop a Bayesian-based analysis strategy that improves candidate selection efficiency for exoplanet transits from wide-field survey data.
Findings
Only 13 of 67 targets qualify for follow-up, including known planets.
The method predicts a planet discovery rate of over 20%.
Binary systems with interesting secondaries are also identified.
Abstract
Transiting extrasolar planets constitute only a small fraction of the range of stellar systems found to display periodic, shallow dimmings in wide-field surveys employing small-aperture camera arrays. Here we present an efficient selection strategy for follow-up observations, derived from analysis of the light curves of a sample of 67 SuperWASP targets that passed the selection tests we used in earlier papers, but which have subsequently been identified either as planet hosts or as astrophysical false positives. We determine the system parameters using Markov-chain Monte Carlo analysis of the SuperWASP light curves. We use a constrained optimisation of chi-squared combined with a Bayesian prior based on the main-sequence mass and radius expected from the 2MASS J-H colour. The Bayesian nature of the analysis allows us to quantify both the departure of the host star from the main-sequence…
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