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dc.contributor.authorZendejas Dominguez, J.
dc.contributor.authorKoppenhoefer, J.
dc.contributor.authorSaglia, R.P.
dc.contributor.authorBirkby, J. L.
dc.contributor.authorHodgkin, S.T.
dc.contributor.authorKovács, G.
dc.contributor.authorPinfield, D.J.
dc.contributor.authorSipocz, B.
dc.contributor.authorBarrado, D.
dc.contributor.authorBender, R.
dc.contributor.authorDel Burgo, C.
dc.contributor.authorCappetta, M.
dc.contributor.authorMartín, E. L.
dc.contributor.authorNefs, S. V.
dc.contributor.authorRiffeser, A.
dc.contributor.authorSteele, P.
dc.date.accessioned2014-09-30T11:45:57Z
dc.date.available2014-09-30T11:45:57Z
dc.date.issued2013-12
dc.identifier.citationZendejas Dominguez , J , Koppenhoefer , J , Saglia , R P , Birkby , J L , Hodgkin , S T , Kovács , G , Pinfield , D J , Sipocz , B , Barrado , D , Bender , R , Del Burgo , C , Cappetta , M , Martín , E L , Nefs , S V , Riffeser , A & Steele , P 2013 , ' Searching for transits in the Wide Field Camera Transit Survey with difference-imaging light curves ' , Astronomy and Astrophysics , vol. 560 , A92 . https://doi.org/10.1051/0004-6361/201321317
dc.identifier.issn0004-6361
dc.identifier.otherPURE: 7613655
dc.identifier.otherPURE UUID: 05d97a08-b31e-46f1-acb8-7ac3f8d1e9ff
dc.identifier.otherScopus: 84890492292
dc.identifier.urihttp://hdl.handle.net/2299/14504
dc.description.abstractThe Wide Field Camera Transit Survey is a pioneer program aiming at for searching extra-solar planets in the near-infrared. The images from the survey are processed by a data reduction pipeline, which uses aperture photometry to construct the light curves. We produce an alternative set of light curves using the difference-imaging method for the most complete field in the survey and carry out a quantitative comparison between the photometric precision achieved with both methods. The results show that differencephotometry light curves present an important improvement for stars with J > 16. We report an implementation on the box-fitting transit detection algorithm, which performs a trapezoid-fit to the folded light curve, providing more accurate results than the boxfitting model. We describe and optimize a set of selection criteria to search for transit candidates, including the V-shape parameter calculated by our detection algorithm. The optimized selection criteria are applied to the aperture photometry and difference-imaging light curves, resulting in the automatic detection of the best 200 transit candidates from a sample of ~475 000 sources. We carry out a detailed analysis in the 18 best detections and classify them as transiting planet and eclipsing binary candidates. We present one planet candidate orbiting a late G-type star. No planet candidate around M-stars has been found, confirming the null detection hypothesis and upper limits on the occurrence rate of short-period giant planets around M-dwarfs presented in a prior study. We extend the search for transiting planets to stars with J ≤ 18, which enables us to set a stricter upper limit of 1.1%. Furthermore, we present the detection of five faint extremely-short period eclipsing binaries and three M-dwarf/M-dwarf binary candidates. The detections demonstrate the benefits of using the difference-imaging light curves, especially when going to fainter magnitudes.en
dc.format.extent19
dc.language.isoeng
dc.relation.ispartofAstronomy and Astrophysics
dc.subjectMethods: data analysis
dc.subjectPlanets and satellites: detection
dc.subjectTechniques: photometric
dc.subjectAstronomy and Astrophysics
dc.subjectSpace and Planetary Science
dc.titleSearching for transits in the Wide Field Camera Transit Survey with difference-imaging light curvesen
dc.contributor.institutionSchool of Physics, Astronomy and Mathematics
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Astrophysics Research
dc.description.statusPeer reviewed
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1051/0004-6361/201321317
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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