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dc.contributor.authorAndreasen, D. T.
dc.contributor.authorSousa, S. G.
dc.contributor.authorTsantaki, M.
dc.contributor.authorTeixeira, G. D. C.
dc.contributor.authorMortier, A.
dc.contributor.authorSantos, N. C.
dc.contributor.authorSuárez-Andrés, L.
dc.contributor.authorDelgado-Mena, E.
dc.contributor.authorFerreira, A. C. S.
dc.date.accessioned2017-03-23T16:30:14Z
dc.date.available2017-03-23T16:30:14Z
dc.date.issued2017-04-03
dc.identifier.citationAndreasen , D T , Sousa , S G , Tsantaki , M , Teixeira , G D C , Mortier , A , Santos , N C , Suárez-Andrés , L , Delgado-Mena , E & Ferreira , A C S 2017 , ' SWEET-Cat update and FASMA. A new minimization procedure for stellar parameters using high-quality spectra ' , Astronomy & Astrophysics , vol. 600 , A69 . https://doi.org/10.1051/0004-6361/201629967en
dc.identifier.issn0004-6361
dc.identifier.otherPURE: 249439383
dc.identifier.otherPURE UUID: 03de3759-fc89-466a-b2d4-3a15d0c5a35c
dc.identifier.otherBibCode: 2017arXiv170306671A
dc.identifier.otherScopus: 85017258635
dc.identifier.otherWOS: 000400754000103
dc.identifier.urihttps://hdl.handle.net/10023/10519
dc.description.abstractContext : Thanks to the importance that the star-planet relation has to our understanding of the planet formation process, the precise determination of stellar parameters for the ever increasing number of discovered extrasolar planets is of great relevance. Furthermore, precise stellar parameters are needed to fully characterize the planet properties. It is thus important to continue the efforts to determine, in the most uniform way possible, the parameters for stars with planets as new discoveries are announced. Aims : In this paper we present new precise atmospheric parameters for a sample of 50 stars with planets. The results are presented in the catalogue: SWEET-Cat. Methods : Stellar atmospheric parameters and masses for the 50 stars were derived assuming local thermodynamic equilibrium (LTE) and using high-resolution and high signal-to-noise spectra. The methodology used is based on the measurement of equivalent widths with ARES2 for a list of iron lines. The line abundances were derived using MOOG. We then used the curve of growth analysis to determine the parameters. We implemented a new minimization procedure which significantly improves the computational time. Results : The stellar parameters for the 50 stars are presented and compared with previously determined literature values. For SWEET-Cat, we compile values for the effective temperature, surface gravity,metallicity, and stellar mass for almost all the planet host stars listed in the Extrasolar Planets Encyclopedia. This data will be updated on a continuous basis. The data can be used for statistical studies of the star-planet correlation, and for the derivation of consistent properties for known planets.
dc.format.extent12
dc.language.isoeng
dc.relation.ispartofAstronomy & Astrophysicsen
dc.rights© 2017, ESO. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at www.aanda.org / https://doi.org/10.1051/0004-6361/201629967en
dc.subjectTechniques: spectroscopicen
dc.subjectStars: atmospheresen
dc.subjectPlanets and satellites: fundamental parametersen
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subjectDASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleSWEET-Cat update and FASMA. A new minimization procedure for stellar parameters using high-quality spectraen
dc.typeJournal articleen
dc.contributor.sponsorEuropean Commissionen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews. St Andrews Centre for Exoplanet Scienceen
dc.identifier.doihttps://doi.org/10.1051/0004-6361/201629967
dc.description.statusPeer revieweden
dc.identifier.urlhttp://adsabs.harvard.edu/abs/2017arXiv170306671Aen
dc.identifier.grantnumberen


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