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Verfasst von:Jofré Pfeil, Paula [VerfasserIn]   i
 Grebel, Eva K. [VerfasserIn]   i
Titel:Climbing the cosmic ladder with stellar twins in RAVE with Gaia
Verf.angabe:P. Jofré, G. Traven, K. Hawkins, G. Gilmore, J.L. Sanders, T. Mädler, M. Steinmetz, A. Kunder, G. Kordopatis, P. McMillan, O. Bienaymé, J. Bland-Hawthorn, B.K. Gibson, E.K. Grebel, U. Munari, J. Navarro, Q. Parker, W. Reid, G. Seabroke and T. Zwitter
Umfang:17 S.
Fussnoten:Gesehen am 17.10.2017
Titel Quelle:Enthalten in: Royal Astronomical Society: Monthly notices of the Royal Astronomical Society
Jahr Quelle:2017
Band/Heft Quelle:472(2017), 3, S. 2517-2533
ISSN Quelle:1365-2966
Abstract:We apply the twin method to determine parallaxes to 232 545 stars of the RAVE survey using the parallaxes of Gaia DR1 as a reference. To search for twins in this large data set, we apply the t-student stochastic neighbour embedding projection that distributes the data according to their spectral morphology on a two-dimensional map. From this map, we choose the twin candidates for which we calculate a χ2 to select the best sets of twins. Our results show a competitive performance when compared to other model-dependent methods relying on stellar parameters and isochrones. The power of the method is shown by finding that the accuracy of our results is not significantly affected if the stars are normal or peculiar since the method is model free. We find twins for 60 per cent of the RAVE sample that are not contained in Tycho-Gaia Astrometric Solution (TGAS) or that have TGAS uncertainties that are larger than 20 per cent. We could determine parallaxes with typical errors of 28 per cent. We provide a complementary data set for the RAVE stars not covered by TGAS, or that have TGAS uncertainties which are larger than 20 per cent, with model-free parallaxes scaled to the Gaia measurements.
DOI:doi:10.1093/mnras/stx1877
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Kostenfrei: Verlag: http://dx.doi.org/10.1093/mnras/stx1877
 DOI: https://doi.org/10.1093/mnras/stx1877
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1564469514
Verknüpfungen:→ Zeitschrift

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