Bibcode
de Koter, A.; Sana, H.; Evans, C. J.; Bagnoli, T.; Bastian, N.; Bestenlehner, J. M.; Bonanos, A.; Bressert, E.; Brott, I.; Cantiello, M.; Carraro, G.; Clark, S.; Crowther, P.; de Mink, S. E.; Doran, E.; Dufton, P.; Dunstall, P.; Garcia, M.; Gräfener, G.; Hénault-Brunet, V.; Herrero, A.; Howarth, I.; Izzard, R.; Köhler, K.; Langer, N.; Lennon, D.; Maíz Apellániz, J.; Markova, N.; Najarro, P.; Puls, J.; Ramirez, O.; Sabín-Sanjulián, C.; Simón-Díaz, S.; Smartt, S.; Stroud, V.; van Loon, J. Th; Taylor, W.; Vink, J. S.
Bibliographical reference
Journal of Physics: Conference Series, Volume 328, Issue 1, pp. 012022 (2011).
Advertised on:
12
2011
Citations
4
Refereed citations
1
Description
The VLT-FLAMES Tarantula Survey (VFTS) has secured mid-resolution
spectra of over 300 O-type stars in the 30 Doradus region of the Large
Magellanic Cloud. A homogeneous analysis of such a large sample requires
automated techniques, an approach that will also be needed for the
upcoming analysis of the Gaia surveys of the Northern and Southern
Hemisphere supplementing the Gaia measurements. We point out the
importance of Gaia for the study of O stars, summarize the O star
science case of VFTS and present a test of the automated modeling
technique using synthetically generated data. This method employs a
genetic algorithm based optimization technique in combination with
fastwind model atmospheres. The method is found to be robust and able to
recover the main photospheric parameters accurately. Precise wind
parameters can be obtained as well, however, as expected, for dwarf
stars the rate of acceleration of the ow is poorly constrained.