Astronomy and Astrophysics – Astrophysics
Scientific paper
2005-01-28
Rev.Mex.Astron.Astrophys.41:121,2005
Astronomy and Astrophysics
Astrophysics
9 pages, accepted for publication in Rev. Mex. A&A
Scientific paper
Terminal wind velocity and mass loss rate are the most fundamental parameters of stellar winds. Unfortunately, their determination calls for high resolution spectroscopy in a range of wavelengths spanning from the ultraviolet to the infrared. For weak and/or distant objects, this becomes unfeasible. Nevertheless, it is possible to obtain an accurate estimate of these parameters through a simplified study of the formation processes of resonant lines which show P Cyg profiles. In this case, the line profile is a complex function of 6 parameters, with the radiative transport treatment becoming relatively inexpensive. However, preforming a 6 dimensional parameter fit raises a number of problems if one seeks an objective and automatic procedure to yield the optimal values, from which wind velocities and mass loss rates can be estimated. Useing a Likelihood function to construct a well defined statistical estimator of the goodness of fit which corresponds to a given model, we turn to a genetic algorithm through which we find the global maximum of the 6 dimensional Likelihood hyper-surface. We here present the implementation of the method, its successful testing with synthetic line profiles, where the answer is known in advance, together with first results of its application to real data
Georgiev Lachezar
Hernandez Xabier
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