Astronomy and Astrophysics – Astronomy
Scientific paper
May 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996mnras.280..153p&link_type=abstract
Monthly Notices of the Royal Astronomical Society, Volume 280, Issue 1, pp. 153-166.
Astronomy and Astrophysics
Astronomy
6
Techniques: Photometric, Binaries: Spectroscopic, Stars: Early-Type, Stars: Fundamental Parameters, Stars: Individual: Hd 159176, Stars: Mass-Loss
Scientific paper
HD 159176 is a hot, massive, non-eclipsing binary with a small-amplitude ellipsoidal variability. The existing velocity solution determines the ratio of the stellar masses. In the present article these radial velocities, coupled with one optical and two UV light curves derived from IUE images in bandpasses devoid of stellar wind lines, are solved simultaneously using the Wilson-Devinney light-curve synthesis code. Modelling of the CIV and NV wind-line profiles supports optically thick, extended and eclipsing winds with a mass-loss rate of 3.0x10^-6 M_ yr^-1 from each star. Light curves derived from bandpasses isolating the CIV and NV wind lines clearly show wind eclipses. As an exercise, the WD code is employed to calculate a tentative solution to these wind light curves. Naturally, the input parameter values to that code have been tailored to mimic wind behaviour as closely as possible. A new code modelling wind eclipses is under construction and aspires to the determination of accurate inclinations and thus the individual stellar masses for a number of hot, photospherically non-eclipsing binaries.
No associations
LandOfFree
HD 159176: photospheric and wind-dominated light-curve analyses coupled to wind modelling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with HD 159176: photospheric and wind-dominated light-curve analyses coupled to wind modelling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and HD 159176: photospheric and wind-dominated light-curve analyses coupled to wind modelling will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1418821