Volume 413, Number 3, January III 2004
|Page(s)||959 - 979|
|Section||Interstellar and circumstellar matter|
|Published online||07 January 2004|
Inference of hot star density stream properties from data on rotationally recurrent DACs*
Department of Physics and Astronomy, University of Glasgow, Glasgow, G12 8QQ, Scotland, UK
2 Astronomical Institute “Anton Pannekoek”, University of Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands
3 Professur Astrophysik, Universitat Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany
4 Bartol Research Institute, University of Delaware, Newark, DE 19716, USA
5 Leiden Observatory, University of Leiden, Niels Bohrweg 2, 2333 CA Leiden, The Netherlands
Corresponding author: J. C. Brown, email@example.com
Accepted: 15 September 2003
The information content of data on rotationally periodic recurrent discrete absorption components (DACs) in hot star wind emission lines is discussed. The data comprise optical depths as a function of dimensionless Doppler velocity and of time expressed in terms of stellar rotation angle ϕ. This is used to study the spatial distributions of density, radial and rotational velocities, and ionisation structures of the corotating wind streams to which recurrent DACs are conventionally attributed. The simplifying assumptions made to reduce the degrees of freedom in such structure distribution functions to match those in the DAC data are discussed and the problem then posed in terms of a bivariate relationship between and the radial velocity , transverse rotation rate and density structures of the streams. The discussion applies to cases where: the streams are equatorial; the system is seen edge on; the ionisation structure is approximated as uniform; the radial and transverse velocities are taken to be functions only of radial distance but the stream density is allowed to vary with azimuth. The last kinematic assumption essentially ignores the dynamical feedback of density on velocity and the relationship of this to fully dynamical models is discussed. The case of narrow streams is first considered, noting the result of Hamann et al. ([CITE]) that the apparent acceleration of a narrow stream DAC is higher than the acceleration of the matter itself, so that the apparent slow acceleration of DACs cannot be attributed to the slowness of stellar rotation. Thus DACs either involve matter which accelerates slower than the general wind flow, or they are formed by structures which are not advected with the matter flow but propagate upstream (such as Abbott waves). It is then shown how, in the kinematic model approximation, the radial speed of the absorbing matter can be found by inversion of the apparent acceleration of the narrow DAC, for a given rotation law. The case of broad streams is more complex but also more informative. The observed is governed not only by and of the absorbing stream matter but also by the density profile across the stream, determined by the azimuthal () distribution function of mass loss rate around the stellar equator. When is fairly wide in , the acceleration of the DAC peak in w is generally slow compared with that of a narrow stream DAC and the information on , and is convoluted in the data . We show that it is possible, in this kinematic model, to recover by inversion, complete information on all three distribution functions , and from data on of sufficiently high precision and resolution since and occur in combination rather than independently in the equations. This is demonstrated for simulated data, including noise effects, and is discussed in relation to real data and to fully hydrodynamic models.
Key words: stars: early-type / stars: winds, outflows / stars: mass-loss / line: profiles
© ESO, 2004
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.