EDP Sciences
Free Access
Volume 400, Number 3, March IV 2003
Page(s) 981 - 992
Section Formation, structure and evolution of stars
DOI https://doi.org/10.1051/0004-6361:20030036

A&A 400, 981-992 (2003)
DOI: 10.1051/0004-6361:20030036

Dust formation in winds of long-period variables

V. The influence of micro-physical dust properties in carbon stars
A. C. Andersen1, 2, S. Höfner1 and R. Gautschy-Loidl3

1  Department of Astronomy & Space Physics, Uppsala University, PO Box 515, 751 20 Uppsala, Sweden
    e-mail: hoefner@astro.uu.se
2  Astronomical Obs., NBIfAFG, Copenhagen University, Juliane Maries Vej 30, 2100 Copenhagen, Denmark
    e-mail: anja@astro.ku.dk
3  Rüti, Switzerland
    e-mail: rita@gautschy.ch

(Received 21 October 2002 / Accepted 7 January 2003)

We present self-consistent dynamical models for dust-driven winds of carbon-rich AGB stars. The models are based on the coupled system of frequency-dependent radiation hydrodynamics and time-dependent dust formation. We investigate in detail how the wind properties of the models are influenced by the micro-physical properties of the dust grains that are required by the description of grain formation. The choice of dust parameters is significant for the derived outflow velocities, the degrees of condensation and the resulting mass-loss rates of the models. In the transition region between models with and without mass-loss the choice of micro-physical parameters turns out to be very significant for whether a particular set of stellar parameters will give rise to a dust-driven mass-loss or not. We also calculate near-infrared colors to test how the dust parameters influence the observable properties of the models, however, at this point we do not attempt to fit particular stars.

Key words: hydrodynamics -- radiative transfer -- stars: mass-loss -- stars: atmospheres -- stars: carbon -- stars: AGB and post-AGB

Offprint request: A. C. Andersen, anja@astro.ku.dk

SIMBAD Objects

© ESO 2003

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.