Mass-loss predictions for O and B stars as a function of metallicity

By J. Vink, A. D. Koter, Henny J.G.L.M. Lamers Astronomical Institute, Utrecht University, T. C. A. Institute, U. Amsterdam, T. Z. F. O. Science, Technology, Medicine, London and 1 more. 2001

260 citations recorded by the source corpus.

We have calculated a grid of massive star wind models and mass-loss rates for a wide range of metal abundances between 1=100 Z=Z 10. The calculation of this grid completes the Vink et al. (2000) mass-loss recipe with an additional parameter Z. We have found that the exponent of the power law dependence of mass loss vs. metallicity is constant in the range between 1/30 Z=Z 3. The mass-loss rate scales as _ M / Z 0:85 v1 p with p = 1:23 for stars with Te > 25 000 K, and p = 1:60 for the B supergiants with Te 25 000 K, and _ M / Z 0:64 for B supergiants with Te < 25 000 K. Although it is derived that the exponent of the mass loss vs. metallicity dependence is constant over a large range in Z, one should be aware of the presence of bi-stability jumps at specic temperatures. Here the character of the line driving changes drastically due to recombinations of dominant metal species resulting in jumps in the mass loss. We have investigated the physical origins of these jumps and have derived formulae that combine mass loss recipes for both sides of such jumps. As observations of dierent galaxies show that the ratio Fe/O varies with metallicity, we make a distinction between the metal abundance Z derived on the basis of iron or oxygen lines. Our mass-loss predictions are successful in explaining the observed mass-loss rates for Galactic and Small Magellanic Cloud O- type stars, as well as in predicting the observed Galactic bi-stability jump. Hence, we believe that our predictions are reliable and suggest that our mass-loss recipe be used in future evolutionary calculations of massive stars at dierent metal abundance. A computer routine to calculate mass loss is publicly available.

Subfields: Astronomy and Astrophysics, Instrumentation, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/7761e535348ecc9aa15e5c7c0615f0781c1b6fa6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. Michela Mapelli
  2. N. Langer
  3. Selma de Mink
  4. Mario Spera
  5. N. Giacobbo
  6. Ilya Mandel
  7. Stan Woosley
  8. Matteo Cantiello

In Instrumentation

  1. N. Langer
  2. Selma de Mink
  3. Michela Mapelli
  4. Aaron Dotter
  5. Mario Spera
  6. B. Paxton
  7. J. Vink
  8. A. D. Koter

In Statistical and Nonlinear Physics

  1. Aaron Dotter
  2. B. Paxton
  3. L. Bildsten
  4. Matteo Cantiello
  5. Ralf Klessen
  6. S. Glover
  7. Sung-Chul Yoon
  8. A. Bressan

Citations in the corpus