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20 April 2024
 
  » arxiv » arxiv.0704.2390

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Neglecting the porosity of hot-star winds can lead to an underestimation of mass-loss rates
L. M. Oskinova ; W.-R. Hamann ; A. Feldmeier ;
Date 18 Apr 2007
Subject Astrophysics (astro-ph)
AbstractAdequate stellar atmosphere models are required for spectral analyses and mass-loss determinations of massive stars. Present models account for the inhomogeneity of stellar winds only in the approximation of small-scale optically thin clumps. Compared to previous homogeneous models, this treatment has led to a reduction of empirical mass-loss rates by factors of two to three, and even further reductions are presently discussed. We generalized the Potsdam Wolf-Rayet (PoWR) model atmosphere code in the ``formal integral’’ in order to account for clumps which are not necessarily optically thin . The stellar wind is characterized by the filling factor of the dense clumps, and by their average separation. Adopting a statistical distribution of clumps, an effective opacity is obtained and applied for the radiative transfer. Our model shows that wind porosity has a pronounced effect on the emergent spectrum. Modeling for the O-type supergiant Zeta Puppis reveals that the optically thin H_alpha line is not affected by wind porosity, but the PV resonance doublet becomes significantly weaker when porosity is taken into account. In the case of Wolf-Rayet stars we demonstrate for two representative models that stronger lines are typically reduced by a factor of two in intensity, while very weak lines remain unchanged by porosity effects with a plausible choice of the clump-separation parameter. Therefore, in the case of Zeta Puppis, the reported discrepancies between resonance-line and recombination-line diagnostics can be entirely resolved with the models which include wind porosity, without a downward revision of the mass-loss rate. As porosity effect reduces the strength of spectral features, its neglection hitherto in stellar wind modeling has potentially led to an underestimation of empirical mass-loss rates.
Source arXiv, arxiv.0704.2390
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