KRTIČKA, Jiří and Achim FELDMEIER. Stochastic light variations in hot stars from wind instability: finding photometric signatures and testing against the TESS data. Astronomy and Astrophysics. EDP Sciences, 2021, vol. 648, April, p. "A79", 9 pp. ISSN 0004-6361. Available from: https://dx.doi.org/10.1051/0004-6361/202040148.
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Basic information
Original name Stochastic light variations in hot stars from wind instability: finding photometric signatures and testing against the TESS data
Authors KRTIČKA, Jiří (203 Czech Republic, guarantor, belonging to the institution) and Achim FELDMEIER.
Edition Astronomy and Astrophysics, EDP Sciences, 2021, 0004-6361.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10308 Astronomy
Country of publisher France
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 6.240
RIV identification code RIV/00216224:14310/21:00118998
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1051/0004-6361/202040148
UT WoS 000647070100001
Keywords in English stars: winds; outflows; stars: mass-loss; stars: early-type; hydrodynamics; instabilities; stars: variables: general
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 3/6/2021 09:26.
Abstract
Context. Line-driven wind instability is expected to cause small-scale wind inhomogeneities, X-ray emission, and wind line profile variability. The instability can already develop around the sonic point if it is initiated close to the photosphere due to stochastic turbulent motions. In such cases, it may leave its imprint on the light curve as a result of wind blanketing.Aims. We study the photometric signatures of the line-driven wind instability.Methods. We used line-driven wind instability simulations to determine the wind variability close to the star. We applied two types of boundary perturbations: a sinusoidal one that enables us to study in detail the development of the instability and a stochastic one given by a Langevin process that provides a more realistic boundary perturbation. We estimated the photometric variability from the resulting mass-flux variations. The variability was simulated assuming that the wind consists of a large number of independent conical wind sectors. We compared the simulated light curves with TESS light curves of OB stars that show stochastic variability.Results. We find two typical signatures of line-driven wind instability in photometric data: a knee in the power spectrum of magnitude fluctuations, which appears due to engulfment of small-scale structure by larger structures, and a negative skewness of the distribution of fluctuations, which is the result of spatial dominance of rarefied regions. These features endure even when combining the light curves from independent wind sectors.Conclusions. The stochastic photometric variability of OB stars bears certain signatures of the line-driven wind instability. The distribution function of observed photometric data shows negative skewness and the power spectra of a fraction of light curves exhibit a knee. This can be explained as a result of the line-driven wind instability triggered by stochastic base perturbations.
Links
GA18-05665S, research and development projectName: Ztráta hmoty v pozdních fázích vývoje hmotných hvězd
Investor: Czech Science Foundation
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