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Lookup NU author(s): Dr Dominic BowmanORCiD,
Dr Philipp Edelmann,
Professor Tamara Rogers
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© ESO 2020. Context. Massive stars are predicted to excite internal gravity waves (IGWs) by turbulent core convection and from turbulent pressure fluctuations in their near-surface layers. These IGWs are extremely efficient at transporting angular momentum and chemical species within stellar interiors, but they remain largely unconstrained observationally. Aims. We aim to characterise the photometric detection of IGWs across a large number of O and early-B stars in the Hertzsprung-Russell diagram, and explain the ubiquitous detection of stochastic variability in the photospheres of massive stars. Methods. We combined high-precision time-series photometry from the NASA Transiting Exoplanet Survey Satellite with high-resolution ground-based spectroscopy of 70 stars with spectral types O and B to probe the relationship between the photometric signatures of IGWs and parameters such as spectroscopic mass, luminosity, and macroturbulence. Results. A relationship is found between the location of a star in the spectroscopic Hertzsprung-Russell diagram and the amplitudes and frequencies of stochastic photometric variability in the light curves of massive stars. Furthermore, the properties of the stochastic variability are statistically correlated with macroturbulent velocity broadening in the spectral lines of massive stars. Conclusions. The common ensemble morphology for the stochastic low-frequency variability detected in space photometry and its relationship to macroturbulence is strong evidence for IGWs in massive stars, since these types of waves are unique in providing the dominant tangential velocity field required to explain the observed spectroscopy.
Author(s): Bowman DM, Burssens S, Simon-Diaz S, Edelmann PVF, Rogers TM, Horst L, Ropke FK, Aerts C
Publication type: Article
Publication status: Published
Journal: Astronomy and Astrophysics
Online publication date: 07/08/2020
Acceptance date: 01/06/2020
ISSN (print): 0004-6361
ISSN (electronic): 1432-0746
Publisher: EDP Sciences
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