Journal
ASTRONOMY & ASTROPHYSICS
Volume 665, Issue -, Pages -Publisher
EDP SCIENCES S A
DOI: 10.1051/0004-6361/202243839
Keywords
stars: fundamental parameters; stars: variables: general; stars: oscillations; asteroseismology; techniques: spectroscopic
Categories
Funding
- KU Leuven Research Council [C16/18/005: PARADISE]
- Research Foundation Flanders (FWO) [G0H5416N]
- BELgian federal Science Policy Office (BELSPO) through PRODEX grant PLATO
- FWO [11E5620N, 1124321N, 12ZB620N, 1286521N]
- European Space Agency (ESA)
- BELSPO
- FWO
- Flemish Government
- NASA [NAS526555]
- NASA Office of Space Science [NAG5-7584]
- NASA Explorer Program
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The study analyzed 166 B-type stars with TESS light curves using spectroscopic data, identifying double-lined binaries and various types of stars. Surface parameters of the stars were determined through spectral analysis, providing essential data for further research on these stars.
Context. Spectroscopic data are necessary to break degeneracies in the asteroseismic modelling of the interior structure in high- and intermediate-mass stars. With the TESS mission, the number of bright intermediate-mass B-type stars with long photometric light curves that are suitable for detailed asteroseismic studies has increased substantially compared to the pre-TESS era. Aims. We derive precise photospheric stellar parameters for a sample of 166 B-type stars with TESS light curves through a homogeneous spectroscopic analysis. The variability types of these sample stars are also classified based on all currently available TESS sectors, and they are ultimately prioritised according to their astrophysical potential. Methods. We obtained high-resolution spectra for all 166 targets with the FEROS spectrograph in the context of a large program. The spectra were reduced with the CERES pipeline, which we adapted to improve the quality of the reduced spectra. These spectra were subsequently analysed with ZETA-PAYNE, a machine-learning-based spectrum analysis algorithm, to infer precise stellar labels for all stars in the sample. Furthermore, the least-squares deconvolution (LSD) method was employed to investigate spectral line profile variability (LPV) and isolate binary systems from presumably single stars. Results. The LSD profile analysis identified 26 spectroscopic double-lined binaries; the remainder of the sample are 42 supergiants in the Large Magellanic Cloud galaxy and 98 Galactic stars, both with and without apparent LPV. For the Galactic single stars and single-lined spectroscopic binaries, we determine their five main surface parameters: effective temperature (T-eff), surface gravity (log g), global metallicity ([M/H]), projected rotational velocity (v sin i), and microturbulent velocity (xi) with average formal precisions of 70 K, 0.03 dex, 0.07 dex, 8 km s(-1), and 0.7 km s(-1), respectively. The average internal uncertainties we find for FEROS spectra with our spectrum analysis method are 430 K (T-e(ff)), 0.12 dex (log g), 0.13 dex ([M/H]), 12km s(-1) (v sin i), and 2 km s(-1) (xi). Conclusions. We find spectroscopic evidence that 8 of the 98 galactic single or SB1 variables are fast-rotating gravity-mode pulsators occurring in between the slowly pulsating B (SPB) stars and S Scuti instability strips. The g-mode frequencies of these pulsators are shifted to relatively high frequency values due to their rotation, and their apparently too low T-eff relative to the SPB instability region can in most cases be explained by the gravity darkening effect. We also discover 13 new HgMn stars in the Galactic sample of which only one is found in a spectroscopic binary, resulting in a biased and therefore unreliable low binary rate of only 8%.
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