| Issue |
A&A
Volume 707, March 2026
|
|
|---|---|---|
| Article Number | A94 | |
| Number of page(s) | 12 | |
| Section | Catalogs and data | |
| DOI | https://doi.org/10.1051/0004-6361/202557933 | |
| Published online | 06 March 2026 | |
The origin of sinusoidal brightness variations in F- to O-type stars through radial velocities
1
Department of Theoretical Physics and Astrophysics, Masaryk University,
Kotlářská 2,
61137
Brno,
Czech Republic
2
Institute of Astronomy, KU Leuven,
Celestijnenlaan 200D,
3001
Leuven,
Belgium
3
Astronomical Institute of the Czech Academy of Sciences,
Fričova 298,
25165
Ondřejov,
Czech Republic
4
Astronomical Institute of the Slovak Academy of Sciences,
059 60
Tatranská Lomnica,
Slovak Republic
★ Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
31
October
2025
Accepted:
21
December
2025
Abstract
Context. Stellar variability may originate from various phenomena such as binarity, pulsations, or rotation. These mechanisms can induce flux variations of similar magnitudes, shapes, and periods.
Aims. We aim to determine mechanisms responsible for the sinusoidal variations in main-sequence stars hotter than 6500 K.
Methods. We conducted our analysis using TESS long-cadence data complemented with high-resolution spectra from three spectrographs. From the initial sample of almost 46 000 objects, we selected 35 targets for spectroscopic follow-up. The comparison of light curves and radial-velocity curves allowed for the robust classification of these targets.
Results. Among the 35 selected objects, 18 displayed variability, suggesting the presence of a companion (including the discovery of seven new binary systems and one candidate for a triple-star system), one was identified as a new pulsator, nine as new candidates for spotted stars, and seven objects had uncertain classification. Our analysis shows that at least half of randomly selected stars with sinusoidal brightness variations are binaries.
Conclusions. The presented results illustrate the need for an individual approach to stellar classification, especially in cases where the photometric data alone is insufficient for determining the underlying phenomena behind the observed variations.
Key words: methods: data analysis / binaries: spectroscopic / stars: chemically peculiar / stars: rotation / stars: variables: general
© The Authors 2026
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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