Asteroseismology with TESS: Emergence of Dipole Mode Suppression from Subgiants?
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1.
University of Science and Technology of China
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2.
University of Illinois Urbana-Champaign
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3.
Beijing Normal University
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4.
University of Birmingham
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5.
Tsinghua University
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6.
California Institute of Technology
Abstract
Dipole mode suppression is an observed behavior of solar-like oscillations in evolved stars. This study aims to search for depressed dipole modes in giant stars using data from the Transiting Exoplanet Survey Satellite (TESS) and investigate when the suppression starts to emerge. We study a sample of 8651 evolved stars from TESS and find 179 stars with significant dipole mode depression by comparing the oscillation amplitudes of radial and dipole modes. Notably, 11 of them are located near the base of the red giant branch, indicating that mode suppression appears earlier than the point inferred in previous studies with Kepler data. These findings provide new evidence for dipole mode suppression in giant stars, particularly in subgiants.
Copyright and License
© 2025. The Author(s). Published by the American Astronomical Society.
Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
This work is supported by the National Natural Science Foundation of China (NSFC) grant 12373031, the Joint Research Fund in Astronomy (U2031203) under cooperative agreement between the National Natural Science Foundation of China (NSFC) and Chinese Academy of Sciences (CAS), and the NSFC grants 12090040, 12090042, and the CSST project. This work is partly supported by the National Science Foundation of China (grant No. 12133005 to S.M.). This paper has also received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (CartographY GA. 804752). We also thank the TESS team for making this research possible.
Software References
emcee (D. Foreman-Mackey et al. 2013), PBjam (M. B. Nielsen et al. 2021).
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Additional details
Related works
- Is new version of
- Discussion Paper: arXiv:2502.13950 (arXiv)
- Is supplemented by
- Dataset: 10.17909/t9-nmc8-f686 (DOI)
Funding
- National Natural Science Foundation of China
- 12373031
- National Natural Science Foundation of China
- U2031203
- Chinese Academy of Sciences
- National Natural Science Foundation of China
- 12090040
- National Natural Science Foundation of China
- 12090042
- National Natural Science Foundation of China
- 12133005
- European Research Council
- 804752
Dates
- Accepted
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2025-01-14
- Available
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2025-02-18Published