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Published May 10, 2024 | Published
Journal Article Open

Variability of Blue Supergiants in the LMC with TESS

Abstract

The blue supergiant (BSG) problem, namely, the overabundance of BSGs inconsistent with classical stellar evolution theory, remains an open question in stellar astrophysics. Several theoretical explanations have been proposed, which may be tested by their predictions for the characteristic time variability. In this work, we analyze the light curves of a sample of 20 BSGs obtained from the Transiting Exoplanet Survey Satellite (TESS) mission. We report a characteristic signal in the low-frequency (f ≲ 2 day−1) range for all our targets. The amplitude spectrum has a peak frequency of ∼0.2 day−1, and we are able to fit it by a modified Lorentzian profile. The signal itself shows strong stochasticity across different TESS sectors, suggesting its driving mechanism happens on short (≲months) timescales. Our signals resemble those obtained for a limited sample of hotter OB stars and yellow supergiants, suggesting their possible common origins. We discuss three possible physical explanations: stellar winds launched by rotation, convection motions that reach the stellar surface, and waves from the deep stellar interior. The peak frequency of the signal favors processes related to the convective zone caused by the iron opacity peak, and the shape of the spectra might be explained by the propagation of high-order, damped gravity waves excited from that zone. We discuss the uncertainties and limitations of all these scenarios.

Copyright and License

© 2024. 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

We thank Dominic Bowman, Jim Fuller, Matteo Cantiello, Stephen Justham, Yanqin Wu, and Norbert Langer for useful discussions. This work was initiated at the Kavli Summer Program in Astrophysics 2023, hosted at the Max Planck Institute for Astrophysics. We thank the Kavli Foundation and the MPA for their support. C.J. gratefully acknowledges support from the Netherlands Research School of Astronomy (NOVA). Some of the data presented in this paper were obtained from MAST at the Space Telescope Science Institute. The specific observations analyzed can be accessed via the MAST website at doi:10.17909/df38-ax53. STScI is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS526555. Support to MAST for these data is provided by the NASA Office of Space Science via grant NAG57584 and by other grants and contracts. This work presents results from the European Space Agency (ESA) space mission Gaia. Gaia data are being processed by the Gaia Data Processing and Analysis Consortium (DPAC). Funding for the DPAC is provided by national institutions, in particular, the institutions participating in the Gaia MultiLateral Agreement (MLA). The Gaia mission webpage can be found on the ESA website. 9 The Gaia archive can be found on the ESA website. 10

Software References

This research made use of Astropy, 11 a community-developed core Python package for Astronomy (Astropy Collaboration et al. 201320182022), Lightkurve, a Python package for Kepler and TESS data analysis (Lightkurve Collaboration et al. 2018), the LATTE (Eisner et al. 2020) matplotlib (Hunter 2007), NumPy (Harris et al. 2020), and SciPy (Virtanen et al. 2020) packages, the MESA (Paxton et al. 20112013201520182019; Jermyn et al. 2023) software, and SDK version 22.6.1. 12

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Additional details

Created:
May 29, 2024
Modified:
May 29, 2024