| Issue |
A&A
Volume 705, January 2026
|
|
|---|---|---|
| Article Number | A187 | |
| Number of page(s) | 15 | |
| Section | Stellar structure and evolution | |
| DOI | https://doi.org/10.1051/0004-6361/202554022 | |
| Published online | 21 January 2026 | |
Interferometric view into RT Pav’s long secondary period
Binary versus oscillatory convective modes★
1
European Southern Observatory Alonso de Cordova 3107 Vitacura 19001 Santiago, Chile
2
Research School of Astronomy and Astrophysics, Australian National University Canberra 2611, Australia
3
Institute of Astronomy, KU Leuven Celestijnenlaan 200D 3001 Leuven, Belgium
4
Institut d’Astronomie et d’Astrophysique, Université Libre de Bruxelles (ULB) CP 226 1050 Brussels, Belgium
5
Astronomical Observatory, University of Warsaw Al. Ujazdowskie 4 00-478 Warsaw, Poland
6
Departamento de Física, Universidad de Santiago de Chile Av. Victor Jara 3659 Santiago, Chile
7
Center for Interdisciplinary Research in Astrophysics and Space Exploration (CIRAS), USACH Santiago, Chile
★★ Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
4
February
2025
Accepted:
21
November
2025
Context. Long secondary periods (LSPs) occur in roughly one third of evolved stars, yet their origin remains uncertain. Two leading hypotheses are oscillatory convective modes and a binary companion enshrouded in dust.
Aims. We investigate the LSP in the red giant RT Pav using multiwavelength interferometry to test these competing hypotheses.
Methods. Observations of RT Pav were obtained with the VLTI instruments PIONIER, GRAVITY, and MATISSE spanning 1.5–5.0 μm, near the expected phase of maximum projected separation under a binary hypothesis. These data were complemented by photometric data and Gaia DR3 astrometry to constrain companion mass, orbital geometry, and photometric amplitude. Monte Carlo simulations evaluated expected interferometric signatures under both scenarios. Parametric models, including uniform-disk, limb-darkened, uniform-ellipse, binary, and oscillatory convective dipole representations, were fitted to squared-visibility and closure-phase data, informing image reconstructions.
Results. Gaia constrains any potential companion to a mass whose Roche-lobe volume is smaller than the minimum extent required by the observed photometric modulation, implying that any obscuring or scattering region capable of producing the observed variability would lie beyond the gravitationally bound zone of such a companion. Binary models often return the lowest χν2, yet fitted positions are not consistent across wavelength, closure phases do not increase with wavelength as a dusty companion would predict, and we only find significant (> 3σ) detections occurring in two of the four tested instrumental wavebands, which is inconsistent with a coherent companion signal. Furthermore simulations and theoretical estimates indicate that a companion with a ∼1% flux ratio, at LSP-consistent separations should be consistently detectable (near or above our 3σ limits) for standard O-rich asymptotic giant branch (AGB) dust via scattering and/or thermal emission, which is not found. Conversely, an oscillatory convective dipole with a ∼200 K temperature contrast reproduces the H band morphology and the visible light-curve amplitude without violating Gaia or photometric constraints. Finally, significant short wavelength companion signals are completely removed when fitting the residuals of the best fit dipole model.
Conclusions. Our interferometric snapshot of RT Pav, acquired near the phase of maximum projected separation under the binary hypothesis, supports oscillatory convective modes as the most physically consistent explanation for its LSP. A logical next step will be time-resolved spectro-interferometric monitoring across the LSP cycle.
Key words: binaries: general / stars: low-mass / stars: oscillations / planetary systems / stars: winds / outflows / infrared: stars
© 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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