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20172024
most citedA Hot Saturn Orbiting An Oscillating Late Subgiant Discovered by TESS

95 citations · 502 across the 17 of their papers we have counts for

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Showing astro-ph.SRShow all

20 papers · 1 filter

astro-ph.SR202212 cited

Mode Mixing and Rotational Splittings: I. Near-Degeneracy Effects Revisited

J. M. Joel Ong, Lisa Bugnet, Sarbani Basu

Rotation is typically assumed to induce strictly symmetric rotational splitting into the rotational multiplets of pure p- and g-modes. However, for evolved stars exhibiting mixed m…

astro-ph.SR2022

Can we detect deep axisymmetric toroidal magnetic fields in stars?

Hachem Dhouib, Stéphane Mathis, Lisa Bugnet +2

One of the major discoveries of asteroseismology is the signature of a strong extraction of angular momentum (AM) in the radiative zones of stars across the entire Hertzsprung-Russ…

astro-ph.SR202222 cited

Detecting deep axisymmetric toroidal magnetic fields in stars. The traditional approximation of rotation for differentially rotating deep spherical shells with a general azimuthal magnetic field

Hachem Dhouib, Stéphane Mathis, Lisa Bugnet +2

Asteroseismology has revealed small core-to-surface rotation contrasts in stars in the whole HR diagram. This is the signature of strong transport of angular momentum (AM) in stell…

astro-ph.SR202130 cited

TESS Data for Asteroseismology (T'DA) Stellar Variability Classification Pipeline: Set-Up and Application to the Kepler Q9 Data

Jeroen Audenaert, James S. Kuszlewicz, Rasmus Handberg +16

The NASA Transiting Exoplanet Survey Satellite (TESS) is observing tens of millions of stars with time spans ranging from 27 days to about 1 year of continuous observations.…

astro-ph.SR2021

Magnetic signatures on mixed-mode frequencies. I. An axisymmetric fossil field inside the core of red giants

L. Bugnet, V. Prat, S. Mathis +6

The discovery of the moderate differential rotation between the core and the envelope of evolved solar-like stars could be the signature of a strong magnetic field trapped inside t…

astro-ph.SR202132 cited

ROOSTER: a machine-learning analysis tool for Kepler stellar rotation periods

Sylvain N. Breton, Angela R. G. Santos, Lisa Bugnet +3

In order to understand stellar evolution, it is crucial to efficiently determine stellar surface rotation periods. An efficient tool to automatically determine reliable rotation pe…