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183 papers · 1 filter
Recurrent Neural Networks (RNNs) with dimensionality reduction and break down in computational mechanics; application to multi-scale localization step
Ling Wu, Ludovic Noels
Artificial Neural Networks (NNWs) are appealing functions to substitute high dimensional and non-linear history-dependent problems in computational mechanics since they offer the p…
The non-thermal emission from the colliding-wind binary Apep
S. del Palacio, P. Benaglia, M. De Becker +2
The recently discovered massive binary system Apep is the most powerful synchrotron emitter among the known Galactic colliding-wind binaries. This makes this particular system of g…
Ultraviolet Spectropolarimetry with Polstar: Clumping and Mass-loss Rate Corrections
Ken Gayley, Jorick S. Vink, Asif ud-Doula +13
The most massive stars are thought to lose a significant fraction of their mass in a steady wind during the main-sequence and blue supergiant phases. This in turn sets the stage fo…
BEBOP II: Sensitivity to sub-Saturn circumbinary planets using radial-velocities
Matthew R. Standing, Amaury H. M. J. Triaud, João P. Faria +14
BEBOP is a radial-velocity survey that monitors a sample of single-lined eclipsing binaries, in search of circumbinary planets by using high-resolution spectrographs. Here, we desc…
Dynamical masses for two M1 + mid-M dwarf binaries monitored during the SPHERE-SHINE survey
Beth A. Biller, Antoine Grandjean, Sergio Messina +25
We present orbital fits and dynamical masses for HIP 113201AB and HIP 36985AB, two M1 + mid-M dwarf binary systems monitored as part of the SPHERE SHINE survey. To robustly determi…
Asteroseismology of Cephei stars: The stellar inferences tested in hare and hound exercises
Sébastien Salmon, Patrick Eggenberger, Josefina Montalbán +5
The Cephei pulsators are massive main-sequence stars, presenting low radial-order modes. These modes probe in particular the chemical gradient at the edge of the convective cor…