6 papers
SpecFANN: Spectral Fitting via Artificial Neural Networks I. A deep learning based fastwind emulator and fitting suite
M. Abdul-Masih, C. Hawcroft, T. Lechien +14
The importance of massive stars cannot be overstated: they are powerful probes of the early universe, play a vital role in the chemical and mechanical evolution of their host envir…
Southern Massive Stars at High Angular Resolution (SMaSH+): Properties of hierarchical massive triples
E. Bordier, H. Sana, A. J. Frost +9
While massive stars are frequently found in triple architectures, the lack of observed parameter distributions has long remained a bottleneck for statistical models of their evolut…
Variability classification of TESS targets in LOPS2, the first long-term pointing field of PLATO. Version 1 of the public variability catalogue
Mykyta Kliapets, Pablo Huijse, Jeroen Audenaert +28
The PLAnetary Transits and Oscillations of stars (PLATO) mission is expected to launch in January 2027. A total of 8\% of its data rate will be dedicated to complementary science t…
Exploiting tidal asteroseismology in binary populations from combined space photometry and time-resolved high-resolution spectroscopy
Ema Šipková, Alex Kemp, Dario Fritzewski +4
Space-based photometry has substantially increased the number of pulsating stars found in binary systems by more than four orders of magnitude. Combined with high-resolution spectr…
Populations of tidal and pulsating variables in eclipsing binaries
Alex Kemp, Jasmine Vrancken, Joey S. G. Mombarg +4
In this work, we seek to characterise a large sample of 14377 main sequence eclipsing binaries in terms of their stellar, asteroseismic, and orbital properties. We conduct manual v…
Observing Binaries
Hugues Sana, Jasmine Vrancken
Binary stars are dynamical systems formed by two stars that are physically bound by the gravitational force. Binary stars are privileged laboratories, allowing one to measure the f…