15 citations · 33 across the 10 of their papers we have counts for
5 papers · 1 filter
You're Gonna Need a Bigger Core: Calibrating Massive Star Models against Galactic OB-type Stars
Thibault Lechien, Selma E. de Mink, Stephen Justham +3
The evolution of massive stars above 8 M depends critically on the amount of mixing above the convective core during the main sequence. However, current models typically ex…
Multiplicity of Massive Stars at Low Metallicity: Early Results from the BLOeM Campaign
T. Shenar, J. Bodensteiner, M. Abdul-Masih +73
Massive stars at low metallicity (Z) play a central role in shaping the high-redshift Universe, yet their multiplicity remains poorly constrained. The Binarity at Low Metallicity (…
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…
Multipolar Magnetic-Field Inference for PSR J0740+6620 with Neural-Network-Accelerated NICER Pulse-Profile Modeling
Farhana Taiyebah, Constantinos Kalapotharakos, Greg Olmschenk +6
We investigate the multipolar surface magnetic-field structure of the high-mass millisecond pulsar PSR J0740+6620 using the 32-bin bolometric NICER pulse profile of Dittmann et al.…
Disentangling the Galactic binary zoo: Machine learning classification of stellar remnant binaries in LISA data
Irwin Khai Cheng Tay, Valeriya Korol, Thibault Lechien
The Laser Interferometer Space Antenna (LISA) will open a new observational window in the millihertz gravitational-wave band, enabling the detection of tens of thousands of compact…