15 citations · 33 across the 10 of their papers we have counts for
11 papers
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…
Binary stars take what they get: Evidence for Efficient Mass Transfer from Stripped Stars with Rapidly Rotating Companions
Thibault Lechien, Selma E. de Mink, Ruggero Valli +5
Binary stars and their interactions shape the formation of compact binaries, supernovae, and gravitational wave sources. The efficiency of mass transfer - the fraction of mass reta…
Pioneering High-Speed Pulsar Parameter Estimation Using Convolutional Neural Networks
Greg Olmschenk, Emily Broadbent, Constantinos Kalapotharakos +5
Accurate thermal emission models of neutron stars are essential for constraining the dense matter equation of state. However, incorporating realistic magnetic field structures is c…
Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review
Thibault Lechien, Enrique Dehaerne, Bappaditya Dey +4
A growing need exists for efficient and accurate methods for detecting defects in semiconductor materials and devices. These defects can have a detrimental impact on the efficiency…
Dark Matter reconstruction from stellar orbits in the Galactic Centre
Thibault Lechien, Gernot Heißel, Jai Grover +1
Context. Current constraints on distributed matter in the innermost Galactic Centre (such as a cluster of faint stars and stellar remnants, Dark Matter or a combination thereof) ba…
Neural network approach to reconstructing spectral functions and complex poles of confined particles
Thibault Lechien, David Dudal
Reconstructing spectral functions from propagator data is difficult as solving the analytic continuation problem or applying an inverse integral transformation are ill-conditioned…
Evolving test instances of the Hamiltonian completion problem
Thibault Lechien, Jorik Jooken, Patrick De Causmaecker
Predicting and comparing algorithm performance on graph instances is challenging for multiple reasons. First, there is usually no standard set of instances to benchmark performance…