Theses
2023
2022
Emil Bols | Machine Learning For Top Quark Physics | CMS | VUB |
Nadège Iovine | Searches for Dark Matter in the Centre of the Milky Way with the IceCube Neutrino Telescope | IceCube | ULB |
Pablo Correa | Merging Neutrino Astronomy with the Extreme Infrared Sky | IceCube | VUB |
Paul Coppin | Investigation of the precursor phase of gamma-ray bursts through gamma-ray and high-energy neutrino observations | IceCube | VUB |
2021
Lucas Weinber | Study of the Drell-Yan Process Associated with Multi Jet Production at the LHC | CMS | ULB |
Matthieu Duflot | Simulation Monte Carlo par le Programme Geant4 de Prototypes de Modules 2S du Trajectographe de l’Upgrade de l’Experience CMS du LHC | CMS | ULB |
Nordin Breugelmans | Probing the charm quark Yukawa coupling using machine learning algorithms | CMS | VUB |
Yarno Merckx | MODELING OF NEUTRINO PRODUCTION IN STARBURST-DRIVEN (ULTRA)-LUMINOUS INFRARED GALAXIES | IceCube | VUB |
2020
Ali Safa | Characterization of the new tracker sensors for the CMS experiment at CERN | CMS | ULB |
Zeb Van Ranst | Multi-Messenger studies of Gamma-Ray bursts | IceCube | VUB |
Kevin Turbang | The Strong CP Problem and Gravitational Waves | Pheno | VUB |
Olivier Dupon | Sensitivity to new physics in tt ̄ production at e+e− colliders at √s = 365 GeV (at KUL) | Future Experiments | VUB |
Yens Elskens | Background measurements for the MILLIQAN experiment | Future Experiments | VUB |
2019
David Vannerom | Search for new physics in the dark sector with the CMS detector | CMS | ULB |