1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2025
Enhancing nuclear cross-section predictions with deep learning: the DINo algorithm
Levana Gesson, Greg Henning, Jonathan Collin +1
Accurate modeling of nuclear reaction cross-sections is crucial for applications such as hadron therapy, radiation protection, and nuclear reactor design. Despite continuous advanc…
physics.ins-det2025
Calibration of a E-E telescope based on CeBr scintillator for secondary charged particles measurements in hadron therapy
L. Gesson, J. Gross, C. Mozzi +10
Hadrontherapy is an established cancer treatment method that enables a more localized dose deposition compared to conventional radiotherapy, potentially reducing the dose to surrou…
physics.ins-det2022★ 1 cited
Spatial resolution determination of a position sensitive ultra-cold neutron detector
B. Clément, L. Gesson, T. Jenke +4
The study of the properties of the quantum states of bouncing neutrons requires position sensitive detection with micro-metric spatial resolution. The UCNBoX detector relies on Cha…