5 citations · 5 across the 1 of their papers we have counts for
2 papers
hep-ex2020★ 5 cited
Efficiency Parameterization with Neural Networks
C. Badiali, F. A. Di Bello, G. Frattari +4
Multidimensional efficiency maps are commonly used in high energy physics experiments to mitigate the limitations in the generation of large samples of simulated events. Binned mul…
physics.data-an2020
Towards a Computer Vision Particle Flow
Francesco Armando Di Bello, Sanmay Ganguly, Eilam Gross +4
In High Energy Physics experiments Particle Flow (PFlow) algorithms are designed to provide an optimal reconstruction of the nature and kinematic properties of the particles produc…