3 citations · 4 across the 3 of their papers we have counts for
3 papers
physics.ins-det2025
Physics Informed Neural Networks for design optimisation of diamond particle detectors for charged particle fast-tracking at high luminosity hadron colliders
Alessandro Bombini, Alessandro Rosa, Clarissa Buti +2
Future high-luminosity hadron colliders demand tracking detectors with extreme radiation tolerance, high spatial precision, and sub-nanosecond timing. 3D diamond pixel sensors offe…
astro-ph.GA2025★ 3 cited
Classifying spectra of emission-line regions with neural networks -- An application to integral field spectroscopic data of M33
Caterina Bracci, Francesco Belfiore, Michele Ginolfi +13
Emission-line regions are key to understanding the properties of galaxies, as they trace the exchange of matter and energy between stars and the interstellar medium (ISM). In nearb…
physics.app-ph2023★ 1 cited
ganX -- generate artificially new XRF a python library to generate MA-XRF raw data out of RGB images
Alessandro Bombini
In this paper we present the first version of ganX -- generate artificially new XRF, a Python library to generate X-ray fluorescence Macro maps (MA-XRF) from a coloured RGB image.…