4 papers
Optimization of 3D diamond detectors with graphitized electrodes based on an innovative numerical simulation
Lucio Anderlini, Alessandro Bombini, Clarissa Buti +4
Future experiments at hadron colliders require an evolution of the tracking sensors to ensure sufficient radiation hardness as well as space and time resolution to handle unprecede…
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…
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…
Towards virtual painting recolouring using Vision Transformer on X-Ray Fluorescence datacubes
Alessandro Bombini, Fernando GarcÃa-Avello BofÃas, Francesca Giambi +1
In this contribution, we define (and test) a pipeline to perform virtual painting recolouring using raw data of X-Ray Fluorescence (XRF) analysis on pictorial artworks. To circumve…