activity
20172025
most citedUnitary 4-point correlators from classical geometries

57 citations · 165 across the 14 of their papers we have counts for

collaborators

14 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…

physics.ins-det2025

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…

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…

cs.CV2024

Towards virtual painting recolouring using Vision Transformer on X-Ray Fluorescence datacubes

Alessandro Bombini, Fernando García-Avello Bofías, 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…

cs.LG2024★ 2 cited

Datacube segmentation via Deep Spectral Clustering

Alessandro Bombini, Fernando García-Avello Bofías, Caterina Bracci +2

Extended Vision techniques are ubiquitous in physics. However, the data cubes steaming from such analysis often pose a challenge in their interpretation, due to the intrinsic diffi…

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.…