📖 My PhD thesis at the University of Firenze
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Updated
Aug 3, 2024
📖 My PhD thesis at the University of Firenze
📦 GAN-based models to flash-simulate the LHCb PID detectors
📦 Transformer-based models to flash-simulate the LHCb ECAL detector
3D Neural Denoising for Track Reconstruction and Pattern ID @ LHCb TORCH Detector
🌐 Repository to generate the HTML poster about Lamarr for EuCAIFCon24
🌐 Repository to generate the HTML poster about Lamarr for ACAT 2024
🌐 Repository to generate the HTML poster about Lamarr for ACAT 2022
📓 Scripts and logics to train tracking models for the flash simulation of the LHCb experiment
📓 Tutorials for the pidgan package
📖 My bachelor thesis at the University of Firenze
📖 My master thesis at the University of Firenze
Electromagnetic Calorimeter shower classification. Validation of the machine learning approach on the LHCb use case.
The official LHCb run3 detector, geometry, event data modern web display at CERN
Parametric LHCb Run 3 VELO simulation for reconstruction studies
Mini framework to send LHCb simulation jobs to lxplus or a slurm batch system!
Simple sketch of what happens inside the LHC.
Using Machine Learning to reconstruct trajectories of particles detected as hits by ATLAS experiment at LHC, Cern.
LHCb Run 1 Bs→ϕKK angular analysis
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