Simple sketch of what happens inside the LHC.
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            Updated
            Sep 20, 2020 
Simple sketch of what happens inside the LHC.
Mini framework to send LHCb simulation jobs to lxplus or a slurm batch system!
📦 GAN-based models to flash-simulate the LHCb PID detectors
Using Machine Learning to reconstruct trajectories of particles detected as hits by ATLAS experiment at LHC, Cern.
A hands-on workshop repository featuring Qiskit-based quantum computing exercises tailored for the LHCb physics community. Includes beginner-friendly notebooks on Qiskit fundamentals, Deutsch-Jozsa, QML, QAOA for Max-Cut, and Grover’s algorithm, with step-by-step explanations and simulations. Ideal for physicists exploring quantum algorithms.
🌐 Repository to generate the HTML poster about Lamarr for EuCAIFCon24
3D Neural Denoising for Track Reconstruction and Pattern ID @ LHCb TORCH Detector
The official LHCb run3 detector, geometry, event data modern web display at CERN
LHCb Run 1 Bs→ϕKK angular analysis
📦 Transformer-based models to flash-simulate the LHCb ECAL detector
📓 Scripts and logics to train PID models for the Ultra-Fast Simulation of the LHCb experiment
🌐 Repository to generate the HTML poster about Lamarr for ACAT 2024
[Python Package] VeloPix Track Reconstruction and Hyperparameter Optimization Framework for High-Energy Particle Physics at CERN. Provides efficient algorithms for particle track reconstruction, automated hyperparameter tuning, and scalable performance benchmarking to support cutting-edge experiments in high-energy physics.
Parametric LHCb Run 3 VELO simulation for reconstruction studies
📖 My master thesis at the University of Firenze
📖 My bachelor thesis at the University of Firenze
Electromagnetic Calorimeter shower classification. Validation of the machine learning approach on the LHCb use case.
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