Papers

S. Bartocci et al. , “Deep learning based event reconstruction for the Limadou High-Energy Particle Detector”. In:Phys. Rev. D 105, 022004.doi:10.1103/PhysRevD.105.022004
A. Di Luca, F. M. Follega, R. Iuppa, M. Cistoforetti, “Automatic selection of observables for the analysis of high-energy particle jets”. In:Nuovo Cimento della SocietaItaliana di Fisica C44.2-3 (2021).doi:10.1393/ncc/i2021-21042-5
A. Di Luca, D. Mascione, F. M. Follega, R. Iuppa, M. Cistoforetti, “Deep Neural Network resizing for real-time applications in High Energy Physics”. In:PoSLHCP2021 (2021), p. 257.doi:10.22323/1.397.0257

Talk and seminars

A. Di Luca, 107°Congresso Nazionale Società Italiana di Fisica (SIF107), “Identificazione del sapore dei getti di particelle tramite una rete neurale profonda nell’esperimento ATLAS”, 13 –17 September 2021
A. Di Luca,10th International Conference on New Frontiers in Physics (ICNFP 2021), “Raising impact of particle Physics outreach events through gamification”, 24 August 2021
A. Di Luca, 106° Congresso Nazionale Società Italiana di Fisica (2020), “Selezione automatizzata delle osservabili dei jet di particelle per le analisi dati negli esperimenti di fisica delle alte energie.”, 14 –18 September 2020
F.M. Follega, 106° Congresso Nazionale Società Italiana di Fisica (2020), “Ricostruzione degli eventi di Limadou-HEPD con tecniche di Deep Learning”, 14 –18 September 2020
A. Di Luca, 40th International Conference on High Energy Physics (ICHEP 2020), “Automated selection of particle-jet features for data analysis in High Energy Physics experiments”, 28 July 2020
A. Di Luca, 4th ATLAS Machine Learning Workshop 11-15 November 2019, CERN, “Automated selection of particle-jet features for data analysis in ATLAS experiment”
F.M. Follega, 15th Topical Seminar on Innovative Particle and Radiation Detectors 14-17 October 2019 “Pure machine-learning analysis of the response of a plastic scintillator to charged particles”

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