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© 2019

Publications

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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