Digital Twins for Nuclear and Particle physics - NPTwins 2025

Europe/Rome
Aula Accademia Peloritana (Università di Messina)

Aula Accademia Peloritana

Università di Messina

Piazza Pugliatti 1, 98122 Messina ME
Alessandro Pilloni (UniME & INFN CT), Marco Battaglieri (Istituto Nazionale di Fisica Nucleare), Pasquale Di Nezza (Istituto Nazionale di Fisica Nucleare), Giacomo Fiumara (Università degli Studi di Messina), Marco Letizia (Istituto Nazionale di Fisica Nucleare), Emanuele Roberto Nocera (Istituto Nazionale di Fisica Nucleare)
Description

Nuclear and high energy physics facilities, such as CERN, Jefferson Lab, RHIC, and the forthcoming EIC, have been built around the world to study the visible universe at the fermi scale. They are already producing exabytes of data. This unprecedented amount of data holds the promise of solving many of the mysteries in elementary particle interactions such as QCD in the nonperturbative regime. However, extracting the required information is an extremely challenging task, as there is no available analytic solution to interpret data. Solving this challenge requires nuclear and particle physics to develop and adopt methods from data science, AI/ML, applied mathematics, and large-scale computing and adapt them to this goal. Digital twins, in particular, can simulate and model complex nuclear and elementary particle processes, providing a virtual replica that enhances understanding and predictive capabilities. This multidisciplinary approach, fostering cross-field collaboration and the exchange of ideas, is still in its infancy. The integration of digital twins into nuclear and particle physics could revolutionize how we approach and solve these complex challenges.

This is the second edition, after Genoa (2024).

The workshop will be held in the Main Building of Messina University. It will start after lunch on Monday, October 6 and continue for other two full days until 6pm on Wednesday, October 8.

The format includes contributions from experts in Physics and Data Science according to five tracks: 

  1. Data reconstruction;
  2. Data analyses;
  3. Physics extraction;
  4. Physics interpretation;
  5. AI tools.

 

Supported by:

   

Registration
Participants
    • 09:00 12:30
      Talks
      • 09:00
        Goodness-of-fit by Neyman-Pearson Testing: The NPLM Method 30m
        Speakers: Andrea Wulzer (PD), Andrea Wulzer (ICREA & IFAE)
      • 09:30
        Machine Learning for LHC esperiments 30m
        Speakers: Francesco Armando Di Bello (University of Geneva), Francesco Armando Di Bello (Istituto Nazionale di Fisica Nucleare), Francesco Di Bello (Sapienza)
      • 10:00
        Signal Extraction and Parameter Estimation via Density Ratio 30m
        Speakers: Derek Glazier (University of Edinburgh), Derek Ian Glazier
      • 10:30
        Coffee break 30m
      • 11:00
        Renormalization Group for Signal Analysis 30m
        Speakers: Dr Riccardo Finotello (CEA Paris-Saclay), Riccardo Finotello (Università degli Studi di Torino)
      • 11:30
        A(I)DAPT 30m
        Speaker: Tommaso Vittorini (Istituto Nazionale di Fisica Nucleare)
      • 12:00
        Diffusion models for physics extraction 30m
        Speaker: Giorgio Foti (Università di Messina & INFN Catania)
    • 12:30 14:00
      Lunch 1h 30m
    • 14:00 17:30
      Talks
      • 14:00
        Generative models and fast simulations 30m
        Speaker: Claudius Krause
      • 14:30
        Parton Distributions from the NTK: Analytical Results 30m
        Speakers: Amedeo Chiefa, Amedeo Chiefa
      • 15:00
        Extraction of information from deeply virtual exclusive experiments 30m
        Speaker: Simonetta Liuti (University of Virginia)
      • 15:30
        Coffee break 30m
      • 16:00
        AI tools for QCD 30m
        Speaker: Nobuo Sato (Jefferson Lab)
      • 16:30
        Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider 30m
        Speaker: James Giroux (William & Mary)
    • 09:00 12:30
      Talks
      • 09:00
        Machine learning for cosmology 30m
        Speaker: Marco Raveri (Istituto Nazionale di Fisica Nucleare)
      • 09:30
        From cross sections to scattering amplitudes using ML with built-in physics 30m
        Speakers: Gloria Montana (University of Barcelona, Institute of Cosmos Sciences (ICCUB)), Gloria Montana (Jefferson Lab)
      • 10:00
        AI applications to pion scattering 30m
        Speakers: Wyatt Smith (Indiana University), Wyatt Smith (Messina U. and UC Berkeley and LBL)
      • 10:30
        Coffee Break 30m
      • 11:00
        AI tools in HEP 30m
        Speaker: Federica Legger (Istituto Nazionale di Fisica Nucleare)
      • 11:30
        Modern Machine Learning for Monte Carlo Event Generators 30m
        Speaker: Ramon Winterhalder
      • 12:00
        Generative AI for Inverse Problems in Nuclear and Particle Physics 30m
        Speaker: Yaohang Li
    • 12:30 14:00
      Lunch 1h 30m
    • 14:00 17:30
      Talks
      • 14:00
        PIKS: universal physics-informed learning with kernels 30m
        Speaker: Joachim Bona-Pellissier
      • 14:30
        Online data reduction for the dual-radiator RICH detector in the ePIC experiment 30m
        Speaker: Cristian Rossi (Istituto Nazionale di Fisica Nucleare)
      • 15:00
        Report on EU AI strategy: The AI Continent 30m
        Speaker: Fosca Giannotti
      • 15:30
        Coffee Break 30m
      • 16:00
        Physics with Large Language and Reasoning models: an overview 30m
        Speaker: Nesar Chamachandra
      • 16:30
        AI for Data Center Cooling and Resource Allocation in LHCb 30m
        Speaker: Pierfrancesco Cifra (CERN)