Napolitano, Fabrizio https://orcid.org/0000-0002-8686-5923
Bazzi, Massimiliano
Bragadireanu, Mario
Cargnelli, Michael
Clozza, Alberto
De Paolis, Luca
Del Grande, Raffaele https://orcid.org/0000-0002-7599-2716
Fiorini, Carlo
Guaraldo, Carlo
Iliescu, Mihail
Laubenstein, Matthias
Manti, Simone
Marton, Johann
Miliucci, Marco https://orcid.org/0000-0002-2315-2379
Piscicchia, Kristian
Porcelli, Alessio
Scordo, Alessandro
Sgaramella, Francesco https://orcid.org/0000-0002-0011-8864
Laura Sirghi, Diana
Sirghi, Florin
Vazquez Doce, Oton
Zmeskal, Johann
Curceanu, Catalina
Funding for this research was provided by:
Austrian Science Fund (P25529-N20)
Foundational Questions Institute (Grants No. FQXi-RFP-CPW-2008 and FQXi-MGA-2012)
H2020 TEQ (Grant 76900)
John Templeton Foundation (Grant 62099)
Instituto Nazionale di Fisica Nucleare
Centro Ricerche Enrico Fermi (Project: Problemi aperti nella meccanica quantisti)
Article Title: Novel machine learning and differentiable programming techniques applied to the VIP-2 underground experiment
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2023 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2023-05-26
Date Accepted: 2023-10-30
Online publication date: 2023-11-06