Improving Parametric Neural Networks for High-Energy Physics (and Beyond)

1 code implementation • 1 Feb 2022 • Luca Anzalone, Tommaso Diotalevi, Daniele Bonacorsi

Signal-background classification is a central problem in High-Energy Physics (HEP), that plays a major role for the discovery of new fundamental particles.

Vocal Bursts Intensity Prediction

Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre

no code implementations • 13 May 2021 • Tommaso Diotalevi, Antonio Falabella, Barbara Martelli, Diego Michelotto, Lucia Morganti, Daniele Bonacorsi, Luca Giommi, Simone Rossi Tisbeni

The distributed Grid infrastructure for High Energy Physics experiments at the Large Hadron Collider (LHC) in Geneva comprises a set of computing centres, spread all over the world, as part of the Worldwide LHC Computing Grid (WLCG).