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University of Pisa Department of Physics Largo B. Pontecorvo 3, 56127 Pisa, Italy

INTENSE promotes the collaboration among European and US researchers involved in the most important particle physics research projects at the high intensity frontier.  Lepton mixings and massive neutrinos offer a gateway to deviations from the Standard Model in the lepton sector including Charged Lepton Flavour Violation (CLFV). The FNAL Short-Baseline Neutrino (SBN) program based on three almost identical liquid argon Time Project Chambers located along the Booster Neutrino Beam offers a compelling opportunity to perform the precision measurement of the neutrino oscillation and the most sensitive search of sterile neutrinos at the eV mass scale through appearance and disappearance oscillation searches.  The FNAL SBN program and the CERN ProtoDUNE are a major step towards the global effort in realising the Deep Underground Neutrino Experiment (DUNE). Mu2e at FNAL will improve the sensitivity on the search for the CLFV neutrinoless, coherent conversion of muons into electrons in the field of a nucleus by four orders of magnitude. MEG-II and Mu3e at PSI will improve the sensitivity on other CLFV muon decays. These endeavours foster the development of cutting-edge technologies with spin-offs also outside particle physics.

 

Scientific Committee

Alessandro Iovene (CAEN) 

Andreas Knecht (Paul Scherrer Institut)

Angela Papa (University and INFN Pisa)

Daniele Gibin (University and INFN Padova)

Mark Lancaster (University of Manchester)

Marzio Nessi (CERN)

Melissa Uchida (University of Cambridge)

Michele Weber (University of Bern)

Niklaus Berger (University of Mainz)

Radia Sia (Clever Operation)

Sandro Palestini (CERN)

Simone Donati (University and INFN Pisa)

 

Organizing Committee

Alessandra Taffara (INFN Pisa)

Antonio Gioiosa (University of Pisa)

Daniele Pasciuto (INFN Pisa)

Elena Pedreschi (INFN Pisa)

Franco Spinella (INFN Pisa)

Luca Morescalchi (INFN Pisa)

Valerio Giusti (University and INFN Pisa)

 

This work was supported by the EU Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie Grant Agreement No. 858199.