Further studies on the physics potential of an experiment using LHC neutrinos
N Beni, M Brucoli, V Cafaro, T Camporesi… - Journal of Physics G …, 2020 - iopscience.iop.org
We discuss an experiment to investigate neutrino physics at the LHC, with emphasis on tau
flavour. As described in our previous paper Beni et al (2019 J. Phys. G: Nucl. Part. Phys. 46 …
flavour. As described in our previous paper Beni et al (2019 J. Phys. G: Nucl. Part. Phys. 46 …
XSEN: a N Cross Section Measurement using High Energy Neutrinos from pp collisions at the LHC
N Beni, S Buontempo, T Camporesi, F Cerutti… - arXiv preprint arXiv …, 2019 - arxiv.org
XSEN (Cross Section of Energetic Neutrinos) is a small experiment designed to study, for
the first time, neutrino-nucleon interactions (including the tau flavour) in the 0.5-1 TeV …
the first time, neutrino-nucleon interactions (including the tau flavour) in the 0.5-1 TeV …
Event reconstruction and data analysis techniques for the SHiP experiment
A Iuliano - 2021 - cds.cern.ch
Abstract SHiP (Search for Hidden Particles) is a proposed beam dump experiment, aiming at
searching for new long-lived particles by using the 400 GeV/c proton beam available from …
searching for new long-lived particles by using the 400 GeV/c proton beam available from …
Segmentation of EM showers for neutrino experiments with deep graph neural networks
V Belavin, E Trofimova… - Journal of …, 2021 - iopscience.iop.org
We introduce a first-ever algorithm for the reconstruction of multiple showers from the data
collected with electromagnetic (EM) sampling calorimeters. Such detectors are widely used …
collected with electromagnetic (EM) sampling calorimeters. Such detectors are widely used …
Implementation of a Machine Learning Regression Algorithm for Energy Reconstruction of Neutrino-induced Particle Showers using a Scintillating Fibres Tracker at …
S Mitra - 2020 - cds.cern.ch
SHiP and SND@ LHC are two burgeoning experiments, as part of CERN, designed to study
novel neutrino and BSM physics. Machine Learning (ML) algorithms need to be developed …
novel neutrino and BSM physics. Machine Learning (ML) algorithms need to be developed …
arXiv : XSEN: a N Cross Section Measurement using High Energy Neutrinos from pp collisions at the LHC
N Beni, G De Lellis, M Sabaté-Gilarte, L Patrizii… - 2019 - cds.cern.ch
Abstract XSEN (Cross Section of Energetic Neutrinos) is a small experiment designed to
study, for the first time, neutrino-nucleon interactions (including the tau flavour) in the 0.5-1 …
study, for the first time, neutrino-nucleon interactions (including the tau flavour) in the 0.5-1 …