Titre:
  • Computational techniques for the analysis of small signals in high-statistics neutrino oscillation experiments
Auteur:Aartsen, M. G.; Aguilar Sanchez, Juan Antonio; Ansseau, Isabelle; Baur, Sebastian; Heereman von Zuydtwyck, David; Iovine, Nadège; Maris, Ioana Codrina; Meures, Thomas; Mockler, Daniela; O'Murchadha, Aongus; Pinat, Elisa; Raab, Christoph; Renzi, Giovanni; Toscano, Simona
Informations sur la publication:Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 977, 164332
Statut de publication:Publié, 2020-10-01
Sujet CREF:Physique des particules élémentaires
Mots-clés:Data analysis
Detector
KDE
MC
Monte Carlo
Neutrino
Neutrino mass ordering
Smoothing
Statistics
VLVνT
Note générale:SCOPUS: ar.j
Langue:Anglais
Identificateurs:urn:issn:0168-9002
info:doi/10.1016/j.nima.2020.164332
info:pii/S0168900220307294
info:scp/85087620956