Abstract
The OPERA neutrino detector in the underground Gran Sasso Laboratory (LNGS) has been designed to perform the first detection of neutrino oscillations in direct appearance mode through the study of the νμ→ντ channel. The hybrid apparatus consists of an emulsion/lead target complemented by electronic detectors and it is placed in the high energy long-baseline CERN to LNGS beam (CNGS) 730 km away from the neutrino source. Runs with CNGS neutrinos were successfully carried out in 2008 and 2009. After a brief description of the beam, the experimental setup and the procedures used for the analysis of the neutrino events, we describe the topology and kinematics of a first candidate ντ charged-current event satisfying the kinematical selection criteria. The background calculations and their cross-check are explained in detail and the significance of the event is assessed.
Highlights
Neutrino oscillations were anticipated nearly 50 years ago [1] but were observed much later [2]
Nant transition channel at the atmospheric scale. This is the main goal of the OPERA experiment [11,12,13] with the high energy long baseline CERN to LNGS beam (CNGS) [14] neutrino beam from CERN to the Gran Sasso Underground Laboratory of INFN
The one-prong inelastic interactions of primary hadrons produced in νμ CC interactions where the primary muon is not identified or in νμ NC interactions and in which no nuclear fragment can be associated with the secondary interaction
Summary
Neutrino oscillations were anticipated nearly 50 years ago [1] but were observed much later [2]. Atmospheric neutrino oscillations, in particular, have been studied by the Kamiokande [4], Super-Kamiokande [2], MACRO [5] and SOUDAN2 [6] experiments. Nant transition channel at the atmospheric scale. This is the main goal of the OPERA experiment [11,12,13] with the high energy long baseline CNGS [14] neutrino beam from CERN to the Gran Sasso Underground Laboratory of INFN. The observation of interactions of CNGS neutrinos in the OPERA detector have already been presented [15]. We evaluate the expected numbers of signal and background events in the data sample analysed so far, the probability that the event is due to a background fluctuation and the statistical significance of the observation
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