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      Final results of the search for \(\nu_{\mu} \to \nu_{e}\) oscillations with the OPERA detector in the CNGS beam

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          Abstract

          The OPERA experiment has discovered the tau neutrino appearance in the CNGS muon neutrino beam, in agreement with the 3 neutrino flavour oscillation hypothesis. Its target, made of Emulsion Cloud Chamber, was particularly efficient in the reconstruction of electromagnetic showers. Moreover, thanks to the very high granularity of the emulsion films, showers induced by electrons can be distinguished from those induced by \(\pi^0\)s, thus allowing the detection of charged current interactions of electron neutrinos. In this paper the results of the search for electron neutrino events using the full dataset are reported. An improved method for the electron neutrino energy estimation is exploited. Data are compatible with the 3 neutrino flavour mixing model expectations and are used to set limits on the oscillation parameters of the 3+1 neutrino mixing model, in which an additional mass eigenstate \(m_{4}\) is introduced. At high \(\Delta m^{2}_{41}\) \(( \gtrsim 0.1~\textrm{eV}^{2})\), an upper limit on \(\sin^2 2\theta_{\mu e}\) is set to 0.021 at 90% C.L. and \(\Delta m^2_{41} \gtrsim 4 \times 10^{-3}~\textrm{eV}^{2}\) is excluded for maximal mixing in appearance mode.

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          A Unified Approach to the Classical Statistical Analysis of Small Signals

          We give a classical confidence belt construction which unifies the treatment of upper confidence limits for null results and two-sided confidence intervals for non-null results. The unified treatment solves a problem (apparently not previously recognized) that the choice of upper limit or two-sided intervals leads to intervals which are not confidence intervals if the choice is based on the data. We apply the construction to two related problems which have recently been a battle-ground between classical and Bayesian statistics: Poisson processes with background, and Gaussian errors with a bounded physical region. In contrast with the usual classical construction for upper limits, our construction avoids unphysical confidence intervals. In contrast with some popular Bayesian intervals, our intervals eliminate conservatism (frequentist coverage greater than the stated confidence) in the Gaussian case and reduce it to a level dictated by discreteness in the Poisson case. We generalize the method in order to apply it to analysis of experiments searching for neutrino oscillations. We show that this technique both gives correct coverage and is powerful, while other classical techniques that have been used by neutrino oscillation search experiments fail one or both of these criteria.
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            Author and article information

            Journal
            30 March 2018
            Article
            1803.11400
            4fd20505-6eed-4751-933f-e67fdb134345

            http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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            Editors: M. Tenti and S. Vasina
            hep-ex physics.ins-det

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