Measurement of Muon Neutrino Quasielastic Scattering on Carbon

Aguilar-Arevalo, A. A.; Bazarko, A. O.; Brice, S. J.; Brown, Bruce; Bugel, L.; Cao, Junpeng; Coney, L.; Conrad, J. M.; Cox, D. C.; Curioni, A.; Djurcic, Z.; Finley, D. A.; Fleming, B. T.; Ford, R.; García, F.; Garvey, G. T.; Green, C.; Green, J. A.; Hart, T.; Hawker, E.; Imlay, R.; Johnson, R. A.; Kasper, P. A.; Katori, T.; Kobilarcik, T.; Kourbanis, I.; Koutsoliotas, S.; Laird, E.; Link, J. M.; Liu, Y.; Louis, W. C.; Mahn, Kendall; Marsh, W.; Martin, P.S.; McGregor, G.; Metcalf, W.; Meyers, P. D.; Mills, F.; Mills, G. B.; Monroe, J.; Moore, C. D.; Nelson, Robert H.; Nienaber, P.; Ouedraogo, S.; Patterson, R. B.; Perevalov, D.; Polly, C. C.; Prebys, E.; Raaf, J. L.; Ray, H.; Roe, B. P.; Russell, A. D.; Sandberg, V.; Schirato, R.; Schmitz, D.; Shaevitz, M. H.; Shoemaker, F. C.; Smith, D.; Sorel, M.; Spentzouris, P.; Stancu, I.; Stefanski, R. J.; Sung, M.; Tanaka, Hirohisa; Tayloe, R.; Tzanov, M.; Water, R. G. Van de; Wascko, M. O.; White, D. H.; Wilking, M. J.; Yang, H. J.; Zeller, G. P.; Zimmerman, E. D.

doi:10.1103/physrevlett.100.032301

Cited by 184 publications

(188 citation statements)

References 28 publications

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“…This is somewhat in contrast with values reported by K2K [26] of m A = 1.20 ± 0.12 GeV and MiniBooNE [27] of m A = 1.23 ± 0.20 GeV. One possible explanation, put forth in [27], is that the old data was mainly obtained on Deuterium, where nuclear effects are very small, whereas the new data used Oxygen (K2K) or Carbon (MiniBooNE). This in turn would indicate that there are nuclear effects which are not properly included in the Smith-Moniz formalism and thus the value of m A determined from nuclei is in reality an effective parameter.…”

Section: Jhep03(2008)021contrasting

confidence: 53%

“…Until recently the consensus value for the axial mass was m A = 1.025 ± 0.021 GeV [25]. This is somewhat in contrast with values reported by K2K [26] of m A = 1.20 ± 0.12 GeV and MiniBooNE [27] of m A = 1.23 ± 0.20 GeV. One possible explanation, put forth in [27], is that the old data was mainly obtained on Deuterium, where nuclear effects are very small, whereas the new data used Oxygen (K2K) or Carbon (MiniBooNE).…”

Section: Jhep03(2008)021contrasting

confidence: 53%

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On the impact of systematical uncertainties for the CP violation measurement in superbeam experiments

Huber¹,

Mezzetto²,

Schwetz³

2008

J. High Energy Phys.

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Superbeam experiments can, in principle, achieve impressive sensitivities for CP violation in neutrino oscillations for large θ 13 . We study how those sensitivities depend on assumptions about systematical uncertainties. We focus on the second phase of T2K, the so-called T2HK experiment, and we explicitly include a near detector in the analysis. Our main result is that even an idealised near detector cannot remove the dependence on systematical uncertainties completely. Thus additional information is required. We identify certain combinations of uncertainties, which are the key to improve the sensitivity to CP violation, for example the ratio of electron to muon neutrino cross sections and efficiencies. For uncertainties on this ratio larger than 2%, T2HK is systematics dominated. We briefly discuss how our results apply to a possible two far detector configuration, called T2KK. We do not find a significant advantage with respect to the reduction of systematical errors for the measurement of CP violation for this setup.

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Section: Jhep03(2008)021contrasting

confidence: 53%

Section: Jhep03(2008)021contrasting

confidence: 53%

On the impact of systematical uncertainties for the CP violation measurement in superbeam experiments

Huber¹,

Mezzetto²,

Schwetz³

2008

J. High Energy Phys.

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“…(1.5) M A denotes the axial mass. Notice that recent studies [19,20] suggest M A value larger by about 20% with respect to the old measurements [21][22][23]. The impact of the electromagnetic form-factors on the axial mass extraction is small, but it can play a role in the future, when more precise measurements of the neutrino-nucleon cross-sections will be performed.…”

Section: Jhep09(2010)053mentioning

confidence: 99%

“…At the end of the training procedure one can approximate (3.10) as follows: 20) where in the Hessian approximation σ ln α ≈ 2/γ.…”

Section: Jhep09(2010)053mentioning

confidence: 99%

Neural network parameterizations of electromagnetic nucleon form-factors

Graczyk

Płoński

Sulej

2010

J. High Energ. Phys.

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Abstract:The electromagnetic nucleon form-factors data are studied with artificial feed forward neural networks. As a result the unbiased model-independent form-factor parametrizations are evaluated together with uncertainties. The Bayesian approach for the neural networks is adapted for χ 2 error-like function and applied to the data analysis. The sequence of the feed forward neural networks with one hidden layer of units is considered. The given neural network represents a particular form-factor parametrization. The so-called evidence (the measure of how much the data favor given statistical model) is computed with the Bayesian framework and it is used to determine the best form factor parametrization.

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“…To model scattering off bound nucleons, NUANCE uses the Smith-Moniz relativistic Fermi gas (RFG) model [118]. The model assumes a flat nucleon momentum distribution out to some maximum value, the Fermi momentum, p F (p F = 220 MeV/c for carbon [67]) with a binding energy E B = 34 MeV. In the RFG model, "Pauli-blocking" causes a suppression in the cross-section for low values of the momentum transfer, Q 2 .…”

Section: The Charged-current Quasi-elastic Scattering Modelmentioning

confidence: 99%

A measurement of hadron production cross sections for the simulation of accelerator neutrino beams and a search for muon-neutrino to electron-neutrino oscillations in the Δm<sup>2</sup> about equals 1-eV<sup>2</sup> region

Schmitz

2008

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First, charged pion and proton production is measured at the HARP experiment for two experimental configurations relevant to two contemporary accelerator-based neutrino beams. Double-differential cross-sections for π + , π − and proton production are presented for proton+beryllium collisions at 8.9 GeV/c and proton+aluminum collisions at 12.9 GeV/c. These data have been used in the predictions of neutrino fluxes by the K2K experiment in Japan and the MiniBooNE and SciBooNE experiments at Fermilab.Second, a search for evidence of muon neutrino to electron neutrino oscillations at MiniBooNE is presented. MiniBooNE was designed to search for evidence of ν µ → ν e oscillations consistent with a mass-squared splitting near 1 eV 2 . Evidence of such an oscillation was reported by the LSND collaboration in the 1990s but has not been confirmed by other experiments. A method which combines the electron neutrino candidate sample with the high statistics muon neutrino candidate sample to define a single χ 2 statistic is developed. A complete description of experimental uncertainties is contained within a correlated error matrix which includes correlations between the two samples. This correlation reduces the uncertainty on the prediction of the smaller statistics electron sample and improves MiniBooNE's sensitivity to oscillations. Analysis of the MiniBooNE electron candidate data reveals no evidence of direct ν µ → ν e oscillations consistent with this interpretation of the LSND data.

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Measurement of Muon Neutrino Quasielastic Scattering on Carbon

Cited by 184 publications

References 28 publications

On the impact of systematical uncertainties for the CP violation measurement in superbeam experiments

On the impact of systematical uncertainties for the CP violation measurement in superbeam experiments

Neural network parameterizations of electromagnetic nucleon form-factors

A measurement of hadron production cross sections for the simulation of accelerator neutrino beams and a search for muon-neutrino to electron-neutrino oscillations in the Δm<sup>2</sup> about equals 1-eV<sup>2</sup> region

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