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Data Release for A.A. Aguilar-Arevalo et al., "A Search for muon neutrino and antineutrino disappearance in MiniBooNE", arXiv:0903.2465 [hep-ex], Phys. Rev. Lett. 103, 061802 (2009)


The following MiniBooNE information from the 2009 numu and numubar disappearance paper is made available to the public:

(Dm2 (eV2), sin2(2th)sens, 90% CL)
where sin2(2th)max and sin2(2th)sens indicate the sensitivity, and 90% confidence level corresponding to those numbers.
  • ntuple file  of MiniBooNE sin2(2theta) data limit as a function of Dm2, for a 2-neutrino muon-to-electron antineutrino oscillation fit, and 90% confidence levels. The file contains 83 rows, one for each Dm2 value in the range 0.4 < Dm2 (eV2) < 102, and 2 columns per row with the following format: 
(Dm2 (eV2), sin2(2th)max, 90% CL)
where sin2(2th)max and sin2(2th)sens indicate the upper limit and 90% confidence level corresponding to those numbers.
  • ntuple file of MiniBooNE 2-dimensional chi2 surface as a function of ( Dm2, sin2(2theta) ) in the range ( 10-1 < Dm2 (eV2) < 102, ·10-2 < sin2(2theta) < 1 ). The file contains 14,400 rows, one for each ( Dm2, sin2(2theta) ) pair of values, and 3 columns per row with the following format:
  • (Dm2 (eV2),  sin2(2th), chi2)
    Note: the value quoted in the third column is the total, and not the reduced, chi2 value (ie, it has not been divided by the number of degrees of freedom)
    • 1D array of bin boundaries in neutrino (and antineutrino) reconstructed neutrino energy
    • 1D array of observed muon neutrino charged-current quasi-elastic (CCQE) candidate events per reconstructed neutrino energy bin
    • 2D array of fractional, shape-only, covariance matrix per reconstructed neutrino energy bin, including all systematic uncertainties, but no statistical uncertainty for the predicted muon neutrino CCQE events 
    • ntuple file of 1,267,007 muon neutrino CCQE candidate events, with event number, reconstructed neutrino energy, true neutrino energy, neutrino baseline, and event weight for each event provided. Overall normalization is provided by scaling to total data events.

    Contact Information

    • For clarifications on how to use MiniBooNE public data or for enquiries about additional data not linked from this page, please contact: Steve Brice or Richard Van de Water

    Acknowledgments

    • If you are using data linked from this page, please reference the following papers:
    A. A. Aguilar-Arevalo et al. [MiniBooNE Collaboration], "A Search for muon neutrino and antineutrino disappearance in MiniBooNE" Phys. Rev. Lett. 103, 061802 (2009)