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Data Release for A.A. Aguilar-Arevalo et al., "A Combined $\nu_\mu \rightarrow \nu_e$ and $\bar\nu_\mu \rightarrow \bar \nu_e$ Oscillation Analysis of the MiniBooNE Excesses", arXiv:1207.4809


The following MiniBooNE information from the 2012 nue & nuebar appearance paper is made available to the public:

  • Antineutrino mode fit in 200 MeV - 3000 MeV reconstructed neutrino energy range
  • 90% sensitivity contour, 1 sigma limit contour, 90% limit contour and 99% limit contour. Sensitivity and limit curves for a 2-neutrino muon-to-electron antineutrino oscillation fit. Only anti-neutrinos were assumed to oscillate. Frequentist studies were performed to determine the proper coverage. Each file contains a set of (sin2(2theta), Dm2 ) points on a given contour.
  • ntuple file of MiniBooNE 2-dimensional likelihood surface as a function of ( Dm2, sin2(2theta) ) in the range ( 10-2< Dm2 (eV2 < 102, 3·10-4 < sin2(2theta) < 1 ). The file contains 36,100 rows, one for each ( Dm2, sin2(2theta) ) pair of values, and 3 columns per row with the following format:
    (Dm2 (eV2),  sin2(2th), -2ln(L))
  • ntuple file of MiniBooNE 2-dimensional effective chi2 surface (for 2 degrees of freedom) reproducing the contours corrected with frequentist studies given above. The effective chi2 is calculated using the likelihood surface above and frequentist studies at a given (sin2(2theta), Dm2) point. An approximation was used for points where frequentist studies were not performed. In particular, frequentist studies were not performed at all of the points outside of 99% limit contour. The file contains 36,100 rows, one for each ( Dm2, sin2(2theta) ) pair of values, and 3 columns per row with the following format:
  • (Dm2 (eV2),  sin2(2th), chi2)
  • Antineutrino mode fit in 475 MeV - 3000 MeV reconstructed neutrino energy range
  • 90% sensitivity contour, 1 sigma limit contour, 90% limit contour and 99% limit contour. Sensitivity and limit curves for a 2-neutrino muon-to-electron antineutrino oscillation fit. Only anti-neutrinos were assumed to oscillate. Frequentist studies were performed to determine the proper coverage. Each file contains a set of (sin2(2theta), Dm2 ) points on a given contour.
  • ntuple file of MiniBooNE 2-dimensional likelihood surface as a function of ( Dm2, sin2(2theta) ) in the range ( 10-2< Dm2 (eV2 < 102, 3·10-4 < sin2(2theta) < 1 ). The file contains 36,100 rows, one for each ( Dm2, sin2(2theta) ) pair of values, and 3 columns per row with the following format:
    (Dm2 (eV2),  sin2(2th), -2ln(L))
  • ntuple file of MiniBooNE 2-dimensional effective chi2 surface (for 2 degrees of freedom) reproducing the contours corrected with frequentist studies given above. The effective chi2 is calculated using the likelihood surface above and frequentist studies at a given (sin2(2theta), Dm2) point. An approximation was used for points where frequentist studies were not performed. In particular, frequentist studies were not performed at all of the points outside of 99% limit contour. The file contains 36,100 rows, one for each ( Dm2, sin2(2theta) ) pair of values, and 3 columns per row with the following format:
  • (Dm2 (eV2),  sin2(2th), chi2)

Contact Information


Acknowledgments

A. A. Aguilar-Arevalo et al. [MiniBooNE Collaboration], "A Combined $\nu_\mu \rightarrow \nu_e$ and $\bar\nu_\mu \rightarrow \bar \nu_e$ Oscillation Analysis of the MiniBooNE Excesses"