about BooNEabout neutrinosvirtual tourBooNE at workFermilab at workPPD home page

Data Release for A.A. Aguilar-Arevalo et al., "Event Excess in the MiniBooNE Search for $\bar \nu_\mu \rightarrow \bar \nu_e$ Oscillations", arXiv:1007.1150 [hep-ex],Phys.Rev.Lett.105,181801 (2010)


The following MiniBooNE information from the 2010 nuebar appearance paper is made available to the public:

  • 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. 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)
  • 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. 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)

Instructions

Contact Information


Acknowledgments

A. A. Aguilar-Arevalo et al. [MiniBooNE Collaboration], "Event Excess in the MiniBooNE Search for $\bar \nu_\mu \rightarrow \bar \nu_e$ Oscillations" Phys.Rev.Lett.105,181801 (2010)