The following MiniBooNE information from the first oscillation paper in 2007 is made available to the public:

### Instructions

Instructions on how to use this information can be found here. A FORTRAN program implementing these instructions to perform an example oscillation fit can be found here (note: you will need CERNLIB libraries, including LAPACK libraries, to build this program).

### Contact Information

### Acknowledgments

^{2}~1 eV^{2} Scale," Phys. Rev. Lett. 98, 231801 (2007)

- Energy Range for Default Oscillation Fit (475 MeV - 3000 MeV reconstructed neutrino energy)

- ntuple file of official MiniBooNE sin
^{2}(2theta) sensitivity and upper limit curves as a function of Dm^{2}, for a 2-neutrino muon-to-electron oscillation fit, and 90% and 3sigma confidence levels. The file contains 100 rows, one for each Dm^{2}value in the range 10^{-2}< Dm^{2}(eV^{2}) < 10^{2}, and 5 columns per row with the following format:

(Dm^{2} (eV^{2}), sin^{2}(2th)_{max, 90% CL}, sin^{2}(2th)_{max, 3sigma CL}, sin^{2}(2th)_{sens, 90% CL}, sin^{2}(2th)_{sens, 3sigma CL})

where sin^{2}(2th)_{max} and sin^{2}(2th)_{sens }indicate
the upper limit and sensitivity, respectively, and 90% and 3sigma CL
indicate the confidence levels corresponding to those numbers.

where sin

- ntuple file of official MiniBooNE 2-dimensional chi2 surface as a function of ( Dm
^{2}, sin^{2}(2theta) ) in the range ( 10^{-2}< Dm^{2}(eV^{2}) < 10^{2}, 3·10^{-4 }< sin^{2}(2theta) < 1 ). The file contains 20,000 rows, one for each ( Dm^{2}, sin^{2}(2theta) ) pair of values, and 3 columns per row with the following format:

(Dm^{2} (eV^{2}), sin^{2}(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)

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 electron neutrino reconstructed neutrino energy
- 1D array of observed electron neutrino candidate events per reconstructed neutrino energy bin
- 1D array of predicted background electron neutrino candidate events per reconstructed neutrino energy bin
- 2D array of (systematic + statistical uncertainty) predicted background fractional covariance matrix per reconstructed neutrino energy bins
- ntuple file of 9,934 predicted muon-to-electron full transmutation events, containing information on reconstructed neutrino energy, true neutrino energy, neutrino baseline, and event weight for each event
- 2D array of (systematic uncertainty only) predicted muon-to-electron full transmutation fractional covariance matrix per reconstructed neutrino energy bins

- Low Energy Threshold Range (300 MeV - 3000 MeV reconstructed neutrino energy)

- 1D array of bin boundaries in electron neutrino reconstructed neutrino energy
- 1D array of observed electron neutrino candidate events per reconstructed neutrino energy bin
- 1D array of predicted background electron neutrino candidate events per reconstructed neutrino energy bin
- 2D array of (systematic + statistical uncertainty) predicted background fractional covariance matrix per reconstructed neutrino energy bins
- ntuple file of 9934 predicted muon-to-electron full transmutation events, containing information on reconstructed neutrino energy, true neutrino energy, neutrino baseline, and event weight for each event (same file as one for default energy range)
- 2D array of (systematic uncertainty only) predicted muon-to-electron full transmutation fractional covariance matrix per reconstructed neutrino energy bins

- 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

- If you are using data linked from this page, please reference the following paper:

- The MiniBooNE collaboration wishes to acknowledge the support of Fermilab, the U.S. Department of Energy, and the U.S. National Science Foundation in the construction, operation, beam delivery, and data analysis of the MiniBooNE experiment