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

### Contact Information

### Acknowledgments

- Neutrino 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 neutrino and antineutrino oscillation fit. Frequentist studies were performed to determine the proper coverage. Each file contains a set of (sin
^{2}(2theta), Dm^{2}) points on a given contour. - ntuple file of MiniBooNE 2-dimensional likelihood 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 36,100 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), -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 (sin
^{2}(2theta), Dm^{2}) 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 ( 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)

- 1D array of bin boundaries in electron (anti)neutrino reconstructed neutrino energy
- Neutrino mode
- 1D array of observed electron neutrino candidate events per reconstructed neutrino energy bin
- 1D array of observed muon neutrino charged-current quasi-elastic (CCQE) candidate events as a function of reconstructed neutrino energy (note: not the same bin boundaries as electron neutrino candidate events)
- 1D array of predicted background electron neutrino candidate events per reconstructed neutrino energy bin
- 1D array of predicted muon neutrino CCQE candidate events per reconstructed neutrino energy bin
- muon-to-electron neutrino full transmutation ntuple file of 17,204 predicted muon-to-electron neutrino and antineutrino full transmutation events, containing information on reconstructed neutrino energy, true neutrino energy, neutrino baseline, and event weight for each event
- 2D array of fractional covariance matrix for muon-to-electron neutrino mode full transmutation events, predicted neutrino mode electron neutrino background events, and predicted neutrino mode muon neutrino CCQE events (three side-by-side diagonal blocks) per reconstructed neutrino energy bin, including systematic uncertainties for all three samples, and statistical uncertainty for the predicted neutrino mode electron neutrino background and predicted neutrino mode muon neutrino CCQE events

- Neutrino 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 neutrino and antineutrino oscillation fit. Frequentist studies were performed to determine the proper coverage. Each file contains a set of (sin
^{2}(2theta), Dm^{2}) points on a given contour. - ntuple file of MiniBooNE 2-dimensional likelihood 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 36,100 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), -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 (sin
^{2}(2theta), Dm^{2}) 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 ( 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)

- 1D array of bin boundaries in electron (anti)neutrino reconstructed neutrino energy
- Neutrino mode
- 1D array of observed electron neutrino candidate events per reconstructed neutrino energy bin
- 1D array of observed muon neutrino charged-current quasi-elastic (CCQE) candidate events as a function of reconstructed neutrino energy (note: not the same bin boundaries as electron neutrino candidate events)
- 1D array of predicted background electron neutrino candidate events per reconstructed neutrino energy bin
- 1D array of predicted muon neutrino CCQE candidate events per reconstructed neutrino energy bin
- muon-to-electron neutrino full transmutation ntuple file of 17,204 predicted muon-to-electron neutrino and antineutrino full transmutation events, containing information on reconstructed neutrino energy, true neutrino energy, neutrino baseline, and event weight for each event
- 2D array of fractional covariance matrix for muon-to-electron neutrino mode full transmutation events, predicted neutrino mode electron neutrino background events, and predicted neutrino mode muon neutrino CCQE events (three side-by-side diagonal blocks) per reconstructed neutrino energy bin, including systematic uncertainties for all three samples, and statistical uncertainty for the predicted neutrino mode electron neutrino background and predicted neutrino mode muon neutrino CCQE events

- 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 for the construction, operation, beam delivery, and data analysis of the MiniBooNE experiment