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

### Instructions

### Contact Information

### Acknowledgments

- Energy Range: 475 MeV - 3000 MeV reconstructed neutrino energy

- 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 (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 antineutrino reconstructed neutrino energy
- 1D array of observed electron antineutrino candidate events per reconstructed neutrino energy bin
- 1D array of observed muon antineutrino charged-current quasi-elastic (CCQE) candidate events as a function of reconstructed neutrino energy (note: not the same bin boundaries as electron antineutrino candidate events)
- 1D array of predicted background electron antineutrino candidate events per reconstructed neutrino energy bin
- 1D array of predicted muon antineutrino CCQE candidate events per reconstructed neutrino energy bin
- muon-to-electron antineutrino full transmutation
- 2D array of fractional covariance matrix for muon-to-electron antineutrino full transmutation events, predicted electron antineutrino background events, and predicted muon antineutrino 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 electron antineutrino background and predicted muon antineutrino CCQE events
- ntuple file of 86,430 predicted muon-to-electron antineutrino full transmutation events, containing information on reconstructed neutrino energy, true neutrino energy, neutrino baseline, and event weight for each event

- muon-to-electron neutrino and antineutrino full transmutation
- 2D array of fractional covariance matrix for muon-to-electron neutrino and antineutrino full transmutation events, predicted electron antineutrino background events, and predicted muon antineutrino 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 electron antineutrino background and predicted muon antineutrino CCQE events
- ntuple file of 117,949 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

- Energy Range: 200 MeV - 3000 MeV reconstructed neutrino energy

- 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 (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 antineutrino reconstructed neutrino energy
- 1D array of observed electron antineutrino candidate events per reconstructed neutrino energy bin
- 1D array of observed muon antineutrino charged-current quasi-elastic (CCQE) candidate events as a function of reconstructed neutrino energy (same file as one for default energy range; note: not the same bin boundaries as electron antineutrino candidate events)
- 1D array of predicted background electron antineutrino candidate events per reconstructed neutrino energy bin
- 1D array of predicted muon antineutrino CCQE candidate events per reconstructed neutrino energy bin
- muon-to-electron antineutrino full transmutation
- 2D array of fractional covariance matrix for muon-to-electron antineutrino full transmutation events, predicted electron antineutrino background events, and predicted muon antineutrino 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 electron antineutrino background and predicted muon antineutrino CCQE events
- ntuple file of 86,430 predicted muon-to-electron antineutrino full transmutation events, containing information on reconstructed neutrino energy, true neutrino energy, neutrino baseline, and event weight for each event

- muon-to-electron neutrino and antineutrino full transmutation
- 2D array of fractional covariance matrix for muon-to-electron neutrino and antineutrino full transmutation events, predicted electron antineutrino background events, and predicted muon antineutrino 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 electron antineutrino background and predicted muon antineutrino CCQE events
- ntuple file of 117,949 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

- Instructions on how to use this information can be found here.
- A FORTRAN program implementing these intructions to perform an example calculation of likelihood on a (sin
^{2}2th, dm^{2}) surface here (note: you will need CERNLIB libraries, including LAPACK libraries, to build this program). - Note: The above program calculates a signal prediction on an event-by-event basis, unlike the fit method employed in the official MiniBooNE oscillation analysis which uses a signal-averaging technique as a function of neutrino energy. The program will therefore yield slightly different (yet consistent) best-fit chi2 and oscillation parameters than those published by the MiniBooNE collaboration.

- 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