The following SciBooNE and MiniBooNE information from the 2012 joint search for muon neutrino disappearance is made available to the public:

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### Acknowledgments

^{2} < Δm^{2} < 40 eV^{2}"

- Simultaneous fit analysis
- ntuple file of 90% confidence level sensitivity as a function of Δm
^{2}for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 100 rows, one for each Δm^{2}value in the range 0.1 < Δm^{2}(eV^{2}) < 10^{2}, and 2 columns per row with the following format:

(Δmwhere sin^{2}(eV^{2}), sin^{2}(2θ)_{sens, 90% CL})

^{2}(2θ)_{sens}indicate the expected 90% confidence level upper limit with null oscillation corresponding to those numbers.

- ntuple file of 90% confidence level sensitivity as a function of Δm
^{2}for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 100 rows, one for each Δm^{2}value in the range 0.1 < Δm^{2}(eV^{2}) < 10^{2}, and 3 columns per row with the following format:

(Δmwhere sin^{2}(eV^{2}), sin^{2}(2θ)_{sens, 90% CL, -1σ}, sin^{2}(2θ)_{sens, 90% CL, +1σ})

^{2}(2θ)_{sens, 90% CL, +(-)1σ}indicate +(-)1 σ band for the expected 90% confidence level upper limit with null oscillation corresponding to those numbers.

- ntuple file of 90% confidence level observed limit as a function of Δm
^{2}for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 100 rows, one for each Δm^{2}value in the range 0.1 < Δm^{2}(eV^{2}) < 10^{2}, and 2 columns per row with the following format:

(Δmwhere sin^{2}(eV^{2}), sin^{2}(2θ)_{obs, 90% CL})

^{2}(2θ)_{obs, 90% CL}indicate the observed 90% confidence level upper limit corresponding to those numbers.

- ntuple file of the observed χ
^{2}values as a function of (Δm^{2}, sin^{2}(2θ)) in the range (0.1 < Δm^{2}(eV^{2}) < 10^{2}, 10^{-2}< sin^{2}(2θ) < 1) for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 10000 rows, one for each (Δm^{2}, sin^{2}(2θ)) pair of values, and 3 columns per row with the following format:

(Δm^{2}(eV^{2}), sin^{2}(2θ), χ^{2})

- ntuple file of the expected Δχ
^{2}(= χ^{2}- χ^{2}_{best}) values that are needed to allow or exclude oscillation hypothesis at 90% confidence level as a function of (Δm^{2}, sin^{2}(2θ)) in the range (0.1 < Δm^{2}(eV^{2}) < 10^{2}, 10^{-2}< sin^{2}(2θ) < 1) for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 10000 rows, one for each (Δm^{2}, sin^{2}(2θ)) pair of values, and 3 columns per row with the following format:

(Δm^{2}(eV^{2}), sin^{2}(2θ), Δχ^{2}_{90% CL})

- 1D arrays of bin boundaries for true neutrino energy in units of GeV for SciBooNE samples and MiniBooNE samples.
- 1D arrays of observed muon neutrino candidate events per reconstructed neutrino energy bin for SciBooNE SciBar-stopped sample, SciBooNE MRD-stopped sample, MiniBooNE Run I sample and MiniBooNE Run II sample. Note that SciBooNE samples have fractional number of events since expected number of cosmic backgrounds are subtracted.
- 2D arrays of estimated cosmic-ray backgrounds and its uncertainties for SciBooNE SciBar-stopped and SciBooNE MRD-stopped. The first and the second column correspond to the background signal and its uncertainties for each of the 16 energy bins.
- ntuple files of the expected number of muon neutrino candidate events per reconstructed neutrino energy bin for
SciBooNE SciBar-stopped sample,
SciBooNE MRD-stopped sample and
MiniBooNE sample (Run I),
as a function of (Δm
^{2}, sin^{2}(2θ)) in the range (0.1 < Δm^{2}(eV^{2}) < 10^{2}, 10^{-2}< sin^{2}(2θ) < 1) for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The files contains 10000 rows, one for each (Δm^{2}, sin^{2}(2θ)) pair of values, and 18 columns per row with the following format:

(Δmwhere N^{2}(eV^{2}), sin^{2}(2θ), N_{1}… N_{16})

_{i}is the number of events in i-th energy bin. - MC event lists of muon neutrino candidate events per reconstructed neutrino energy bin for
SciBooNE SciBar-stopped sample,
SciBooNE MRD-stopped sample and
MiniBooNE sample.
The first column is the neutrino type (ν
_{μ}=14; ν_{μ}=-14;ν_{e}=12; ν_{e}=-12). The second column is the true neutrino energy (in GeV). The third column is the reconstructed neutrino energy (in GeV). The fourth column is the neutrino path length (in kilo meters). The fifth column is the MC weight of the neutrino event. For SciBooNE samples, simulated external backgrounds (EC/MRD/Dirt) are also included.) The list for MiniBooNE has to be scaled by the factor 5.579/(5.485*7.5). - 2D array of fractional, covariance matrix per reconstructed neutrino energy bin, including all systematic uncertainties, but neither Monte Carlo nor cosmic background errors and no statistical uncertainty for the predicted muon neutrino candidate events. The matrix has the dimension of 48 x 48; bins 1-16, 17-32 and 33-48 corresponds to SciBooNE SciBar-stopped, SciBooNE MRD-stopped and MiniBooNE samples, respectively.
- Spectrum fit analysis
- ntuple file of 90% confidence level sensitivity as a function of Δm
^{2}for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 300 rows, one for each Δm^{2}value in the range 0.1 < Δm^{2}(eV^{2}) < 10^{2}, and 2 columns per row with the following format:

(Δmwhere sin^{2}(eV^{2}), sin^{2}(2θ)_{sens, 90% CL})

^{2}(2θ)_{sens}indicate the expected 90% confidence level upper limit with null oscillation corresponding to those numbers.

- ntuple file of 90% confidence level sensitivity as a function of Δm
^{2}for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 300 rows, one for each Δm^{2}value in the range 0.1 < Δm^{2}(eV^{2}) < 10^{2}, and 3 columns per row with the following format:

(Δmwhere sin^{2}(eV^{2}), sin^{2}(2θ)_{sens, 90% CL, -1σ}, sin^{2}(2θ)_{sens, 90% CL, +1σ})

^{2}(2θ)_{sens, 90% CL, +(-)1σ}indicate +(-)1 σ band for the expected 90% confidence level upper limit with null oscillation corresponding to those numbers.

- ntuple file of 90% confidence level observed limit as a function of Δm
^{2}for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 300 rows, one for each Δm^{2}value in the range 0.1 < Δm^{2}(eV^{2}) < 10^{2}, and 2 columns per row with the following format:

(Δmwhere sin^{2}(eV^{2}), sin^{2}(2θ)_{obs, 90% CL})

^{2}(2θ)_{obs, 90% CL}indicate the observed 90% confidence level upper limit corresponding to those numbers.

- ntuple file of the observed χ
^{2}values as a function of (Δm^{2}, sin^{2}(2θ)) in the range (0.1 < Δm^{2}(eV^{2}) < 10^{2}, 10^{-2}< sin^{2}(2θ) < 1) for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 30000 rows, one for each (Δm^{2}, sin^{2}(2θ)) pair of values, and 3 columns per row with the following format:

(Δm^{2}(eV^{2}), sin^{2}(2θ), χ^{2})

- ntuple file of the expected Δχ
^{2}(= χ^{2}- χ^{2}_{best}) values that are needed to allow or exclude oscillation hypothesis at 90% confidence level as a function of (Δm^{2}, sin^{2}(2θ)) in the range (0.1 < Δm^{2}(eV^{2}) < 10^{2}, 10^{-2}< sin^{2}(2θ) < 1) for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 30000 rows, one for each (Δm^{2}, sin^{2}(2θ)) pair of values, and 3 columns per row with the following format:

(Δm^{2}(eV^{2}), sin^{2}(2θ), Δχ^{2}_{90% CL})

- 1D array of bin boundaries for true neutrino energy in units of GeV for MiniBooNE sample.
- 1D arrays of observed muon neutrino candidate events per reconstructed neutrino energy bin for MiniBooNE Run I sample and MiniBooNE Run II sample.
- ntuple file of the expected number of muon neutrino candidate events per reconstructed neutrino energy bin for
MiniBooNE sample (Run I),
as a function of (Δm
^{2}, sin^{2}(2θ)) in the range (0.1 < Δm^{2}(eV^{2}) < 10^{2}, 10^{-2}< sin^{2}(2θ) < 1) for a 2-neutrino ν_{μ}→ ν_{x}oscillation fit. The file contains 30000 rows, one for each (Δm^{2}, sin^{2}(2θ)) pair of values, and 18 columns per row with the following format:

(Δmwhere N^{2}(eV^{2}), sin^{2}(2θ), N_{1}… N_{16})

_{i}is the number of events in i-th energy bin. Note that this prediction is based the spectrum measurement at SciBooNE and oscillation effect at SciBooNE detector is also taken into account. - 2D array of fractional, covariance matrix per reconstructed neutrino energy bin at MiniBooNE, including all systematic uncertainties, but no statistical uncertainty for the predicted muon neutrino candidate events. The matrix has the dimension of 16 x 16.

- For clarifications on how to use SciBooNE public data or for enquiries about additional data not linked from this page, please contact: Yasuhiro Nakajima and Kendall Mahn
- Modified and updated on 03/02/2016 by Diana Patricia Mendez. If you used data linked from this page before that date, please refer to appendix A in the following thesis for more information about how to apply the aditional data: Búsqueda de Desaparición de Neutrinos del Muón en el Haz de Neutrinos del Booster de Fermilab

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

- The SciBooNE and MiniBooNE collaborations wish to acknowledge the support of MEXT, JSPS (Japan), the INFN (Italy), the Ministry of Science and Innovation and CSIC (Spain), the STFC (UK), the U.S. Department of Energy, the U.S. National Science Foundation and Fermilab for the construction, operation, beam delivery, and data analysis of the SciBooNE and the MiniBooNE experiments.