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Event Excess in the MiniBooNE Search for $\bar ν_μ\rightarrow \bar ν_e$ Oscillations

The MiniBooNE Collaboration

TL;DR

The MiniBooNE experiment at Fermilab reports results from a search for ¯ν_{μ}→¯ν_{e} oscillations, using a data sample corresponding to 5.66×10²⁰ protons on target, consistent with antineutrino oscillations in the 0.1 to 1.0  eV² Δm² range.

Abstract

The MiniBooNE experiment at Fermilab reports results from a search for $\bar ν_μ\rightarrow \bar ν_e$ oscillations, using a data sample corresponding to $5.66 \times 10^{20}$ protons on target. An excess of $20.9 \pm 14.0$ events is observed in the energy range $475<E_ν^{QE}<1250$ MeV, which, when constrained by the observed $\bar ν_μ$ events, has a probability for consistency with the background-only hypothesis of 0.5\%. On the other hand, fitting for $\barν_μ\rightarrow\barν_e$ oscillations, the best-fit point has a $χ^2$-probability of 8.7\%. The data are consistent with $\bar ν_μ\rightarrow \bar ν_e$ oscillations in the 0.1 to 1.0 eV$^2$ $Δm^2$ range and with the evidence for antineutrino oscillations from the Liquid Scintillator Neutrino Detector at Los Alamos National Laboratory.

Event Excess in the MiniBooNE Search for $\bar ν_μ\rightarrow \bar ν_e$ Oscillations

TL;DR

The MiniBooNE experiment at Fermilab reports results from a search for ¯ν_{μ}→¯ν_{e} oscillations, using a data sample corresponding to 5.66×10²⁰ protons on target, consistent with antineutrino oscillations in the 0.1 to 1.0  eV² Δm² range.

Abstract

The MiniBooNE experiment at Fermilab reports results from a search for oscillations, using a data sample corresponding to protons on target. An excess of events is observed in the energy range MeV, which, when constrained by the observed events, has a probability for consistency with the background-only hypothesis of 0.5\%. On the other hand, fitting for oscillations, the best-fit point has a -probability of 8.7\%. The data are consistent with oscillations in the 0.1 to 1.0 eV range and with the evidence for antineutrino oscillations from the Liquid Scintillator Neutrino Detector at Los Alamos National Laboratory.

Paper Structure

This paper contains 5 figures, 2 tables.

Figures (5)

  • Figure 1: Top: The $E_\nu^{QE}$ distribution for $\bar{\nu}_e$ CCQE data (points with statistical errors) and background (histogram with systematic errors). Bottom: The event excess as a function of $E_\nu^{QE}$. Also shown are the expectations from the best oscillation fit with $E_\nu^{QE}>475$ MeV, $(\Delta m^2, \sin^2 2 \theta)$ = (0.064 eV$^2$, 0.96), where the fit is extrapolated below 475 MeV, and from two other oscillation parameter sets in the allowed region. No correction has been made for the low-energy excess of events seen in neutrino mode below 475 MeV. All known systematic errors are included in the systematic error estimate.
  • Figure 2: The $E_{vis}$ (top panel) and $\cos(\theta)$ (bottom panel) distributions for data (points with statistical errors) and backgrounds (histogram with systematic errors) for $E_\nu^{QE} > 200$ MeV.
  • Figure 3: MiniBooNE 68%, 90%, and 99% C.L. allowed regions for events with $E^{QE}_{\nu} > 475$ MeV within a two neutrino $\bar{\nu}_{\mu}\rightarrow\bar{\nu}_e$ oscillation model. Also shown are limits from KARMEN karmen and Bugey bugey. The Bugey curve is a 1-sided limit for $\sin^2 2\theta$ corresponding to $\Delta\chi^2 = 1.64$, while the KARMEN curve is a "unified approach" 2D contour. The shaded areas show the 90% and 99% C.L. LSND allowed regions. The black dot shows the best fit point.
  • Figure 4: MiniBooNE 90% and 99% C.L. allowed regions for events with $E^{QE}_{\nu} > 200$ MeV within a two neutrino $\bar{\nu}_{\mu}\rightarrow\bar{\nu}_e$ oscillation model. The solid (dashed) curves are without (with) the subtraction of the expected 12 event excess in the $200<E_\nu^{QE}<475$ MeV low-energy region from the neutrino component of the beam. Also shown are limits from KARMEN karmen and Bugey bugey. The shaded areas show the 90% and 99% C.L. LSND allowed regions. The black dots show the best fit points.
  • Figure 5: The oscillation probability as a function of $L/E_\nu^{QE}$ for $\bar{\nu}_\mu \rightarrow \bar{\nu}_e$ candidate events from MiniBooNE and LSND. The data points include both statistical and systematic errors.