Dark matter search in nucleon, pion, and electron channels from a proton beam dump with MiniBooNE

By Atlas Collaboration. Physical Review D, 2018

145 citations recorded by the source corpus.

A search for sub-GeV dark matter produced from collisions of the Fermilab 8 GeV Booster protons with a steel beam dump was performed by the MiniBooNE-DM Collaboration using data from 1.86×1020 protons on target in a dedicated run. The MiniBooNE detector, consisting of 818 tons of mineral oil and located 490 meters downstream of the beam dump, is sensitive to a variety of dark matter initiated scattering reactions. Three dark matter interactions are considered for this analysis: elastic scattering off nucleons, inelastic neutral pion production, and elastic scattering off electrons. Multiple data sets were used to constrain flux and systematic errors, and time-of-flight information was employed to increase sensitivity to higher dark matter masses. No excess from the background predictions was observed, and 90% confidence level limits were set on the vector portal and leptophobic dark matter models. New parameter space is excluded in the vector portal dark matter model with a dark matter mass between 5 and 50  MeV c-2. The reduced neutrino flux allowed to test if the MiniBooNE neutrino excess scales with the production of neutrinos. No excess of neutrino oscillation events were measured ruling out models that scale solely by number of protons on target independent of beam configuration at 4.6σ.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/3fe9b3f0850f9fcd3ef9d2e0eb3694559ae1c4a9

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In Nuclear and High Energy Physics

1. Y. Farzan
2. M. Tórtola
3. T. Han
4. C. Ternes
5. P. S. Bhupal Dev
6. F. Krennrich
7. O. Mena
8. Jordi Salvado

Citations in the corpus

• Neutrino non-standard interactions: A status report (2019, background): “Finally, we do not expect any significant constraints from the MiniBooNE beam dump run [211] due to low statistics.”
• Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics (2020, methodology): “From our estimates, we see that DUNE can significantly improve the constraints from LSND [462] and the MiniBooNE-DM search [50], as well as BaBar [463] ifMV .”