We present a first search for dark-trident scattering in a neutrino beam using a dataset corresponding to protons on target taken with the MicroBooNE detector at Fermilab. Proton interactions in the neutrino target at the main injector produce and mesons, which could decay into dark-matter (DM) particles mediated via a dark photon . A convolutional neural network is trained to identify interactions of the DM particles in the liquid-argon time projection chamber (LArTPC) exploiting its imagelike reconstruction capability. In the absence of a DM signal, we provide limits at the 90% confidence level on the squared kinematic mixing parameter as a function of the dark-photon mass in the range . The limits cover previously unconstrained parameter space for the production of fermion or scalar DM particles for two benchmark models with mass ratios and 2 and for dark fine-structure constants . Published by the American Physical Society2024
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This content will become publicly available on April 1, 2027
Search for the production of Higgs-portal scalar bosons in the NuMI beam using the MicroBooNE detector
We present the strongest experimental limits to date on the mixing angle, , with which a new scalar particle, , mixes with the Higgs field in the mass range . This result uses the MicroBooNE liquid argon time projection chamber to search for decays of these Higgs-portal scalar particles through the channel with the decays of kaons in the NuMI neutrino beam acting as the source of the scalar particles. The analysis uses an exposure of protons on target of NuMI beam data including periods when the beam focusing system was configured to focus positively charged hadrons and separate periods when negatively charged hadrons were focused. The analysis searches for scalar particles produced from kaons decaying in flight in the beam’s decay volume and at rest in the target and absorber. At ( ) we set a limit of ( ) at the 95% confidence level.
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- Award ID(s):
- 2207171
- PAR ID:
- 10701424
- Author(s) / Creator(s):
- ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »
- Publisher / Repository:
- PRD
- Date Published:
- Journal Name:
- Physical Review D
- Volume:
- 113
- Issue:
- 7
- ISSN:
- 2470-0010
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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