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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - First search for dark-trident processes using the MicroBooNE detector
AU - MicroBooNE Collaboration
AU - Abratenko, P.
AU - Alterkait, O.
AU - Aldana, D. Andrade
AU - Arellano, L.
AU - Asaadi, J.
AU - Ashkenazi, A.
AU - Balasubramanian, S.
AU - Baller, B.
AU - Barr, G.
AU - Barrow, D.
AU - Barrow, J.
AU - Basque, V.
AU - Rodrigues, O. Benevides
AU - Berkman, S.
AU - Bhanderi, A.
AU - Bhat, A.
AU - Bhattacharya, M.
AU - Bishai, M.
AU - Blake, A.
AU - Bogart, B.
AU - Bolton, T.
AU - Book, J. Y.
AU - Brunetti, M. B.
AU - Camilleri, L.
AU - Cao, Y.
AU - Caratelli, D.
AU - Cavanna, F.
AU - Cerati, G.
AU - Chappell, A.
AU - Chen, Y.
AU - Conrad, J. M.
AU - Convery, M.
AU - Cooper-Troendle, L.
AU - Crespo-Anadon, J. I.
AU - Cross, R.
AU - Tutto, M. Del
AU - Dennis, S. R.
AU - Detje, P.
AU - Devitt, A.
AU - Diurba, R.
AU - Djurcic, Z.
AU - Dorrill, R.
AU - Duffy, K.
AU - Dytman, S.
AU - Gu, L.
AU - Mawby, I.
AU - Nowak, J.
AU - Patel, N.
AU - Pophale, I.
PY - 2024/6/14
Y1 - 2024/6/14
N2 - We present a first search for dark-trident scattering in a neutrino beam using a data set corresponding to $7.2 \times 10^{20}$ protons on target taken with the MicroBooNE detector at Fermilab. Proton interactions in the neutrino target at the Main Injector produce $\pi^0$ and $\eta$ mesons, which could decay into dark-matter (DM) particles mediated via a dark photon $A^\prime$. A convolutional neural network is trained to identify interactions of the DM particles in the liquid-argon time projection chamber (LArTPC) exploiting its image-like reconstruction capability. In the absence of a DM signal, we provide limits at the $90\%$ confidence level on the squared kinematic mixing parameter $\varepsilon^2$ as a function of the dark-photon mass in the range $10\le M_{A^\prime}\le 400$ MeV. The limits cover previously unconstrained parameter space for the production of fermion or scalar DM particles $\chi$ for two benchmark models with mass ratios $M_{\chi}/M_{A^\prime}=0.6$ and $2$ and for dark fine-structure constants $0.1\le\alpha_D\le 1$.
AB - We present a first search for dark-trident scattering in a neutrino beam using a data set corresponding to $7.2 \times 10^{20}$ protons on target taken with the MicroBooNE detector at Fermilab. Proton interactions in the neutrino target at the Main Injector produce $\pi^0$ and $\eta$ mesons, which could decay into dark-matter (DM) particles mediated via a dark photon $A^\prime$. A convolutional neural network is trained to identify interactions of the DM particles in the liquid-argon time projection chamber (LArTPC) exploiting its image-like reconstruction capability. In the absence of a DM signal, we provide limits at the $90\%$ confidence level on the squared kinematic mixing parameter $\varepsilon^2$ as a function of the dark-photon mass in the range $10\le M_{A^\prime}\le 400$ MeV. The limits cover previously unconstrained parameter space for the production of fermion or scalar DM particles $\chi$ for two benchmark models with mass ratios $M_{\chi}/M_{A^\prime}=0.6$ and $2$ and for dark fine-structure constants $0.1\le\alpha_D\le 1$.
KW - hep-ex
U2 - 10.1103/PhysRevLett.132.241801
DO - 10.1103/PhysRevLett.132.241801
M3 - Journal article
VL - 132
JO - Physical review letters
JF - Physical review letters
SN - 1079-7114
IS - 24
ER -