{"paper":{"title":"First search for dark-trident processes using the MicroBooNE detector","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"hep-ex","authors_text":"A. Ashkenazi, A. Bhanderi, A. Bhat, A. Blake, A. Chappell, A. Devitt, A. Ereditato, A.F. Moor, A.J. White, A. Mastbaum, A. Mogan, A.M. Szelc, A. Navrer-Agasson, A. Papadopoulou, A.P. Furmanski, A. Rafique, A. Schukraft, B. Baller, B. Bogart, B. Eberly, B. Irwin, B.R. Littlejohn, B.T. Fleming, B. Viren, C.D. Moore, C. Hilgenberg, C. James, C. Mariani, C. Rudolph von Rohr, C.Thorpe, C. Zhang, D.A. Martinez Caicedo, D. Andrade Aldana, D. Barrow, D. Caratelli, D. Franco, D. Garcia-Gamez, D. Kalra, D. Marsden, D. Naples, D. Torbunov, D. Totani, D.W. Schmitz, E. Gramellini, E.L. Snider, E. Piasetzky, E. Yandel, F. Cavanna, F. Gao, G.A. Horton-Smith, G. Barr, G. Cerati, G. Ge, G. Karagiorgi, G.P. Zeller, G. Scanavini, H. Greenlee, H. Liu, H. Parkinson, H. Wei, H.W. Yu, I. Kreslo, I. Lepetic, I. Mawby, I. Pophale, I. Safa, J. Asaadi, J. Barrow, J.H. Jo, J.I. Crespo-Anadon, J.J. Evans, J.L. Raaf, J. Marshall, J.M. Conrad, J. Micallef, J. Nowak, J. Rodriguez Rondon, J. Shi, J. Spitz, J. St. John, J. Tyler, J.Y. Book, J.-Y. Li, J. Zennamo, K. Duffy, K. Li, K. Lin, K. Miller, K. Mistry, K. Terao, K. Wresilo, L. Arellano, L. Camilleri, L. Cooper-Troendle, L.E. Yates, L. Gu, L. Hagaman, L. Mora Lepin, L. Ren, L. Rochester, M.A. Uchida, M.B. Brunetti, M. Bhattacharya, M. Bishai, M. B. Leibovitch, M. Convery, M. Del Tutto, M.H. Shaevitz, MicroBooNE collaboration: P. Abratenko, M. Kirby, M.M. Moudgalya, M. Mooney, M. Nebot-Guinot, M. Reggiani-Guzzo, M. Rosenberg, M. Ross-Lonergan, M.S. Ismail, M. Soderberg, M. Stancari, M. Toups, M. Weber, M. Wospakrik, N. Kamp, N. Martinez, N. McConkey, N. Nayak, N. Oza, N. Pallat, N. Patel, N. Taniuchi, O. Alterkait, O. Benevides Rodrigues, O.G. Finnerud, O. Hen, O. Palamara, P. Detje, P. Englezos, P. Green, P. Guzowski, R.A. Johnson, R. Cross, R. Diurba, R. Dorrill, R. Fine, R. Guenette, R. Sharankova, S. Balasubramanian, S. Berkman, S. Dytman, S.F. Pate, S. Gardiner, S. Gollapinni, S. Martynenko, S. Mulleria Babu, S.R. Dennis, S. Soldner-Rembold, S. Wolbers, T. Bolton, T. Kobilarcik, T. Mohayai, T. Strauss, T. Usher, T. Wongjirad, T. Yang, V. Basque, V. Meddage, V. Paolone, V. Papavassiliou, V. Radeka, W.C. Louis, W. Foreman, W. Gu, W. Ketchum, W. Seligman, W. Tang, W. Wu, X. Ji, X. Luo, X. Qian, Y. Cao, Y. Chen, Y.J. Jwa, Y. Li, Y.-T. Tsai, Z. Djurcic, Z. Imani, Z. Pavlovic","submitted_at":"2023-12-21T15:36:14Z","abstract_excerpt":"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 si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.13945","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2312.13945/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}