{"paper":{"title":"The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"hep-ex","authors_text":"A.A. Fadeeva, A. Blake, A. Ereditato, A. Hackenburg, A. Hourlier, A. Laube, A. Lister, A. Marchionni, A.M. Szelc, A.P. Furmanski, A. Rafique, A. Schukraft, A. Smith, B. Baller, B. Carls, B. Eberly, B. Kirby, B. Lundberg, B.R. Littlejohn, B. Russell, B.T. Fleming, B. Viren, C. Adams, C. Barnes, C.D. Moore, C. Hill, C. James, C. Mariani, C.-M. Jen, C. Rudolf von Rohr, C. Zhang, D.A. Martinez Caicedo, D.A. Wickremasinghe, D. Caratelli, D. Cianci, D. Devitt, D. Garcia-Gomez, D. Goeldi, D. Kaleko, D. Lorca, D. Naples, D. Porzio, D.W. Schmitz, E.-C. Huang, E. Church, E. Cohen, E. Gramellini, E.L. Snider, E. Piasetzky, F. Bay, F. Cavanna, G. Barr, G.B. Mills, G.H. Collin, G. Horton-Smith, G. Karagiorgi, G. Pulliam, G.P. Zeller, G.T. Garvey, H. Chen, H. Greenlee, H. Jostlein, I. Kreslo, J. Anthony, J. Asaadi, J. Esquivel, J. Ho, J.I. Crespo-Anadon, J. Jan de Vries, J. Joshi, J.L. Raaf, J. Marshall, J.M. Conrad, J. Moon, J. Mousseau, J. Nowak, J. Sinclair, J. Spitz, J. St. John, J. Zennamo, K. Terao, K. Woodruff, L. Bagby, L. Camilleri, L. Escudero Sanchez, L. Jiang, L. Rochester, L. Yates, M. Auger, M. Bass, M. Bishai, M. Convery, M. Del Tutto, M.H. Shaevitz, MicroBooNE collaboration: R. Acciarri, M. Kirby, M. Luethi, M. Mooney, M. Soderberg, M. Thomson, M. Toups, M. Weber, N. Graf, N. Tagg, O. Hen, O. Palamara, P. Hamilton, P. Nienaber, P. Spentzouris, R.A. Johnson, R. An, R. Castillo Fernandez, R. Grosso, R. Guenette, R.G. Van de Water, R. Murrells, S. Balasubramanian, S. Dytman, S.F. Pate, S. Gollapinni, S. Lockwitz, S.R. Soleti, S. Soldner-Rembold, S. Tufanli, S. Wolbers, T. Bolton, T. Kobilarcik, T. Miceli, T. Strauss, T. Usher, T. Wongjirad, T. Yang, V. Genty, V Hewes, V. Meddage, V. Paolone, V. Papavassiliou, W.C. Louis, W. Foreman, W. Ketchum, W. Seligman, W. Van De Pontseele, X. Luo, X. Qian, Y. Li, Y.-T. Tsai, Z. Pavlovic","submitted_at":"2017-08-10T09:24:21Z","abstract_excerpt":"The development and operation of Liquid-Argon Time-Projection Chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology. Whereas the human brain can excel at identifying features in the recorded events, it is a significant challenge to develop an automated, algorithmic solution. The Pandora Software Development Kit provides functionality to aid the design and implementation of pattern-recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition, in "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.03135","kind":"arxiv","version":1},"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/1708.03135/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"}