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dc.contributor.authorBugel, Leonard G.
dc.contributor.authorConrad, Janet Marie
dc.contributor.authorHen, Or
dc.contributor.authorJones, Benjamin James Poyner
dc.contributor.authorWongjirad, Taritree
dc.date.accessioned2019-03-14T19:21:35Z
dc.date.available2019-03-14T19:21:35Z
dc.date.issued2017-03
dc.date.submitted2016-12
dc.identifier.issn1748-0221
dc.identifier.urihttp://hdl.handle.net/1721.1/120970
dc.description.abstractWe present several studies of convolutional neural networks applied to data coming from the MicroBooNE detector, a liquid argon time projection chamber (LArTPC). The algorithms studied include the classification of single particle images, the localization of single particle and neutrino interactions in an image, and the detection of a simulated neutrino event overlaid with cosmic ray backgrounds taken from real detector data. These studies demonstrate the potential of convolutional neural networks for particle identification or event detection on simulated neutrino interactions. We also address technical issues that arise when applying this technique to data from a large LArTPC at or near ground level.en_US
dc.publisherIOP Publishingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1088/1748-0221/12/03/P03011en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleConvolutional neural networks applied to neutrino events in a liquid argon time projection chamberen_US
dc.typeArticleen_US
dc.identifier.citationAcciarri, R. et al. “Convolutional Neural Networks Applied to Neutrino Events in a Liquid Argon Time Projection Chamber.” Journal of Instrumentation 12, 3 (March 2017): P03011–P03011 © 2017 IOP Publishing Ltd and Sissa Medialaben_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Nuclear Scienceen_US
dc.contributor.mitauthorBugel, Leonard G.
dc.contributor.mitauthorConrad, Janet Marie
dc.contributor.mitauthorHen, Or
dc.contributor.mitauthorJones, Benjamin James Poyner
dc.contributor.mitauthorWongjirad, Taritree
dc.relation.journalJournal of Instrumentationen_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-03-14T18:29:04Z
dspace.orderedauthorsAcciarri, R.; Adams, C.; An, R.; Asaadi, J.; Auger, M.; Bagby, L.; Baller, B.; Barr, G.; Bass, M.; Bay, F.; Bishai, M.; Blake, A.; Bolton, T.; Bugel, L.; Camilleri, L.; Caratelli, D.; Carls, B.; Fernandez, R. Castillo; Cavanna, F.; Chen, H.; Church, E.; Cianci, D.; Collin, G.H.; Conrad, J.M.; Convery, M.; Crespo-Anadón, J.I.; Del Tutto, M.; Devitt, D.; Dytman, S.; Eberly, B.; Ereditato, A.; Sanchez, L. Escudero; Esquivel, J.; Fleming, B.T.; Foreman, W.; Furmanski, A.P.; Garvey, G.T.; Genty, V.; Goeldi, D.; Gollapinni, S.; Graf, N.; Gramellini, E.; Greenlee, H.; Grosso, R.; Guenette, R.; Hackenburg, A.; Hamilton, P.; Hen, O.; Hewes, J.; Hill, C.; Ho, J.; Horton-Smith, G.; James, C.; de Vries, J. Jan; Jen, C.-M.; Jiang, L.; Johnson, R.A.; Jones, B.J.P.; Joshi, J.; Jostlein, H.; Kaleko, D.; Karagiorgi, G.; Ketchum, W.; Kirby, B.; Kirby, M.; Kobilarcik, T.; Kreslo, I.; Laube, A.; Li, Y.; Lister, A.; Littlejohn, B.R.; Lockwitz, S.; Lorca, D.; Louis, W.C.; Luethi, M.; Lundberg, B.; Luo, X.; Marchionni, A.; Mariani, C.; Marshall, J.; Caicedo, D.A. Martinez; Meddage, V.; Miceli, T.; Mills, G.B.; Moon, J.; Mooney, M.; Moore, C.D.; Mousseau, J.; Murrells, R.; Naples, D.; Nienaber, P.; Nowak, J.; Palamara, O.; Paolone, V.; Papavassiliou, V.; Pate, S.F.; Pavlovic, Z.; Porzio, D.; Pulliam, G.; Qian, X.; Raaf, J.L.; Rafique, A.; Rochester, L.; von Rohr, C. Rudolf; Russell, B.; Schmitz, D.W.; Schukraft, A.; Seligman, W.; Shaevitz, M.H.; Sinclair, J.; Snider, E.L.; Soderberg, M.; Söldner-Rembold, S.; Soleti, S.R.; Spentzouris, P.; Spitz, J.; St. John, J.; Strauss, T.; Szelc, A.M.; Tagg, N.; Terao, K.; Thomson, M.; Toups, M.; Tsai, Y.-T.; Tufanli, S.; Usher, T.; Van de Water, R.G.; Viren, B.; Weber, M.; Weston, J.; Wickremasinghe, D.A.; Wolbers, S.; Wongjirad, T.; Woodruff, K.; Yang, T.; Zeller, G.P.; Zennamo, J.; Zhang, C.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-3837-3921
dc.identifier.orcidhttps://orcid.org/0000-0002-6393-0438
dc.identifier.orcidhttps://orcid.org/0000-0002-4890-6544
dc.identifier.orcidhttps://orcid.org/0000-0001-6243-1453
dc.identifier.orcidhttps://orcid.org/0000-0002-6358-6235
mit.licenseOPEN_ACCESS_POLICYen_US


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