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The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector

dc.contributor.authorAcciarri, R.
dc.contributor.authorAdams, C.
dc.contributor.authorAn, R.
dc.contributor.authorAnthony, J.
dc.contributor.authorAsaadi, J.
dc.contributor.authorAuger, M.
dc.contributor.authorBagby, L.
dc.contributor.authorBalasubramanian, S.
dc.contributor.authorBaller, B.
dc.contributor.authorBarnes, C.
dc.contributor.authorBarr, G.
dc.contributor.authorBass, M.
dc.contributor.authorBay, F.
dc.contributor.authorBishai, M.
dc.contributor.authorBlake, A.
dc.contributor.authorBolton, T.
dc.contributor.authorCamilleri, L.
dc.contributor.authorCaratelli, D.
dc.contributor.authorCarls, B.
dc.contributor.authorCastillo Fernandez, R.
dc.contributor.authorCavanna, F.
dc.contributor.authorChen, H.
dc.contributor.authorChurch, E.
dc.contributor.authorCianci, D.
dc.contributor.authorCohen, E.
dc.contributor.authorConvery, M.
dc.contributor.authorCrespo-Anadón, J. I
dc.contributor.authorDel Tutto, M.
dc.contributor.authorDevitt, D.
dc.contributor.authorDytman, S.
dc.contributor.authorEberly, B.
dc.contributor.authorEreditato, A.
dc.contributor.authorEscudero Sanchez, L.
dc.contributor.authorEsquivel, J.
dc.contributor.authorFadeeva, A. A
dc.contributor.authorFleming, B. T
dc.contributor.authorForeman, W.
dc.contributor.authorFurmanski, A. P
dc.contributor.authorGarcia-Gamez, D.
dc.contributor.authorGarvey, G. T
dc.contributor.authorGenty, V.
dc.contributor.authorGoeldi, D.
dc.contributor.authorGollapinni, S.
dc.contributor.authorGraf, N.
dc.contributor.authorGramellini, E.
dc.contributor.authorGreenlee, H.
dc.contributor.authorGrosso, R.
dc.contributor.authorGuenette, R.
dc.contributor.authorHackenburg, A.
dc.contributor.authorHamilton, P.
dc.contributor.authorHewes, J.
dc.contributor.authorHill, C.
dc.contributor.authorHo, J.
dc.contributor.authorHorton-Smith, G.
dc.contributor.authorHuang, E.-C.
dc.contributor.authorJames, C.
dc.contributor.authorJan de Vries, J.
dc.contributor.authorJen, C.-M.
dc.contributor.authorJiang, L.
dc.contributor.authorJohnson, R. A
dc.contributor.authorJoshi, J.
dc.contributor.authorJostlein, H.
dc.contributor.authorKaleko, D.
dc.contributor.authorKaragiorgi, G.
dc.contributor.authorKetchum, W.
dc.contributor.authorKirby, B.
dc.contributor.authorKirby, M.
dc.contributor.authorKobilarcik, T.
dc.contributor.authorKreslo, I.
dc.contributor.authorLaube, A.
dc.contributor.authorLi, Y.
dc.contributor.authorLister, A.
dc.contributor.authorLittlejohn, B. R
dc.contributor.authorLockwitz, S.
dc.contributor.authorLorca, D.
dc.contributor.authorLouis, W. C
dc.contributor.authorLuethi, M.
dc.contributor.authorLundberg, B.
dc.contributor.authorLuo, X.
dc.contributor.authorMarchionni, A.
dc.contributor.authorMariani, C.
dc.contributor.authorMarshall, J.
dc.contributor.authorMartinez Caicedo, D. A
dc.contributor.authorMeddage, V.
dc.contributor.authorMiceli, T.
dc.contributor.authorMills, G. B
dc.contributor.authorMooney, M.
dc.contributor.authorMoore, C. D
dc.contributor.authorMousseau, J.
dc.contributor.authorMurrells, R.
dc.contributor.authorNaples, D.
dc.contributor.authorNienaber, P.
dc.contributor.authorNowak, J.
dc.contributor.authorPalamara, O.
dc.contributor.authorPaolone, V.
dc.contributor.authorPapavassiliou, V.
dc.contributor.authorPate, S. F
dc.contributor.authorPavlovic, Z.
dc.contributor.authorPiasetzky, E.
dc.contributor.authorPorzio, D.
dc.contributor.authorPulliam, G.
dc.contributor.authorQian, X.
dc.contributor.authorRaaf, J. L
dc.contributor.authorRafique, A.
dc.contributor.authorRochester, L.
dc.contributor.authorRudolf von Rohr, C.
dc.contributor.authorRussell, B.
dc.contributor.authorSchmitz, D. W
dc.contributor.authorSchukraft, A.
dc.contributor.authorSeligman, W.
dc.contributor.authorShaevitz, M. H
dc.contributor.authorSinclair, J.
dc.contributor.authorSmith, A.
dc.contributor.authorSnider, E. L
dc.contributor.authorSoderberg, M.
dc.contributor.authorSöldner-Rembold, S.
dc.contributor.authorSoleti, S. R
dc.contributor.authorSpentzouris, P.
dc.contributor.authorSpitz, J.
dc.contributor.authorSt. John, J.
dc.contributor.authorStrauss, T.
dc.contributor.authorSzelc, A. M
dc.contributor.authorTagg, N.
dc.contributor.authorTerao, K.
dc.contributor.authorThomson, M.
dc.contributor.authorToups, M.
dc.contributor.authorTsai, Y.-T.
dc.contributor.authorTufanli, S.
dc.contributor.authorUsher, T.
dc.contributor.authorVan De Pontseele, W.
dc.contributor.authorVan de Water, R. G
dc.contributor.authorViren, B.
dc.contributor.authorWeber, M.
dc.contributor.authorWickremasinghe, D. A
dc.contributor.authorWolbers, S.
dc.contributor.authorWoodruff, K.
dc.contributor.authorYang, T.
dc.contributor.authorZeller, G. P
dc.contributor.authorZennamo, J.
dc.contributor.authorZhang, C.
dc.contributor.authorCollin, G. H.
dc.contributor.authorConrad, Janet Marie
dc.contributor.authorHen, Or
dc.contributor.authorHourlier, Adrien C.
dc.contributor.authorMoon, J.
dc.contributor.authorWongjirad, Taritree
dc.contributor.authorYates, Lauren Elizabeth
dc.date.accessioned2018-02-14T18:30:45Z
dc.date.available2018-02-14T18:30:45Z
dc.date.issued2018-01
dc.date.submitted2017-08
dc.identifier.issn1434-6044
dc.identifier.issn1434-6052
dc.identifier.urihttp://hdl.handle.net/1721.1/113657
dc.description.abstractThe 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 which individual algorithms each address a specific task in a particular topology. Many tens of algorithms then carefully build up a picture of the event and, together, provide a robust automated pattern-recognition solution. This paper describes details of the chain of over one hundred Pandora algorithms and tools used to reconstruct cosmic-ray muon and neutrino events in the MicroBooNE detector. Metrics that assess the current pattern-recognition performance are presented for simulated MicroBooNE events, using a selection of final-state event topologies.en_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.relation.isversionofhttp://dx.doi.org/10.1140/epjc/s10052-017-5481-6en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer Berlin Heidelbergen_US
dc.titleThe Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detectoren_US
dc.typeArticleen_US
dc.identifier.citationAcciarri, R., et al. “The Pandora Multi-Algorithm Approach to Automated Pattern Recognition of Cosmic-Ray Muon and Neutrino Events in the MicroBooNE Detector.” The European Physical Journal C, vol. 78, no. 1, Jan. 2018.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physics
dc.contributor.mitauthorCollin, G. H.
dc.contributor.mitauthorConrad, Janet Marie
dc.contributor.mitauthorHen, Or
dc.contributor.mitauthorHourlier, Adrien C.
dc.contributor.mitauthorMoon, J.
dc.contributor.mitauthorWongjirad, Taritree
dc.contributor.mitauthorYates, Lauren Elizabeth
dc.relation.journalThe European Physical Journal Cen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-01-30T04:46:11Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.orderedauthorsAcciarri, R.; Adams, C.; An, R.; Anthony, J.; Asaadi, J.; Auger, M.; Bagby, L.; Balasubramanian, S.; Baller, B.; Barnes, C.; Barr, G.; Bass, M.; Bay, F.; Bishai, M.; Blake, A.; Bolton, T.; Camilleri, L.; Caratelli, D.; Carls, B.; Castillo Fernandez, R.; Cavanna, F.; Chen, H.; Church, E.; Cianci, D.; Cohen, E.; Collin, G. H.; Conrad, J. M.; Convery, M.; Crespo-Anadón, J. I.; Del Tutto, M.; Devitt, D.; Dytman, S.; Eberly, B.; Ereditato, A.; Escudero Sanchez, L.; Esquivel, J.; Fadeeva, A. A.; Fleming, B. T.; Foreman, W.; Furmanski, A. P.; Garcia-Gamez, D.; 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.; Hourlier, A.; Huang, E.-C.; James, C.; Jan de Vries, J.; Jen, C.-M.; Jiang, L.; Johnson, R. A.; 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.; Martinez Caicedo, D. A.; 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.; Piasetzky, E.; Porzio, D.; Pulliam, G.; Qian, X.; Raaf, J. L.; Rafique, A.; Rochester, L.; Rudolf von Rohr, C.; Russell, B.; Schmitz, D. W.; Schukraft, A.; Seligman, W.; Shaevitz, M. H.; Sinclair, J.; Smith, A.; 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 Pontseele, W.; Van de Water, R. G.; Viren, B.; Weber, M.; Wickremasinghe, D. A.; Wolbers, S.; Wongjirad, T.; Woodruff, K.; Yang, T.; Yates, L.; Zeller, G. P.; Zennamo, J.; Zhang, C.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6393-0438
dc.identifier.orcidhttps://orcid.org/0000-0002-6358-6235
mit.licensePUBLISHER_CCen_US


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