Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions
Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these obser...
Ausführliche Beschreibung
Autor*in: |
Adams, C. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Anmerkung: |
© The Author(s) 2019 |
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Übergeordnetes Werk: |
Enthalten in: The European physical journal - Berlin : Springer, 1998, 79(2019), 3 vom: März |
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Übergeordnetes Werk: |
volume:79 ; year:2019 ; number:3 ; month:03 |
Links: |
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DOI / URN: |
10.1140/epjc/s10052-019-6742-3 |
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Katalog-ID: |
SPR008379025 |
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245 | 1 | 0 | |a Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions |
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520 | |a Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. | ||
700 | 1 | |a An, R. |4 aut | |
700 | 1 | |a Anthony, J. |4 aut | |
700 | 1 | |a Asaadi, J. |4 aut | |
700 | 1 | |a Auger, M. |4 aut | |
700 | 1 | |a Balasubramanian, S. |4 aut | |
700 | 1 | |a Baller, B. |4 aut | |
700 | 1 | |a Barnes, C. |4 aut | |
700 | 1 | |a Barr, G. |4 aut | |
700 | 1 | |a Bass, M. |4 aut | |
700 | 1 | |a Bay, F. |4 aut | |
700 | 1 | |a Bhat, A. |4 aut | |
700 | 1 | |a Bhattacharya, K. |4 aut | |
700 | 1 | |a Bishai, M. |4 aut | |
700 | 1 | |a Blake, A. |4 aut | |
700 | 1 | |a Bolton, T. |4 aut | |
700 | 1 | |a Camilleri, L. |4 aut | |
700 | 1 | |a Caratelli, D. |4 aut | |
700 | 1 | |a Castillo Fernandez, R. |4 aut | |
700 | 1 | |a Cavanna, F. |4 aut | |
700 | 1 | |a Cerati, G. |4 aut | |
700 | 1 | |a Chen, H. |4 aut | |
700 | 1 | |a Chen, Y. |4 aut | |
700 | 1 | |a Church, E. |4 aut | |
700 | 1 | |a Cianci, D. |4 aut | |
700 | 1 | |a Cohen, E. |4 aut | |
700 | 1 | |a Collin, G. H. |4 aut | |
700 | 1 | |a Conrad, J. M. |4 aut | |
700 | 1 | |a Convery, M. |4 aut | |
700 | 1 | |a Cooper-Troendle, L. |4 aut | |
700 | 1 | |a Crespo-Anadón, J. I. |4 aut | |
700 | 1 | |a Del Tutto, M. |4 aut | |
700 | 1 | |a Devitt, A. |4 aut | |
700 | 1 | |a Diaz, A. |4 aut | |
700 | 1 | |a Dytman, S. |4 aut | |
700 | 1 | |a Eberly, B. |4 aut | |
700 | 1 | |a Ereditato, A. |4 aut | |
700 | 1 | |a Escudero Sanchez, L. |4 aut | |
700 | 1 | |a Esquivel, J. |4 aut | |
700 | 1 | |a Evans, J. J. |4 aut | |
700 | 1 | |a Fadeeva, A. A. |4 aut | |
700 | 1 | |a Fleming, B. T. |4 aut | |
700 | 1 | |a Foreman, W. |4 aut | |
700 | 1 | |a Furmanski, A. P. |4 aut | |
700 | 1 | |a Garcia-Gamez, D. |4 aut | |
700 | 1 | |a Garvey, G. T. |4 aut | |
700 | 1 | |a Genty, V. |4 aut | |
700 | 1 | |a Goeldi, D. |4 aut | |
700 | 1 | |a Gollapinni, S. |4 aut | |
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700 | 1 | |a Hen, O. |4 aut | |
700 | 1 | |a Hewes, J. |4 aut | |
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700 | 1 | |a Ho, J. |4 aut | |
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700 | 1 | |a Toups, M. |4 aut | |
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10.1140/epjc/s10052-019-6742-3 doi (DE-627)SPR008379025 (SPR)s10052-019-6742-3-e DE-627 ger DE-627 rakwb eng Adams, C. verfasserin aut Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. An, R. aut Anthony, J. aut Asaadi, J. aut Auger, M. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Bass, M. aut Bay, F. aut Bhat, A. aut Bhattacharya, K. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Camilleri, L. aut Caratelli, D. aut Castillo Fernandez, R. aut Cavanna, F. aut Cerati, G. aut Chen, H. aut Chen, Y. aut Church, E. aut Cianci, D. aut Cohen, E. aut Collin, G. H. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Devitt, A. aut Diaz, A. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Escudero Sanchez, L. aut Esquivel, J. aut Evans, J. J. aut Fadeeva, A. A. aut Fleming, B. T. aut Foreman, W. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Garvey, G. T. aut Genty, V. aut Goeldi, D. aut Gollapinni, S. aut Gramellini, E. aut Greenlee, H. aut Grosso, R. aut Guenette, R. aut Guzowski, P. aut Hackenburg, A. aut Hamilton, P. aut Hen, O. aut Hewes, J. aut Hill, C. aut Ho, J. aut Horton-Smith, G. A. aut Hourlier, A. aut Huang, E.-C. aut James, C. aut de Vries, J. Jan aut Jiang, L. aut Johnson, R. A. aut Joshi, J. aut Jostlein, H. aut Jwa, Y.-J. aut Kaleko, D. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, B. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Li, Y. aut Lister, A. aut Littlejohn, B. R. aut Lockwitz, S. aut Lorca, D. aut Louis, W. C. aut Luethi, M. aut Lundberg, B. aut Luo, X. aut Marchionni, A. aut Marcocci, S. aut Mariani, C. aut Marshall, J. aut Martinez Caicedo, D. A. aut Mastbaum, A. aut Meddage, V. aut Mettler, T. aut Miceli, T. aut Mills, G. B. aut Mogan, A. aut Moon, J. aut Mooney, M. aut Moore, C. D. aut Mousseau, J. aut Murphy, M. aut Murrells, R. aut Naples, D. aut Nienaber, P. aut Nowak, J. aut Palamara, O. aut Pandey, V. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Pavlovic, Z. aut Piasetzky, E. aut Porzio, D. aut Pulliam, G. aut Qian, X. aut Raaf, J. L. aut Rafique, A. (orcid)0000-0001-8057-4087 aut Rochester, L. aut Ross-Lonergan, M. aut von Rohr, C. Rudolf aut Russell, B. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Soleti, S. R. aut Spentzouris, P. aut Spitz, J. aut John, J. St. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tagg, N. aut Tang, W. aut Terao, K. aut Thomson, M. aut Toups, M. aut Tsai, Y.-T. aut Tufanli, S. aut Usher, T. aut Van De Pontseele, W. aut Van de Water, R. G. aut Viren, B. aut Weber, M. aut Wei, H. aut Wickremasinghe, D. A. aut Wierman, K. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Woodruff, K. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 79(2019), 3 vom: März (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:79 year:2019 number:3 month:03 https://dx.doi.org/10.1140/epjc/s10052-019-6742-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 79 2019 3 03 |
spelling |
10.1140/epjc/s10052-019-6742-3 doi (DE-627)SPR008379025 (SPR)s10052-019-6742-3-e DE-627 ger DE-627 rakwb eng Adams, C. verfasserin aut Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. An, R. aut Anthony, J. aut Asaadi, J. aut Auger, M. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Bass, M. aut Bay, F. aut Bhat, A. aut Bhattacharya, K. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Camilleri, L. aut Caratelli, D. aut Castillo Fernandez, R. aut Cavanna, F. aut Cerati, G. aut Chen, H. aut Chen, Y. aut Church, E. aut Cianci, D. aut Cohen, E. aut Collin, G. H. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Devitt, A. aut Diaz, A. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Escudero Sanchez, L. aut Esquivel, J. aut Evans, J. J. aut Fadeeva, A. A. aut Fleming, B. T. aut Foreman, W. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Garvey, G. T. aut Genty, V. aut Goeldi, D. aut Gollapinni, S. aut Gramellini, E. aut Greenlee, H. aut Grosso, R. aut Guenette, R. aut Guzowski, P. aut Hackenburg, A. aut Hamilton, P. aut Hen, O. aut Hewes, J. aut Hill, C. aut Ho, J. aut Horton-Smith, G. A. aut Hourlier, A. aut Huang, E.-C. aut James, C. aut de Vries, J. Jan aut Jiang, L. aut Johnson, R. A. aut Joshi, J. aut Jostlein, H. aut Jwa, Y.-J. aut Kaleko, D. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, B. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Li, Y. aut Lister, A. aut Littlejohn, B. R. aut Lockwitz, S. aut Lorca, D. aut Louis, W. C. aut Luethi, M. aut Lundberg, B. aut Luo, X. aut Marchionni, A. aut Marcocci, S. aut Mariani, C. aut Marshall, J. aut Martinez Caicedo, D. A. aut Mastbaum, A. aut Meddage, V. aut Mettler, T. aut Miceli, T. aut Mills, G. B. aut Mogan, A. aut Moon, J. aut Mooney, M. aut Moore, C. D. aut Mousseau, J. aut Murphy, M. aut Murrells, R. aut Naples, D. aut Nienaber, P. aut Nowak, J. aut Palamara, O. aut Pandey, V. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Pavlovic, Z. aut Piasetzky, E. aut Porzio, D. aut Pulliam, G. aut Qian, X. aut Raaf, J. L. aut Rafique, A. (orcid)0000-0001-8057-4087 aut Rochester, L. aut Ross-Lonergan, M. aut von Rohr, C. Rudolf aut Russell, B. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Soleti, S. R. aut Spentzouris, P. aut Spitz, J. aut John, J. St. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tagg, N. aut Tang, W. aut Terao, K. aut Thomson, M. aut Toups, M. aut Tsai, Y.-T. aut Tufanli, S. aut Usher, T. aut Van De Pontseele, W. aut Van de Water, R. G. aut Viren, B. aut Weber, M. aut Wei, H. aut Wickremasinghe, D. A. aut Wierman, K. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Woodruff, K. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 79(2019), 3 vom: März (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:79 year:2019 number:3 month:03 https://dx.doi.org/10.1140/epjc/s10052-019-6742-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 79 2019 3 03 |
allfields_unstemmed |
10.1140/epjc/s10052-019-6742-3 doi (DE-627)SPR008379025 (SPR)s10052-019-6742-3-e DE-627 ger DE-627 rakwb eng Adams, C. verfasserin aut Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. An, R. aut Anthony, J. aut Asaadi, J. aut Auger, M. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Bass, M. aut Bay, F. aut Bhat, A. aut Bhattacharya, K. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Camilleri, L. aut Caratelli, D. aut Castillo Fernandez, R. aut Cavanna, F. aut Cerati, G. aut Chen, H. aut Chen, Y. aut Church, E. aut Cianci, D. aut Cohen, E. aut Collin, G. H. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Devitt, A. aut Diaz, A. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Escudero Sanchez, L. aut Esquivel, J. aut Evans, J. J. aut Fadeeva, A. A. aut Fleming, B. T. aut Foreman, W. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Garvey, G. T. aut Genty, V. aut Goeldi, D. aut Gollapinni, S. aut Gramellini, E. aut Greenlee, H. aut Grosso, R. aut Guenette, R. aut Guzowski, P. aut Hackenburg, A. aut Hamilton, P. aut Hen, O. aut Hewes, J. aut Hill, C. aut Ho, J. aut Horton-Smith, G. A. aut Hourlier, A. aut Huang, E.-C. aut James, C. aut de Vries, J. Jan aut Jiang, L. aut Johnson, R. A. aut Joshi, J. aut Jostlein, H. aut Jwa, Y.-J. aut Kaleko, D. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, B. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Li, Y. aut Lister, A. aut Littlejohn, B. R. aut Lockwitz, S. aut Lorca, D. aut Louis, W. C. aut Luethi, M. aut Lundberg, B. aut Luo, X. aut Marchionni, A. aut Marcocci, S. aut Mariani, C. aut Marshall, J. aut Martinez Caicedo, D. A. aut Mastbaum, A. aut Meddage, V. aut Mettler, T. aut Miceli, T. aut Mills, G. B. aut Mogan, A. aut Moon, J. aut Mooney, M. aut Moore, C. D. aut Mousseau, J. aut Murphy, M. aut Murrells, R. aut Naples, D. aut Nienaber, P. aut Nowak, J. aut Palamara, O. aut Pandey, V. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Pavlovic, Z. aut Piasetzky, E. aut Porzio, D. aut Pulliam, G. aut Qian, X. aut Raaf, J. L. aut Rafique, A. (orcid)0000-0001-8057-4087 aut Rochester, L. aut Ross-Lonergan, M. aut von Rohr, C. Rudolf aut Russell, B. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Soleti, S. R. aut Spentzouris, P. aut Spitz, J. aut John, J. St. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tagg, N. aut Tang, W. aut Terao, K. aut Thomson, M. aut Toups, M. aut Tsai, Y.-T. aut Tufanli, S. aut Usher, T. aut Van De Pontseele, W. aut Van de Water, R. G. aut Viren, B. aut Weber, M. aut Wei, H. aut Wickremasinghe, D. A. aut Wierman, K. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Woodruff, K. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 79(2019), 3 vom: März (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:79 year:2019 number:3 month:03 https://dx.doi.org/10.1140/epjc/s10052-019-6742-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 79 2019 3 03 |
allfieldsGer |
10.1140/epjc/s10052-019-6742-3 doi (DE-627)SPR008379025 (SPR)s10052-019-6742-3-e DE-627 ger DE-627 rakwb eng Adams, C. verfasserin aut Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. An, R. aut Anthony, J. aut Asaadi, J. aut Auger, M. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Bass, M. aut Bay, F. aut Bhat, A. aut Bhattacharya, K. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Camilleri, L. aut Caratelli, D. aut Castillo Fernandez, R. aut Cavanna, F. aut Cerati, G. aut Chen, H. aut Chen, Y. aut Church, E. aut Cianci, D. aut Cohen, E. aut Collin, G. H. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Devitt, A. aut Diaz, A. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Escudero Sanchez, L. aut Esquivel, J. aut Evans, J. J. aut Fadeeva, A. A. aut Fleming, B. T. aut Foreman, W. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Garvey, G. T. aut Genty, V. aut Goeldi, D. aut Gollapinni, S. aut Gramellini, E. aut Greenlee, H. aut Grosso, R. aut Guenette, R. aut Guzowski, P. aut Hackenburg, A. aut Hamilton, P. aut Hen, O. aut Hewes, J. aut Hill, C. aut Ho, J. aut Horton-Smith, G. A. aut Hourlier, A. aut Huang, E.-C. aut James, C. aut de Vries, J. Jan aut Jiang, L. aut Johnson, R. A. aut Joshi, J. aut Jostlein, H. aut Jwa, Y.-J. aut Kaleko, D. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, B. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Li, Y. aut Lister, A. aut Littlejohn, B. R. aut Lockwitz, S. aut Lorca, D. aut Louis, W. C. aut Luethi, M. aut Lundberg, B. aut Luo, X. aut Marchionni, A. aut Marcocci, S. aut Mariani, C. aut Marshall, J. aut Martinez Caicedo, D. A. aut Mastbaum, A. aut Meddage, V. aut Mettler, T. aut Miceli, T. aut Mills, G. B. aut Mogan, A. aut Moon, J. aut Mooney, M. aut Moore, C. D. aut Mousseau, J. aut Murphy, M. aut Murrells, R. aut Naples, D. aut Nienaber, P. aut Nowak, J. aut Palamara, O. aut Pandey, V. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Pavlovic, Z. aut Piasetzky, E. aut Porzio, D. aut Pulliam, G. aut Qian, X. aut Raaf, J. L. aut Rafique, A. (orcid)0000-0001-8057-4087 aut Rochester, L. aut Ross-Lonergan, M. aut von Rohr, C. Rudolf aut Russell, B. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Soleti, S. R. aut Spentzouris, P. aut Spitz, J. aut John, J. St. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tagg, N. aut Tang, W. aut Terao, K. aut Thomson, M. aut Toups, M. aut Tsai, Y.-T. aut Tufanli, S. aut Usher, T. aut Van De Pontseele, W. aut Van de Water, R. G. aut Viren, B. aut Weber, M. aut Wei, H. aut Wickremasinghe, D. A. aut Wierman, K. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Woodruff, K. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 79(2019), 3 vom: März (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:79 year:2019 number:3 month:03 https://dx.doi.org/10.1140/epjc/s10052-019-6742-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 79 2019 3 03 |
allfieldsSound |
10.1140/epjc/s10052-019-6742-3 doi (DE-627)SPR008379025 (SPR)s10052-019-6742-3-e DE-627 ger DE-627 rakwb eng Adams, C. verfasserin aut Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2019 Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. An, R. aut Anthony, J. aut Asaadi, J. aut Auger, M. aut Balasubramanian, S. aut Baller, B. aut Barnes, C. aut Barr, G. aut Bass, M. aut Bay, F. aut Bhat, A. aut Bhattacharya, K. aut Bishai, M. aut Blake, A. aut Bolton, T. aut Camilleri, L. aut Caratelli, D. aut Castillo Fernandez, R. aut Cavanna, F. aut Cerati, G. aut Chen, H. aut Chen, Y. aut Church, E. aut Cianci, D. aut Cohen, E. aut Collin, G. H. aut Conrad, J. M. aut Convery, M. aut Cooper-Troendle, L. aut Crespo-Anadón, J. I. aut Del Tutto, M. aut Devitt, A. aut Diaz, A. aut Dytman, S. aut Eberly, B. aut Ereditato, A. aut Escudero Sanchez, L. aut Esquivel, J. aut Evans, J. J. aut Fadeeva, A. A. aut Fleming, B. T. aut Foreman, W. aut Furmanski, A. P. aut Garcia-Gamez, D. aut Garvey, G. T. aut Genty, V. aut Goeldi, D. aut Gollapinni, S. aut Gramellini, E. aut Greenlee, H. aut Grosso, R. aut Guenette, R. aut Guzowski, P. aut Hackenburg, A. aut Hamilton, P. aut Hen, O. aut Hewes, J. aut Hill, C. aut Ho, J. aut Horton-Smith, G. A. aut Hourlier, A. aut Huang, E.-C. aut James, C. aut de Vries, J. Jan aut Jiang, L. aut Johnson, R. A. aut Joshi, J. aut Jostlein, H. aut Jwa, Y.-J. aut Kaleko, D. aut Karagiorgi, G. aut Ketchum, W. aut Kirby, B. aut Kirby, M. aut Kobilarcik, T. aut Kreslo, I. aut Li, Y. aut Lister, A. aut Littlejohn, B. R. aut Lockwitz, S. aut Lorca, D. aut Louis, W. C. aut Luethi, M. aut Lundberg, B. aut Luo, X. aut Marchionni, A. aut Marcocci, S. aut Mariani, C. aut Marshall, J. aut Martinez Caicedo, D. A. aut Mastbaum, A. aut Meddage, V. aut Mettler, T. aut Miceli, T. aut Mills, G. B. aut Mogan, A. aut Moon, J. aut Mooney, M. aut Moore, C. D. aut Mousseau, J. aut Murphy, M. aut Murrells, R. aut Naples, D. aut Nienaber, P. aut Nowak, J. aut Palamara, O. aut Pandey, V. aut Paolone, V. aut Papadopoulou, A. aut Papavassiliou, V. aut Pate, S. F. aut Pavlovic, Z. aut Piasetzky, E. aut Porzio, D. aut Pulliam, G. aut Qian, X. aut Raaf, J. L. aut Rafique, A. (orcid)0000-0001-8057-4087 aut Rochester, L. aut Ross-Lonergan, M. aut von Rohr, C. Rudolf aut Russell, B. aut Schmitz, D. W. aut Schukraft, A. aut Seligman, W. aut Shaevitz, M. H. aut Sinclair, J. aut Smith, A. aut Snider, E. L. aut Soderberg, M. aut Söldner-Rembold, S. aut Soleti, S. R. aut Spentzouris, P. aut Spitz, J. aut John, J. St. aut Strauss, T. aut Sutton, K. aut Sword-Fehlberg, S. aut Szelc, A. M. aut Tagg, N. aut Tang, W. aut Terao, K. aut Thomson, M. aut Toups, M. aut Tsai, Y.-T. aut Tufanli, S. aut Usher, T. aut Van De Pontseele, W. aut Van de Water, R. G. aut Viren, B. aut Weber, M. aut Wei, H. aut Wickremasinghe, D. A. aut Wierman, K. aut Williams, Z. aut Wolbers, S. aut Wongjirad, T. aut Woodruff, K. aut Yang, T. aut Yarbrough, G. aut Yates, L. E. aut Zeller, G. P. aut Zennamo, J. aut Zhang, C. aut Enthalten in The European physical journal Berlin : Springer, 1998 79(2019), 3 vom: März (DE-627)253722934 (DE-600)1459069-4 1434-6052 nnns volume:79 year:2019 number:3 month:03 https://dx.doi.org/10.1140/epjc/s10052-019-6742-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2119 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 79 2019 3 03 |
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Adams, C. @@aut@@ An, R. @@aut@@ Anthony, J. @@aut@@ Asaadi, J. @@aut@@ Auger, M. @@aut@@ Balasubramanian, S. @@aut@@ Baller, B. @@aut@@ Barnes, C. @@aut@@ Barr, G. @@aut@@ Bass, M. @@aut@@ Bay, F. @@aut@@ Bhat, A. @@aut@@ Bhattacharya, K. @@aut@@ Bishai, M. @@aut@@ Blake, A. @@aut@@ Bolton, T. @@aut@@ Camilleri, L. @@aut@@ Caratelli, D. @@aut@@ Castillo Fernandez, R. @@aut@@ Cavanna, F. @@aut@@ Cerati, G. @@aut@@ Chen, H. @@aut@@ Chen, Y. @@aut@@ Church, E. @@aut@@ Cianci, D. @@aut@@ Cohen, E. @@aut@@ Collin, G. H. @@aut@@ Conrad, J. M. @@aut@@ Convery, M. @@aut@@ Cooper-Troendle, L. @@aut@@ Crespo-Anadón, J. I. @@aut@@ Del Tutto, M. @@aut@@ Devitt, A. @@aut@@ Diaz, A. @@aut@@ Dytman, S. @@aut@@ Eberly, B. @@aut@@ Ereditato, A. @@aut@@ Escudero Sanchez, L. @@aut@@ Esquivel, J. @@aut@@ Evans, J. J. @@aut@@ Fadeeva, A. A. @@aut@@ Fleming, B. T. @@aut@@ Foreman, W. @@aut@@ Furmanski, A. P. @@aut@@ Garcia-Gamez, D. @@aut@@ Garvey, G. T. @@aut@@ Genty, V. @@aut@@ Goeldi, D. @@aut@@ Gollapinni, S. @@aut@@ Gramellini, E. @@aut@@ Greenlee, H. @@aut@@ Grosso, R. @@aut@@ Guenette, R. @@aut@@ Guzowski, P. @@aut@@ Hackenburg, A. @@aut@@ Hamilton, P. @@aut@@ Hen, O. @@aut@@ Hewes, J. @@aut@@ Hill, C. @@aut@@ Ho, J. @@aut@@ Horton-Smith, G. A. @@aut@@ Hourlier, A. @@aut@@ Huang, E.-C. @@aut@@ James, C. @@aut@@ de Vries, J. Jan @@aut@@ Jiang, L. @@aut@@ Johnson, R. A. @@aut@@ Joshi, J. @@aut@@ Jostlein, H. @@aut@@ Jwa, Y.-J. @@aut@@ Kaleko, D. @@aut@@ Karagiorgi, G. @@aut@@ Ketchum, W. @@aut@@ Kirby, B. @@aut@@ Kirby, M. @@aut@@ Kobilarcik, T. @@aut@@ Kreslo, I. @@aut@@ Li, Y. @@aut@@ Lister, A. @@aut@@ Littlejohn, B. R. @@aut@@ Lockwitz, S. @@aut@@ Lorca, D. @@aut@@ Louis, W. C. @@aut@@ Luethi, M. @@aut@@ Lundberg, B. @@aut@@ Luo, X. @@aut@@ Marchionni, A. @@aut@@ Marcocci, S. @@aut@@ Mariani, C. @@aut@@ Marshall, J. @@aut@@ Martinez Caicedo, D. A. @@aut@@ Mastbaum, A. @@aut@@ Meddage, V. @@aut@@ Mettler, T. @@aut@@ Miceli, T. @@aut@@ Mills, G. B. @@aut@@ Mogan, A. @@aut@@ Moon, J. @@aut@@ Mooney, M. @@aut@@ Moore, C. D. @@aut@@ Mousseau, J. @@aut@@ Murphy, M. @@aut@@ Murrells, R. @@aut@@ Naples, D. @@aut@@ Nienaber, P. @@aut@@ Nowak, J. @@aut@@ Palamara, O. @@aut@@ Pandey, V. @@aut@@ Paolone, V. @@aut@@ Papadopoulou, A. @@aut@@ Papavassiliou, V. @@aut@@ Pate, S. F. @@aut@@ Pavlovic, Z. @@aut@@ Piasetzky, E. @@aut@@ Porzio, D. @@aut@@ Pulliam, G. @@aut@@ Qian, X. @@aut@@ Raaf, J. L. @@aut@@ Rafique, A. @@aut@@ Rochester, L. @@aut@@ Ross-Lonergan, M. @@aut@@ von Rohr, C. Rudolf @@aut@@ Russell, B. @@aut@@ Schmitz, D. W. @@aut@@ Schukraft, A. @@aut@@ Seligman, W. @@aut@@ Shaevitz, M. H. @@aut@@ Sinclair, J. @@aut@@ Smith, A. @@aut@@ Snider, E. L. @@aut@@ Soderberg, M. @@aut@@ Söldner-Rembold, S. @@aut@@ Soleti, S. R. @@aut@@ Spentzouris, P. @@aut@@ Spitz, J. @@aut@@ John, J. St. @@aut@@ Strauss, T. @@aut@@ Sutton, K. @@aut@@ Sword-Fehlberg, S. @@aut@@ Szelc, A. M. @@aut@@ Tagg, N. @@aut@@ Tang, W. @@aut@@ Terao, K. @@aut@@ Thomson, M. @@aut@@ Toups, M. @@aut@@ Tsai, Y.-T. @@aut@@ Tufanli, S. @@aut@@ Usher, T. @@aut@@ Van De Pontseele, W. @@aut@@ Van de Water, R. G. @@aut@@ Viren, B. @@aut@@ Weber, M. @@aut@@ Wei, H. @@aut@@ Wickremasinghe, D. A. @@aut@@ Wierman, K. @@aut@@ Williams, Z. @@aut@@ Wolbers, S. @@aut@@ Wongjirad, T. @@aut@@ Woodruff, K. @@aut@@ Yang, T. @@aut@@ Yarbrough, G. @@aut@@ Yates, L. E. @@aut@@ Zeller, G. P. @@aut@@ Zennamo, J. @@aut@@ Zhang, C. @@aut@@ |
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2019-03-01T00:00:00Z |
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SPR008379025 |
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englisch |
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Adams, C. Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions |
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Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions |
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Adams, C. An, R. Anthony, J. Asaadi, J. Auger, M. Balasubramanian, S. Baller, B. Barnes, C. Barr, G. Bass, M. Bay, F. Bhat, A. Bhattacharya, K. Bishai, M. Blake, A. Bolton, T. Camilleri, L. Caratelli, D. Castillo Fernandez, R. Cavanna, F. Cerati, G. Chen, H. Chen, Y. Church, E. Cianci, D. Cohen, E. Collin, G. H. Conrad, J. M. Convery, M. Cooper-Troendle, L. Crespo-Anadón, J. I. Del Tutto, M. Devitt, A. Diaz, A. Dytman, S. Eberly, B. Ereditato, A. Escudero Sanchez, L. Esquivel, J. Evans, J. J. Fadeeva, A. A. Fleming, B. T. Foreman, W. Furmanski, A. P. Garcia-Gamez, D. Garvey, G. T. Genty, V. Goeldi, D. Gollapinni, S. Gramellini, E. Greenlee, H. Grosso, R. Guenette, R. Guzowski, P. Hackenburg, A. Hamilton, P. Hen, O. Hewes, J. Hill, C. Ho, J. Horton-Smith, G. A. Hourlier, A. Huang, E.-C. James, C. de Vries, J. Jan Jiang, L. Johnson, R. A. Joshi, J. Jostlein, H. Jwa, Y.-J. Kaleko, D. Karagiorgi, G. Ketchum, W. Kirby, B. Kirby, M. Kobilarcik, T. Kreslo, I. Li, Y. Lister, A. Littlejohn, B. R. Lockwitz, S. Lorca, D. Louis, W. C. Luethi, M. Lundberg, B. Luo, X. Marchionni, A. Marcocci, S. Mariani, C. Marshall, J. Martinez Caicedo, D. A. Mastbaum, A. Meddage, V. Mettler, T. Miceli, T. Mills, G. B. Mogan, A. Moon, J. Mooney, M. Moore, C. D. Mousseau, J. Murphy, M. Murrells, R. Naples, D. Nienaber, P. Nowak, J. Palamara, O. Pandey, V. Paolone, V. Papadopoulou, A. Papavassiliou, V. Pate, S. F. Pavlovic, Z. Piasetzky, E. Porzio, D. Pulliam, G. Qian, X. Raaf, J. L. Rafique, A. Rochester, L. Ross-Lonergan, M. von Rohr, C. Rudolf 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. John, J. St. Strauss, T. Sutton, K. Sword-Fehlberg, S. Szelc, A. M. Tagg, N. Tang, W. 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. Wei, H. Wickremasinghe, D. A. Wierman, K. Williams, Z. Wolbers, S. Wongjirad, T. Woodruff, K. Yang, T. Yarbrough, G. Yates, L. E. Zeller, G. P. Zennamo, J. Zhang, C. |
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comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$ar multiplicity distributions observed by microboone to genie model predictions |
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Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions |
abstract |
Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. © The Author(s) 2019 |
abstractGer |
Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. © The Author(s) 2019 |
abstract_unstemmed |
Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity. © The Author(s) 2019 |
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Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions |
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An, R. Anthony, J. Asaadi, J. Auger, M. Balasubramanian, S. Baller, B. Barnes, C. Barr, G. Bass, M. Bay, F. Bhat, A. Bhattacharya, K. Bishai, M. Blake, A. Bolton, T. Camilleri, L. Caratelli, D. Castillo Fernandez, R. Cavanna, F. Cerati, G. Chen, H. Chen, Y. Church, E. Cianci, D. Cohen, E. Collin, G. H. Conrad, J. M. Convery, M. Cooper-Troendle, L. Crespo-Anadón, J. I. Del Tutto, M. Devitt, A. Diaz, A. Dytman, S. Eberly, B. Ereditato, A. Escudero Sanchez, L. Esquivel, J. Evans, J. J. Fadeeva, A. A. Fleming, B. T. Foreman, W. Furmanski, A. P. Garcia-Gamez, D. Garvey, G. T. Genty, V. Goeldi, D. Gollapinni, S. Gramellini, E. Greenlee, H. Grosso, R. Guenette, R. Guzowski, P. Hackenburg, A. Hamilton, P. Hen, O. Hewes, J. Hill, C. Ho, J. Horton-Smith, G. A. Hourlier, A. Huang, E.-C. James, C. de Vries, J. Jan Jiang, L. Johnson, R. A. Joshi, J. Jostlein, H. Jwa, Y.-J. Kaleko, D. Karagiorgi, G. Ketchum, W. Kirby, B. Kirby, M. Kobilarcik, T. Kreslo, I. Li, Y. Lister, A. Littlejohn, B. R. Lockwitz, S. Lorca, D. Louis, W. C. Luethi, M. Lundberg, B. Luo, X. Marchionni, A. Marcocci, S. Mariani, C. Marshall, J. Martinez Caicedo, D. A. Mastbaum, A. Meddage, V. Mettler, T. Miceli, T. Mills, G. B. Mogan, A. Moon, J. Mooney, M. Moore, C. D. Mousseau, J. Murphy, M. Murrells, R. Naples, D. Nienaber, P. Nowak, J. Palamara, O. Pandey, V. Paolone, V. Papadopoulou, A. Papavassiliou, V. Pate, S. F. Pavlovic, Z. Piasetzky, E. Porzio, D. Pulliam, G. Qian, X. Raaf, J. L. Rafique, A. Rochester, L. Ross-Lonergan, M. von Rohr, C. Rudolf 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. John, J. St Strauss, T. Sutton, K. Sword-Fehlberg, S. Szelc, A. M. Tagg, N. Tang, W. 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. Wei, H. Wickremasinghe, D. A. Wierman, K. Williams, Z. Wolbers, S. Wongjirad, T. Woodruff, K. Yang, T. Yarbrough, G. Yates, L. E. Zeller, G. P. Zennamo, J. Zhang, C. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR008379025</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230509121330.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201005s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1140/epjc/s10052-019-6742-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR008379025</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10052-019-6742-3-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Adams, C.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Comparison of %${\varvec{\nu }}_{\varvec{\mu }}-%$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract We measure a large set of observables in inclusive charged current muon neutrino scattering on argon with the MicroBooNE liquid argon time projection chamber operating at Fermilab. We evaluate three neutrino interaction models based on the widely used GENIE event generator using these observables. The measurement uses a data set consisting of neutrino interactions with a final state muon candidate fully contained within the MicroBooNE detector. These data were collected in 2016 with the Fermilab Booster Neutrino Beam, which has an average neutrino energy of %$800~\hbox {MeV}%$, using an exposure corresponding to %$ 5.0\times 10^{19}%$ protons-on-target. The analysis employs fully automatic event selection and charged particle track reconstruction and uses a data-driven technique to separate neutrino interactions from cosmic ray background events. We find that GENIE models consistently describe the shapes of a large number of kinematic distributions for fixed observed multiplicity.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">An, R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Anthony, J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Asaadi, J.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Auger, M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Balasubramanian, S.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Baller, B.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barnes, C.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Barr, G.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bass, M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bay, F.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bhat, A.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bhattacharya, K.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bishai, M.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Blake, A.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bolton, T.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Camilleri, L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Caratelli, D.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Castillo Fernandez, R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cavanna, F.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cerati, G.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, H.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Y.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Church, E.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cianci, D.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cohen, E.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Collin, G. 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