Comparison of {varvec{nu }}_{varvec{mu }}-Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions

C Adams,J I Crespo-Anadón ,D Goeldi,A M Szelc,G P Zeller,O Hen ,M R Convery ,G B Cerati ,B Eberly,A Marchionni,D Caratelli ,L Camilleri,Ž Pavlović ,P Guzowski,R Guénette ,H Chen ,C Mariani ,A C Smith ,T Wongjirad,O Palamara,S F Pate,S Wolbers,H Jöstlein ,M H Shaevitz,W Ketchum,M A Thomson ,A Bhat ,M Luethi,Gabriel Collin ,J Hewes,G Pulliam,J Spitz,S R Soleti ,D Naples,Y.-J Jwa,J M Conrad ,H Greenlee,J Marshall ,F Bay,P Nienaber,A Lister ,Y Chen ,D Porzio,K Woodruff,Z Williams,B R Littlejohn,D Devitt ,J St John,T Kobilarcik,L E Yates ,B Baller,A Dı́az ,P Spentzouris ,Colton Hill ,V Genty,J Esquivel,D Lorca,R Murrells,R G Van De Water,P Hamilton ,G Yarbrough,N Tagg ,J Sinclair ,W Foreman,E.-C Huang ,G T Garvey,A Rafique,K Sutton,M Bishai,Y T Tsai ,J Zennamo,X Qian ,B T Fleming,A Mastbaum,G Karagiorgi,C Barnes ,B Russell,T Bolton ,J Asaadi,J Joshi ,A.a Fadeeva ,B Kirby ,A Mogan,J Mousseau,E Gramellini,W Seligman ,Kolahal Bhattacharya ,J Anthony ,G A Horton-Smith,M Murphy ,V Paolone,V Pandey ,D Kaleko,C James ,D Cianci ,K Terao ,A Papadopoulou ,W Tang ,L Jiang ,G Barr ,S Dytman ,S Söldner-Rembold ,B Lundberg,A Ereditato ,M Mooney ,S Gollapinni,D A Martínez Caicedo ,R A Johnson ,J Jan De Vries ,Lynn Rochester ,H Wei,T Mettler,M Kirby ,M Weber ,T Miceli,E Cohen,J Nowak ,J L Raaf,A Hackenburg,L Escudero ,D A Wickremasinghe,D Schmitz ,T Yang,R Grosso ,M Ross-Lonergan,A Blake ,E L Snider ,Y Li,L Cooper-Troendle,I Kreslo,D García-Gámez ,S Balasubramanian,V Meddage,S Sword-Fehlberg,A Schukraft,J Moon ,G B Mills,X Luo ,S Marcocci,C Rudolf Von Rohr,Justin J Evans ,Johnny C Ho ,R Castillo Fernández ,T Strauss ,M Bass,F Cavanna,S Lockwitz,E Church,M Del Tutto,E Piasetzky,B Viren,T Usher ,V Papavassiliou,W C Louis,R An,A P Furmanski,M Soderberg,M Auger ,S Tufanli,K Wierman,C D Moore ,A Hourlier,M Toups,W Van De Pontseele,C Zhang

doi:10.1140/epjc/s10052-019-6742-3

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 5.0times 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.

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