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Comparison of ν μ - Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions: MicroBooNE Collaboration

Published version
Peer-reviewed

Type

Article

Change log

Authors

Adams, C 
An, R 
Anthony, J 
Asaadi, J 
Auger, M 

Abstract

jats:titleAbstract</jats:title>jats:pWe 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 jats:inline-formulajats:alternativesjats:tex-math$$800~\hbox {MeV}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> mml:mrow mml:mn800</mml:mn> <mml:mspace /> mml:mtextMeV</mml:mtext> </mml:mrow> </mml:math></jats:alternatives></jats:inline-formula>, using an exposure corresponding to jats:inline-formulajats:alternativesjats:tex-math$$ 5.0\times 10^{19}$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> mml:mrow mml:mn5.0</mml:mn> mml:mo×</mml:mo> mml:msup mml:mn10</mml:mn> mml:mn19</mml:mn> </mml:msup> </mml:mrow> </mml:math></jats:alternatives></jats:inline-formula> 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.</jats:p>

Description

Keywords

5106 Nuclear and Plasma Physics, 5107 Particle and High Energy Physics, 51 Physical Sciences

Journal Title

European Physical Journal C

Conference Name

Journal ISSN

1434-6044
1434-6052

Volume Title

79

Publisher

Springer Science and Business Media LLC
Sponsorship
Science and Technology Facilities Council (ST/M002934/1)
Science and Technology Facilities Council (ST/M004007/1)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (unknown)
Science and Technology Facilities Council (ST/R000174/1)