Comparison of $${\varvec{\nu }}_{\varvec{\mu }}-$$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions MicroBooNE Collaboration
Comparison of $${\varvec{\nu }}_{\varvec{\mu }}-$$Ar multiplicity distributions observed by MicroBooNE to GENIE model predictions MicroBooNE Collaboration
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MicroBooNE 观测到的 $${varvec{ u }}_{varvec{mu }}-$$Ar 多重分布与 GENIE 模型预测的比较 MicroBooNE 协作
DOI：
10.1140/epjc/s10052-019-6742-3
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Adams C
中科院分区：
文献类型：
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作者：
Adams C
我们用在费米实验室工作的MicroBooNE液态Ar时间投影室，测量了一大组包含带电电流的Muon-中微子在Ar上的散射。我们使用这些观测数据对三种基于广泛使用的GENIE事件产生器的中微子相互作用模型进行了评估。测量使用的数据集包括中微子与完全包含在MicroBooNE探测器中的最终态介子候选者的相互作用。这些数据是在2016年用费米实验室助推器中微子束收集的，该中微子束的平均中微子能量为800 MeV，使用相当于5.0×10 19个质子对靶的曝光。该分析采用全自动事件选择和带电粒子轨迹重建，并使用数据驱动技术将中微子相互作用与宇宙线背景事件分开。我们发现，精灵模型一致地描述了固定观测多重数的大量运动学分布的形状。
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 800MeV, using an exposure corresponding to 5.0× 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.