期刊
PHYSICAL REVIEW D
卷 105, 期 1, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.105.012009
关键词
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资金
- STFC through the Liverpool Big Data Science Centre for Doctoral Training [2021488]
- Institute of Particle Physics Phenomenology, University of Durham
- CC-IN2P3 Computing Center
- Particle Physics Department at Rutherford Appleton Laboratory
- Fermi Research Alliance, LLC (FRA) [DE-AC02-07CH11359]
- Science and Technology Facilities Council [ST/S000879/1] Funding Source: researchfish
This paper presents the first hadronization tune using averaged charged multiplicity data from deuterium and hydrogen bubble chamber experiments, with a complete estimation of parameter uncertainties. A partial tune on deuterium data highlights the tensions between hydrogen and deuterium datasets.
The GENIE neutrino Monte Carlo describes neutrino-induced hadronization with an effective model, known as Andreopoulos-Gallagher-Kehayias-Yang (AGKY), which is interfaced with PYTHIA at high invariant mass. Only the low-mass AGKY model parameters were extracted from hadronic shower data from the FNAL 15 ft and BEBC experiments. In this paper, the first hadronization tune on averaged charged multiplicity data from deuterium and hydrogen bubble chamber experiments is presented, with a complete estimation of parameter uncertainties. A partial tune on deuterium data highlights the tensions between hydrogen and deuterium datasets.
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