Presents a linear PDF parametrization from dimensionality-reduced neural network bases for efficient Bayesian inference, tested via multi-closure tests on synthetic deep inelastic scattering data.
Precise Measurement of Dimuon Production Cross-Sections in muon neutrino Fe and muon antineutrino Fe Deep Inelastic Scattering at the Tevatron
5 Pith papers cite this work. Polarity classification is still indexing.
abstract
We present measurements of the semi-inclusive cross-sections for muon neutrino and muon antineutrino-nucleon deep inelastic scattering interactions with two oppositely charged muons in the final state. These events dominantly arise from production of a charm quark during the scattering process. The measurement was obtained from the analysis of 5102 muon neutrino-induced and 1458 muon antineutrino-induced events collected with the NuTeV detector exposed to a sign-selected beam at the Fermilab Tevatron. We also extract a cross-section measurement from a re-analysis of 5030 muon neutrino-induced and 1060 muon antineutrino-induced vents collected from the exposure of the same detector to a quad-triplet beam by the CCFR experiment. The results are combined to obtain the most statistically precise measurement of neutrino-induced dimuon production cross-sections to date. These measurements should be of broad use to phenomenologists interested in the dynamics of charm production, the strangeness content of the nucleon, and the CKM matrix element Vcd.
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UNVERDICTED 5representative citing papers
Proposes construction of the Forward Physics Facility at the HL-LHC with four complementary detectors to exploit forward neutrinos and new-particle fluxes for neutrino, QCD, astroparticle, and dark-matter measurements.
New CT18 PDFs at NLO and NNLO from global fit to HERA plus LHC jet, Drell-Yan, top-pair and Z data, with Hessian errors, Lagrange-multiplier studies, and alternate sets for data tensions and scale choices.
A color-dipole-based Monte Carlo generator interfaced with Pythia8 predicts larger transverse momenta and higher yields of angularly separated dimuons in neutrino-proton collisions than standard Pythia.
The paper reports incremental updates to MMHT PDFs with emphasis on strange quark extraction from improved NNLO cross sections, extended parameterization, and correlated uncertainty treatment.
citing papers explorer
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A linear PDF model for Bayesian inference
Presents a linear PDF parametrization from dimensionality-reduced neural network bases for efficient Bayesian inference, tested via multi-closure tests on synthetic deep inelastic scattering data.
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Letter of Intent: The Forward Physics Facility
Proposes construction of the Forward Physics Facility at the HL-LHC with four complementary detectors to exploit forward neutrinos and new-particle fluxes for neutrino, QCD, astroparticle, and dark-matter measurements.
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New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC
New CT18 PDFs at NLO and NNLO from global fit to HERA plus LHC jet, Drell-Yan, top-pair and Z data, with Hessian errors, Lagrange-multiplier studies, and alternate sets for data tensions and scale choices.
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Predictions for dimuon production in high-energy neutrino-proton collisions using the color dipole model
A color-dipole-based Monte Carlo generator interfaced with Pythia8 predicts larger transverse momenta and higher yields of angularly separated dimuons in neutrino-proton collisions than standard Pythia.
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Updates of PDFs in the MMHT framework
The paper reports incremental updates to MMHT PDFs with emphasis on strange quark extraction from improved NNLO cross sections, extended parameterization, and correlated uncertainty treatment.