Neural simulation-based inference on unbinned top-quark pair data at 13 TeV yields improved gluon PDF precision over traditional binned analyses while incorporating experimental and theoretical uncertainties.
Tailored PDFs for New Physics searches
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Derives that the MC replica method produces a distribution differing from the Bayesian Laplace approximation by a single computable matrix (residual-weighted Hessian), whose sign and magnitude determine over- or under-estimation of uncertainties in nonlinear models.
A global PDF fit to LHC top-pair cross-sections extracts the top quark pole mass indirectly as m_t = 172.80 ± 0.26 GeV.
PDF profiling broadens high-mass Drell-Yan SMEFT limits most for first-generation quark operators and far less for heavier flavours, both with current CMS data and at the HL-LHC.
CJ26 global NLO QCD fit incorporates JLab 6 and 12 GeV DIS data to reduce uncertainties on large-x n/p and d/u ratios by 30-50% and 5-10%.
citing papers explorer
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Proton Structure from Neural Simulation-Based Inference at the LHC
Neural simulation-based inference on unbinned top-quark pair data at 13 TeV yields improved gluon PDF precision over traditional binned analyses while incorporating experimental and theoretical uncertainties.
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Propagating data noise through the fit: the Monte Carlo replica distribution
Derives that the MC replica method produces a distribution differing from the Bayesian Laplace approximation by a single computable matrix (residual-weighted Hessian), whose sign and magnitude determine over- or under-estimation of uncertainties in nonlinear models.
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A Determination of the Top Mass from a Global PDF Analysis
A global PDF fit to LHC top-pair cross-sections extracts the top quark pole mass indirectly as m_t = 172.80 ± 0.26 GeV.
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PDF effects in high-mass Drell-Yan SMEFT analyses across flavour space
PDF profiling broadens high-mass Drell-Yan SMEFT limits most for first-generation quark operators and far less for heavier flavours, both with current CMS data and at the HL-LHC.
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CJ26 Global QCD Analysis with Large-$x$ Jefferson Lab 6 and 12 GeV Data
CJ26 global NLO QCD fit incorporates JLab 6 and 12 GeV DIS data to reduce uncertainties on large-x n/p and d/u ratios by 30-50% and 5-10%.