Data set diagonalization in a global fit

Abstract

The analysis of data sometimes requires fitting many free parameters in a theory to a large number of data points. Questions naturally arise about the compatibility of specific subsets of the data, such as those from a particular experiment or those based on a particular technique, with the rest of the data. Questions also arise about which theory parameters are determined by specific subsets of the data. I present a method to answer both of these kinds of questions. The method is illustrated by applications to recent work on measuring parton distribution functions.

Published version

References in corpus (4)

• Parton distributions for the LHC
• Implications of CTEQ global analysis for collider observables
• Measurement of the inclusive jet cross section in $p\bar{p}$ collisions at $\sqrt{s}=1.96\mathrm{TeV}$
• Collider Inclusive Jet Data and the Gluon Distribution

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• Charm quark mass dependence in a global QCD analysis
• Collider Inclusive Jet Data and the Gluon Distribution
• Parton distributions need representative sampling
• Parametrization dependence and Delta Chi-squared in parton distribution fitting
• PDF Profiling Using the Forward-Backward Asymmetry in Neutral Current Drell-Yan Production
• Experimental consistency in parton distribution fitting
• Lepton-Charge and Forward-Backward Asymmetries in Drell-Yan Processes for Precision Electroweak Measurements and New Physics Searches
• Determining the helicity structure of the nucleon at the Electron Ion Collider in China
• Power counting and renormalization group invariance in the subtracted kernel method for the two-nucleon system
• Reduction of PDF uncertainty in the measurement of the weak mixing angle at the ATLAS experiment
• Progress in CTEQ/TEA global QCD analysis