Collider Inclusive Jet Data and the Gluon Distribution
Jon Pumplin, J. Huston, H.L. Lai, P. M. Nadolsky, Wu-Ki Tung, C.-P., Yuan

TL;DR
This paper updates the gluon distribution in parton distribution functions by incorporating recent collider jet data, introducing a new Hessian matrix method for uncertainty analysis.
Contribution
It provides a new global fit of parton distributions including recent jet data and introduces a novel Hessian matrix re-diagonalization technique for uncertainty quantification.
Findings
Updated gluon distribution with recent collider data
New method for uncertainty analysis using re-diagonalized Hessian matrix
Enhanced understanding of data compatibility in global fits
Abstract
Inclusive jet production data are important for constraining the gluon distribution in the global QCD analysis of parton distribution functions. With the addition of recent CDF and D0 Run II jet data, we study a number of issues that play a role in determining the up-to-date gluon distribution and its uncertainty, and produce a new set of parton distributions that make use of that data. We present in detail the general procedures used to study the compatibility between new data sets and the previous body of data used in a global fit. We introduce a new method in which the Hessian matrix for uncertainties is ``rediagonalized'' to obtain eigenvector sets that conveniently characterize the uncertainty of a particular observable.
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