Daniel R. Stump

TL;DR: In this paper, a new generation of parton distribution functions with increased precision and quantitative estimates of uncertainties is presented, using a recently developed eigenvector-basis approach to the hessian method, which provides the means to quickly estimate the uncertainties of a wide range of physical processes at these high-energy hadron colliders, based on current knowledge of the parton distributions.

TL;DR: In this article, a method to constrain parton distribution function (PDF) uncertainties in LHC observables, by effectively exploiting PDF-induced correlations with benchmark standard model cross sections, is presented.

TL;DR: Parton distribution functions (PDFs) are crucial ingredients for the calculation of the relevant cross sections for various scattering processes at the Large Hadron Collider (LHC). as mentioned in this paper found new PDFs, which will be important for the data analysis at the LHC Run-2.

TL;DR: In this article, next-to-next-toleading order (NNLO) parton distribution functions (PDFs) from the CTEQ-TEA group were presented, based on essentially the same global data sets used in the CT10 and CT10W NLO analyses.

TL;DR: In this article, the effects of this uncertainty, and of the remaining uncertainties in the NLO QCD theory, on jet cross section comparisons to Run 1b data are examined and the range of contributions still possible from any new physics.