D
Daniel R. Stump
Researcher at Michigan State University
Publications - 97
Citations - 12216
Daniel R. Stump is an academic researcher from Michigan State University. The author has contributed to research in topics: Parton & Quantum chromodynamics. The author has an hindex of 30, co-authored 95 publications receiving 11270 citations. Previous affiliations of Daniel R. Stump include University of North Florida.
Papers
More filters
Journal ArticleDOI
New generation of parton distributions with uncertainties from global QCD analysis
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.
Journal ArticleDOI
Implications of CTEQ global analysis for collider observables
Pavel Nadolsky,H. L. Lai,H. L. Lai,Qing-Hong Cao,Joey Huston,Jon Pumplin,Daniel R. Stump,W. K. Tung,W. K. Tung,C.-P. Yuan +9 more
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.
Journal ArticleDOI
New parton distribution functions from a global analysis of quantum chromodynamics
Sayipjamal Dulat,Sayipjamal Dulat,Tie-Jiun Hou,Jun Gao,Marco Guzzi,Joey Huston,Pavel Nadolsky,Jon Pumplin,Carl Schmidt,Daniel R. Stump,C.-P. Yuan +10 more
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.
Journal ArticleDOI
CT10 next-to-next-to-leading order global analysis of QCD
Jun Gao,Marco Guzzi,Joey Huston,H. L. Lai,Zhao Li,Pavel Nadolsky,Jon Pumplin,Daniel R. Stump,C.-P. Yuan,C.-P. Yuan +9 more
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.
Journal ArticleDOI
Inclusive jet production, parton distributions, and the search for new physics
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.