6533b831fe1ef96bd12986d7
RESEARCH PRODUCT
EPPS16 - First nuclear PDFs to include LHC data
K. J. EskolaP. PaakkinenH. PaukkunenCarlos A. Salgadosubject
Uncertainty estimates Uncertainty analysisHigh Energy Physics::LatticeLead collisionsNuclear TheoryHigh Energy Physics::PhenomenologyFOS: Physical sciencesNuclear parton distribution functions114 Physical sciencesHigh Energy Physics - ExperimentHigh Energy Physics - PhenomenologyHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)Production dataHigh Energy Physics::ExperimentNuclear modificationNuclear ExperimentNuclear effectsBosonsDistribution functionsGlobal analysisInelastic scattering Deeply inelastic scatteringsdescription
We present results of our recent EPPS16 global analysis of NLO nuclear parton distribution functions (nPDFs). For the first time, dijet and heavy gauge boson production data from LHC proton-lead collisions have been included in a global fit. Especially, the CMS dijets play an important role in constraining the nuclear effects in gluon distributions. With the inclusion of also neutrino-nucleus deeply-inelastic scattering and pion-nucleus Drell-Yan data and a proper treatment of isospin-corrected data, we were able to free the flavor dependence of the valence and sea quark nuclear modifications for the first time. This gives us less biased, yet larger, flavor by flavor uncertainty estimates. The EPPS16 analysis indicates no tension between the data sets used, which supports the validity of collinear factorization and universal nPDFs for nuclear hard-collision processes in the kinematical range studied.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-10-16 |