Abstract
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. © Copyright owned by the author(s).
Original language | English |
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Article number | 180 |
Journal | PoS Proceedings of Science |
Volume | 314 |
Number of pages | 5 |
ISSN | 1824-8039 |
Publication status | Published - 2017 |
MoE publication type | A4 Article in conference proceedings |
Event | European Physical Society Conference on High Energy Physics - Venice, Italy Duration: 5 Jul 2017 → 12 Jul 2017 http://eps-hep2017.eu/ |
Fields of Science
- Bosons
- Distribution functions
- Inelastic scattering, Deeply inelastic scatterings
- Global analysis
- Lead collisions
- Nuclear effects
- Nuclear modification
- Nuclear parton distribution functions
- Production data
- Uncertainty estimates, Uncertainty analysis
- 114 Physical sciences