EPPS16 – First nuclear PDFs to include LHC data

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.
Main Authors
Format
Conferences Conference paper
Published
2017
Series
Publication in research information system
Publisher
Sissa
Original source
https://pos.sissa.it/314/180/pdf
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202202081432Käytä tätä linkitykseen.
Review status
Peer reviewed
ISSN
1824-8039
Language
English
Published in
POS Proceedings of Science
Is part of publication
EPS-HEP2017 : The European Physical Society Conference on High Energy Physics
Citation
  • Eskola, K.J., Paakkinen, P., Paukkunen, H. T., & Salgado, C.A. (2017). EPPS16 – First nuclear PDFs to include LHC data. In EPS-HEP2017 : The European Physical Society Conference on High Energy Physics. Sissa. POS Proceedings of Science, 180. https://pos.sissa.it/314/180/pdf
License
CC BY-NC-ND 4.0Open Access
Funder(s)
Research Council of Finland
Research Council of Finland
Funding program(s)
Academy Project, AoF
Academy Research Fellow, AoF
Akatemiahanke, SA
Akatemiatutkija, SA
Research Council of Finland
Additional information about funding
We have received funding from the Academy of Finland, Project 297058 of K.J.E. and 308301 of H.P.; the European Research Council grant HotLHC ERC-2011-StG-279579(Conselleria de Educacion) - H.P. and C.A.S. are part of the Strategic Unit AGRUP2015/11. P.P. acknowledges the financial support from the Magnus Ehrnrooth Foundation. ; Ministerio de Ciencia e Innovación of Spain and FEDER, project FPA2014-58293-C2-1-P; Xunta de Galicia
Copyright© Copyright owned by the authors

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