EPPS16 – First nuclear PDFs to include LHC data
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
Julkaistu sarjassa
POS Proceedings of SciencePäivämäärä
2017Tekijänoikeudet
© Copyright owned by the authors
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.
Julkaisija
SissaKuuluu julkaisuun
EPS-HEP2017 : The European Physical Society Conference on High Energy PhysicsISSN Hae Julkaisufoorumista
1824-8039
Alkuperäislähde
https://pos.sissa.it/314/180/pdfJulkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/104165502
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiahanke, SA; Akatemiatutkija, SALisätietoja rahoituksesta
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![showless](/themes/JYX2//images/showless.png)
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