Parton distributions for the LHC run II

被引:0
作者
Richard D. Ball
Valerio Bertone
Stefano Carrazza
Christopher S. Deans
Luigi Del Debbio
Stefano Forte
Alberto Guffanti
Nathan P. Hartland
José I. Latorre
Juan Rojo
Maria Ubiali
机构
[1] University of Edinburgh,The Higgs Centre for Theoretical Physics
[2] PH Department,Departament d’Estructura i Constituents de la Matèria
[3] TH Unit,Dipartimento di Fisica
[4] CERN,Niels Bohr International Academy and Discovery Center, Niels Bohr Institute
[5] Universitat de Barcelona,Rudolf Peierls Centre for Theoretical Physics
[6] Università di Milano and INFN — Sezione di Milano,The Cavendish Laboratory
[7] University of Copenhagen,undefined
[8] University of Oxford,undefined
[9] University of Cambridge,undefined
来源
Journal of High Energy Physics | / 2015卷
关键词
QCD Phenomenology;
D O I
暂无
中图分类号
学科分类号
摘要
We present NNPDF3.0, the first set of parton distribution functions (PDFs) determined with a methodology validated by a closure test. NNPDF3.0 uses a global dataset including HERA-II deep-inelastic inclusive cross-sections, the combined HERA charm data, jet production from ATLAS and CMS, vector boson rapidity and transverse momentum distributions from ATLAS, CMS and LHCb, W +c data from CMS and top quark pair production total cross sections from ATLAS and CMS. Results are based on LO, NLO and NNLO QCD theory and also include electroweak corrections. To validate our methodology, we show that PDFs determined from pseudo-data generated from a known underlying law correctly reproduce the statistical distributions expected on the basis of the assumed experimental uncertainties. This closure test ensures that our methodological uncertainties are negligible in comparison to the generic theoretical and experimental uncertainties of PDF determination. This enables us to determine with confidence PDFs at different perturbative orders and using a variety of experimental datasets ranging from HERA-only up to a global set including the latest LHC results, all using precisely the same validated methodology. We explore some of the phenomenological implications of our results for the upcoming 13 TeV Run of the LHC, in particular for Higgs production cross-sections. [graphic not available: see fulltext]
引用
收藏
相关论文
共 270 条
  • [1] Diemoz M(1988)Parton densities from deep inelastic scattering to hadronic processes at super collider energies Z. Phys. C 39 21-undefined
  • [2] Ferroni F(2002)Neural network parametrization of deep inelastic structure functions JHEP 05 062-undefined
  • [3] Longo E(2005)Unbiased determination of the proton structure function F (2) JHEP 03 080-undefined
  • [4] Martinelli G(2007) with faithful uncertainty estimation JHEP 03 039-undefined
  • [5] Forte S(2009)Neural network determination of parton distributions: the nonsinglet case Nucl. Phys. B 823 195-undefined
  • [6] Garrido L(2010)Precision determination of electroweak parameters and the strange content of the proton from neutrino deep-inelastic scattering JHEP 05 075-undefined
  • [7] Latorre JI(2010)Fitting parton distribution data with multiplicative normalization uncertainties Nucl. Phys. B 838 136-undefined
  • [8] Piccione A(2011)A first unbiased global NLO determination of parton distributions and their uncertainties Nucl. Phys. B 849 296-undefined
  • [9] Del Debbio L(2012)Impact of heavy quark masses on parton distributions and LHC phenomenology Nucl. Phys. B 855 153-undefined
  • [10] Del Debbio L(2013)Unbiased global determination of parton distributions and their uncertainties at NNLO and at LO Nucl. Phys. B 867 244-undefined