Parton distribution benchmarking with LHC data

By R. Ball, Stefano Carrazza, Luigi Del Debbio, S. Forte, Jun Gao, Nathan Hartland, J. Huston, Pavel M. Nadolsky, Juan Rojo, D. Stump and 2 more. 2012

134 citations recorded by the source corpus.

A bstractWe present a detailed comparison of the most recent sets of NNLO PDFs from the ABM, CT, HERAPDF, MSTW and NNPDF collaborations. We compare parton distributions at low and high scales and parton luminosities relevant for LHC phenomenology. We study the PDF dependence of LHC benchmark inclusive cross sections and differential distributions for electroweak boson and jet production in the cases in which the experimental covariance matrix is available. We quantify the agreement between data and theory by computing the χ2 for each data set with all the various PDFs. PDF comparisons are performed consistently for common values of the strong coupling. We also present a benchmark comparison of jet production at the LHC, comparing the results from various available codes and scale settings. Finally, we discuss the implications of the updated NNLO PDF sets for the combined PDF+αs uncertainty in the gluon fusion Higgs production cross section.

Subfields: Artificial Intelligence, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/cf5174bd7bfb2abb8ab6f87581e96bd1bba3d3da

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Jun Gao
  2. Juan Rojo
  3. Jesper R. Christiansen
  4. L. Harland–Lang
  5. S. Forte
  6. Peter Z. Skands
  7. G. Salam
  8. J. Ferrando

In Nuclear and High Energy Physics

  1. Atlas Collaboration
  2. Cms Collaboration
  3. Juan Rojo
  4. Jun Gao
  5. L. Harland–Lang
  6. S. Forte
  7. G. Salam
  8. Jesper R. Christiansen

Citations in the corpus