pith. machine review for the scientific record.
sign in

arxiv: 1101.0538 · v1 · pith:ZFXSBUSLnew · submitted 2011-01-03 · ✦ hep-ph · hep-ex

The PDF4LHC Working Group Interim Recommendations

Michiel Botje , Jon Butterworth , Amanda Cooper-Sarkar , Albert De Roeck , Joel Feltesse , Stefano Forte , Alexander Glazov , Joey Huston
show 3 more authors
Ronan McNulty Torbjorn Sjostrand Robert Thorne
This is my paper
classification ✦ hep-ph hep-ex
keywords crossgroupinterimpdf4lhcworkingavailablenotepdfs
0
0 comments X
read the original abstract

This note provides an interim summary of the current recommendations of the PDF4LHC working group for the use of parton distribution functions (PDFs) and of PDF uncertainties at the LHC, for cross section and cross section uncertainty calculations. It also contains a succinct user guide to the computation of PDF uncertainties and correlations using available PDF sets. A companion note (the PDF4LHC Working Group Interim Report) summarizes predictions for benchmark cross sections at the LHC (7 TeV) at NLO using modern PDFs currently available from 6 PDF fitting groups.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

    hep-ex 2012-07 accept novelty 10.0

    A neutral boson at 126.0 +/- 0.4(stat) +/- 0.4(sys) GeV is observed at 5.9 sigma significance, compatible with the Standard Model Higgs boson.

  2. Search for Higgs bosons produced in association with a high-energy photon via vector-boson fusion and decaying to a pair of $b$-quarks in the ATLAS detector

    hep-ex 2025-09 accept novelty 6.0

    ATLAS reports a new measurement of the Higgs signal strength in the VBF plus photon channel with H to bb decay, obtaining 0.2 ± 0.7 using an improved neural-network-based analysis on 133 fb^{-1} of data.