Speaker
Dr
Andy Buckley
(University of Glasgow)
Description
The current PDF4LHC recommendation to estimate uncertainties due to
parton distribution functions (PDFs) in theoretical predictions for LHC
processes involves the combination of separate predictions computed
using PDF sets from different groups, each of which comprises a
relatively large number of either Hessian eigenvectors or Monte Carlo
(MC) replicas. We present a strategy for the statistical combination of
individual PDF sets, followed by different reduction algorithms to end
up with a small number of either Hessian eigenvectors or MC replicas. We illustrate our strategy with the combination of the recent NNPDF3.0,
CT14 and MMHT14 NNLO PDF sets.
Primary author
Dr
Andy Buckley
(University of Glasgow)
