Speaker
Stefano Carrazza
(CERN)
Description
Parton Distribution Functions (PDFs) are a crucial ingredient for
accurate and reliable theoretical predictions for precision
phenomenology at the LHC. The NNPDF approach to the extraction of
Parton Distribution Functions relies on Monte Carlo techniques and
Artificial Neural Networks to provide an unbiased determination of
parton densities with a reliable determination of their uncertainties.
I will discuss the NNPDF methodology in general, the latest NNPDF
global fit (NNPDF3.1) and then present ideas to improve the training
methodology used in the NNPDF fits and related PDFs.
