Contents
NNPDF
NNPDF is the acronym used to identify the parton distribution functions from the NNPDF Collaboration. NNPDF parton densities are extracted from global fits to data based on a combination of a Monte Carlo method for uncertainty estimation and the use of neural networks as basic interpolating functions.
Methodology
The NNPDF approach can be divided into four main steps: The set of N_{rep} PDF sets (trained neural networks) provides a representation of the underlying PDF probability density, from which any statistical estimator can be computed.
Example
The image below shows the gluon at small-x from the NNPDF1.0 analysis, available through the LHAPDF interface
Releases
The NNPDF releases are summarised in the following table: All PDF sets are available through the LHAPDF interface and in the NNPDF webpage.
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