NNPDF

Last updated
NNPDF
Developer(s) The NNPDF Collaboration
Stable release
4.0
Type Particle physics
Website nnpdf.mi.infn.it

NNPDF is the acronym used to identify the parton distribution functions from the NNPDF Collaboration. [ citation needed ]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. [1]

Contents

Methodology

The NNPDF Collaboration strategy is summarized in this diagram. General-strategy-evol.jpg
The NNPDF Collaboration strategy is summarized in this diagram.

The NNPDF approach can be divided into four main steps:

The set of 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:

PDF setDIS dataDrell-Yan dataJet dataLHC dataIndependent param. of and Heavy Quark massesNNLO
NNPDF4.0 YesYesYesYesYesYesYes
NNPDF3.1 YesYesYesYesYesYesYes
NNPDF3.0 YesYesYesYesYesYesYes
NNPDF2.3 YesYesYesYesYesYesYes
NNPDF2.2 YesYesYesYesYesYesYes
NNPDF2.1 YesYesYesNoYesYesYes
NNPDF2.0 YesYesYesNoYesNoNo
NNPDF1.2 YesNoNoNoYesNoNo
NNPDF1.0 YesNoNoNoNoNoNo

All PDF sets are available through the LHAPDF interface and in the NNPDF webpage.

References

  1. Miao, Qinghai; Wang, Fei-Yue (2024). Artificial Intelligence for Science (AI4S): Frontiers and Perspectives Based on Parallel Intelligence. Springer Nature. p. 50. ISBN   978-3-031-67419-8.