| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1846780 | Nuclear Physics B - Proceedings Supplements | 2009 | 4 Pages |
Abstract
We present the first NNPDF full set of Parton Distribution Functions from a comprehensive DIS analysis. This approach, combining a Monte Carlo sampling of the probability measure in the space of PDFs with the use of neural networks as interpolating functions, provides a faithful and statistically sound determination of the uncertainty in parton distributions. The features of the fit and the results are discussed in details as well as some preliminary phenomenological analysis.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Nuclear and High Energy Physics
