| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1833040 | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 2006 | 4 Pages |
Abstract
We will show an application of neural networks to extract informations on the structure of hadrons. A Monte Carlo over experimental data is performed to correctly reproduce data errors and correlations. A neural network is then trained on each Monte Carlo replica via a genetic algorithm. Results on the proton and deuteron structure functions and on the nonsinglet parton distribution will be shown.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Instrumentation
Authors
Andrea Piccione, Luigi Del Debbio, Stefano Forte, José I. Latorre, Joan Rojo,