Parametrizing Compton form factors with neural networks

Kumericki, Kresimir; Mueller, Dieter; Schafer, Andreas

doi:10.1016/j.nuclphysbps.2012.03.020

arXiv 2011-12-08 DOI 10.1016/j.nuclphysbps.2012.03.020 0 views

Parametrizing Compton form factors with neural networks

Kumericki, Kresimir · Mueller, Dieter · Schafer, Andreas

High Energy Physics - Phenomenology Data Analysis, Statistics and Probability

Original · EN

We describe a method, based on neural networks, of revealing Compton form factors in the deeply virtual region. We compare this approach to standard least-squares model fitting both for a simplified toy case and for HERMES data.

English translation

This paper has no Arabic translation yet. Be the first: it takes a few seconds, and the result is stored for every future reader.

Read on arXiv