Minimisation strategies for the determination of parton density functions

Articolo

Data di Pubblicazione:

2018

Citazione:

Minimisation strategies for the determination of parton density functions / S. Carrazza, N. Hartland. - In: JOURNAL OF PHYSICS. CONFERENCE SERIES. - ISSN 1742-6588. - 1085:5(2018), pp. 052007.1-052007.5. ((Intervento presentato al 18. convegno International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2017 tenutosi a Seattle nel 2017 [10.1088/1742-6596/1085/5/052007].

Abstract:

We discuss the current minimisation strategies adopted by research projects involving the determination of parton distribution functions (PDFs) and fragmentation functions (FFs) through the training of neural networks. We present a short overview of a proton PDF determination obtained using the covariance matrix adaptation evolution strategy (CMA-ES) optimisation algorithm. We perform comparisons between the CMA-ES and the standard nodal genetic algorithm (NGA) adopted by the NNPDF collaboration.

Tipologia IRIS:

01 - Articolo su periodico

Elenco autori: