Exploring nucleon structure with the self-organizing maps algorithm

Evan M. Askanazi; Katherine A. Holcomb; Simonetta Liuti

doi:10.1088/0954-3899/42/3/034030

Exploring nucleon structure with the self-organizing maps algorithm

Evan M. Askanazi
, Katherine A. Holcomb
, Simonetta Liuti

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

We discuss the application of an alternative type of neural network, the self-organizing map to extract parton distribution functions from various hard scattering processes.

Original language	English
Article number	034030
Journal	Journal of Physics G: Nuclear and Particle Physics
Volume	42
Issue number	3
DOIs	https://doi.org/10.1088/0954-3899/42/3/034030
State	Published - 1 Mar 2015
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2015 IOP Publishing Ltd.

Keywords

neural networks
nucleon structure
parton distribution functions

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10.1088/0954-3899/42/3/034030

Cite this

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KW - nucleon structure

KW - parton distribution functions

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Exploring nucleon structure with the self-organizing maps algorithm

Abstract

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Keywords

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