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Exploring nucleon structure with the self-organizing maps algorithm

delete2015-02-05
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E
Evan Askanazi
K
Katherine A Holcomb
S
Simonetta Liuti *
DOI:10.1088/0954-3899/42/3/034030delete
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Abstract

Abstract

En 中文
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.
Keywords:
parton distribution functions
neural networks
nucleon structure
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

J
Journal of Physics G: Nuclear and Particle Physics
IF:
3.5
Papers:
6.8K
Citations:
7.7K

Organization

U
University of Virginia
Scholars:
3.0W
Papers: 2.7W
Citations: 4.1W
Cited Papers

Cited Papers

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