Self-Organizing Maps Parametrization of Deep Inelastic Structure Functions with Error Determination

Evan Askanazi; Katherine Holcomb; Simonetta Liuti

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Self-Organizing Maps Parametrization of Deep Inelastic Structure Functions with Error Determination

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arxiv 1309.7085 v1 pith:D6XBKQC6 submitted 2013-09-26 hep-ph

Self-Organizing Maps Parametrization of Deep Inelastic Structure Functions with Error Determination

Evan Askanazi , Katherine Holcomb , Simonetta Liuti This is my paper

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keywords deepfunctionsinelasticscatteringself-organizingalternativeanalysisdata

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We present and discuss a new method to extract parton distribution functions from hard scattering processes based on an alternative type of neural network, the Self-Organizing Map. Quantitative results including a detailed treatment of uncertainties are presented within a Next to Leading Order analysis of inclusive electron proton deep inelastic scattering data.

Self-Organizing Maps Parametrization of Deep Inelastic Structure Functions with Error Determination

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