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arXiv · hep-ph/9502367

JET ANALYSIS BY NEURAL NETWORKS IN HIGH ENERGY HADRON-HADRON COLLISIONS

P. De Felice·G. Nardulli·G. Pasquariello
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Abstract

We study the possibility to employ neural networks to simulate jet clustering procedures in high energy hadron-hadron collisions. We concentrate our analysis on the Fermilab Tevatron energy and on the $k_\bot$ algorithm. We consider both supervised multilayer feed-forward network trained by the backpropagation algorithm and unsupervised learning, where the neural network autonomously organizes the events in clusters.

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P. De Felice, G. Nardulli, G. Pasquariello. 1995-02-22. JET ANALYSIS BY NEURAL NETWORKS IN HIGH ENERGY HADRON-HADRON COLLISIONS. https://doi.org/10.1016/0370-2693(95)00608-n

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