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

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

1995-02-22

arxiv.org/abs/hep-ph/9502367v1

Phys.Lett. B354 (1995) 473-480

Physics

High Energy Physics

High Energy Physics - Phenomenology

9 pages, latex, 2 figures not included.

Scientific paper

10.1016/0370-2693(95)00608-N

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.

Affiliated with

Also associated with

No associations

Rating

JET ANALYSIS BY NEURAL NETWORKS IN HIGH ENERGY HADRON-HADRON COLLISIONS does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with JET ANALYSIS BY NEURAL NETWORKS IN HIGH ENERGY HADRON-HADRON COLLISIONS, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and JET ANALYSIS BY NEURAL NETWORKS IN HIGH ENERGY HADRON-HADRON COLLISIONS will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-30313