Self-Organizing Maps and Parton Distributions Functions

Details Self-Organizing Maps and Parton Distributions Functions Self-Organizing Maps and Parton Distributions Functions

2010-08-25

arxiv.org/abs/1008.4197v1

Physics

High Energy Physics

High Energy Physics - Phenomenology

8 pages, 4 figures, to appear in the proceedings of "Workshop on Exclusive Reactions at High Momentum Transfer (IV)", Jefferso

Scientific paper

We present a new method to extract parton distribution functions from high energy experimental data based on a specific type of neural networks, the Self-Organizing Maps. We illustrate the features of our new procedure that are particularly useful for an anaysis directed at extracting generalized parton distributions from data. We show quantitative results of our initial analysis of the parton distribution functions from inclusive deep inelastic scattering.

Affiliated with

Also associated with

No associations

Rating

Self-Organizing Maps and Parton Distributions Functions 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 Self-Organizing Maps and Parton Distributions Functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-Organizing Maps and Parton Distributions Functions will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-524902