The neural network approach to parton fitting

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

To appear in the proceedings of "DIS 2005: XIII International Workshop on Deep Inelatic Scattering" (Madison, Wisconsin, April

Scientific paper

We introduce the neural network approach to global fits of parton
distribution functions. First we review previous work on unbiased
parametrizations of deep-inelastic structure functions with faithful estimation
of their uncertainties, and then we summarize the current status of neural
network parton distribution fits.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The neural network approach to parton fitting 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 The neural network approach to parton fitting, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The neural network approach to parton fitting will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-693656

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.