Experimental consistency in parton distribution fitting

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

30 pages; 7 figures

Scientific paper

10.1103/PhysRevD.81.074010

The recently developed "Data Set Diagonalization" method (DSD) is applied to measure compatibility of the data sets that are used to determine parton distribution functions (PDFs). Discrepancies among the experiments are found to be somewhat larger than is predicted by propagating the published experimental errors according to Gaussian statistics. The results support a tolerance criterion of $\Delta\chi^2 \approx 10$ to estimate the 90% confidence range for PDF uncertainties. No basis is found in the data sets for the much larger $\Delta\chi^2$ values that are in current use; though it will be necessary to retain those larger values until improved methods can be developed to take account of systematic errors in applying the theory. The DSD method also measures how much influence each experiment has on the global fit, and identifies experiments that show significant tension with respect to the others. The method is used to explore the contribution from muon scattering experiments, which are found to exhibit the largest discrepancies in the current fit.

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

Experimental consistency in parton distribution 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 Experimental consistency in parton distribution fitting, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Experimental consistency in parton distribution fitting will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-11354

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