Identification of a sample of e+e- -> qq Events For the Precise Measurement of Alpha_S in High Energy Electron Positron Colliders

Physics – High Energy Physics – High Energy Physics - Experiment

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, Phyzzx, 7 eps figures, need psfig-nora.tex

Scientific paper

Based on the PYTHIA physics simulation package, and a fast simulation of the proposed detector for the Next Linear Collider, a set of cuts is identified which leads to a sample of e+e- -> qq events appropriate for the precise measurement of alpha_s in e+e- annihilation at sqrt(s) = 500 GeV/c^2. Using these cuts, the systematic uncertainty on alpha_s associated with correcting for selection cut biases and remaining non-e+e- -> qq (q ^= t) contamination is expected to be less than +/- 1%. This work was done as part of a study of the prospects for the precise measurement of alpha_s at future High Energy Physics facilities, undertaken for the 1996 Snowmass Workshop on New Directions in High Energy Physics.

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

Identification of a sample of e+e- -> qq Events For the Precise Measurement of Alpha_S in High Energy Electron Positron Colliders 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 Identification of a sample of e+e- -> qq Events For the Precise Measurement of Alpha_S in High Energy Electron Positron Colliders, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Identification of a sample of e+e- -> qq Events For the Precise Measurement of Alpha_S in High Energy Electron Positron Colliders will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-623549

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