GALUGA, a Monte Carlo program for two-photon processes in e+e- collisions

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Latex, 29 pages, 7 figures, uses 12pt.sty, epsfig.sty, amsbsy.sty

Scientific paper

A Monte Carlo program is presented for the computation of the most general cross section for two-photon production in e+e- collisions at fixed two-photon invariant mass W. Functions implemented for the five gamma* gamma* structure functions include three models of the total hadronic cross section and the lepton-pair production cross section. Prospects of a structure-function determination through a study of the azimuthal dependence between the two scattering planes are outlined. All dependences on the electron mass and the photon virtualities Q_i^2 are fully kept. Special emphasis is put on a numerically stable evaluation of all variables over the full Q_i^2 range from Q_{i\min}^2 \sim m_e^2 (W/\sqrt{s})^4 \ll m_e^2 up to Q_{i\max}^2 \sim s. A comparison is made with an existing Monte Carlo program for lepton-pair production and an equivalent-photon approximation for hadronic cross sections.

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

GALUGA, a Monte Carlo program for two-photon processes in e+e- 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 GALUGA, a Monte Carlo program for two-photon processes in e+e- collisions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and GALUGA, a Monte Carlo program for two-photon processes in e+e- collisions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-696025

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