Quick search Find article
Quick search
Find article

Subtraction method for NLO corrections in Monte-Carlo event generators for leptoproduction

John Collins1

Show affiliations


In the case of the gluon-fusion process in deep-inelastic leptoproduction, I explicitly show how to incorporate NLO corrections in a Monte-Carlo event generator by a subtraction method. I calculate the parton densities to be used by the event generator in terms of MSbar densities. The method is generalizable. A particular motivation for treating the gluon-fusion process is to treat diffractive deep-inelastic scattering properly, since in diffractive scattering the gluon density dominates the quark densities. I also propose a modified algorithm for treating parton kinematics in event generators; the new algorithm results in much simpler formulae for the NLO corrections. A disadvantage of the new method is that some of the generated events may have negative weights. However, an adjustable cut-off function is present in the formalism, and this permits a renormalization-group-like transformation that can be used to at least reduce the proportion of events with negative weights.


 
An erratum page was added to the end of the published paper on 17 August 2000.
Keywords

Deep Inelastic Scattering

QCD

NLO Computations

PACS

13.66.De Lepton production in e-e+ interactions

14.70.Dj Gluons

13.60.Hb Total and inclusive cross sections (including deep-inelastic processes)

14.65.-q Quarks

12.38.-t Quantum chromodynamics

Subjects

Particle physics and field theory

Dates

Issue 05 ( 1 May 2000)

Received 12 January 2000, accepted for publication 2 May 2000

Published 19 May 2000



Related review articles

What's this?
View review articles related to this research to gain an insight into the key trends in this subject area. Related review articles are selected based on PACS/MSC codes, and are no more than three years old.

  1. Exotic charmonium
  2. Quantum interference of particles and resonances

View by subject




Export







Please login to access our web services, or create an account if you don't yet have one.

You must have cookies enabled in your web browser to be able to login.

Username
Password

Forgotten your password? Get a new one here.