High-energy resummation at the LHC: the case of Drell-Yan processes

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5 pages, Talk given at 10th DESY Workshop on Elementary Particle Theory: Loops and Legs 2010, Worlitz, Germany 25-30 April 201

Scientific paper

10.1016/j.nuclphysbps.2010.08.01

We first review the general framework which enables one to resum high-energy logarithms in hadronic processes, both in the evolution of parton densities and in the coefficient functions. We then present an all-order calculation in perturbative QCD of the inclusive Drell Yan and vector boson production in hadron-hadron collisions, in the limit where centre of mass energy is much bigger than the invariant mass of the final state. Our calculation resums leading non-trivial logarithms in the ratio of these two scales. We also study the phenomenological relevance of the high-energy corrections for Drell-Yan processes at the LHC. We find that the resummation corrects the NNLO result by a few percent, for values of the invariant mass of the lepton pair below 100 GeV. Corrections to W, Z production are expected to be of the same order.

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

High-energy resummation at the LHC: the case of Drell-Yan processes 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 High-energy resummation at the LHC: the case of Drell-Yan processes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and High-energy resummation at the LHC: the case of Drell-Yan processes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-77677

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