Theoretical formalism of radiative jet energy loss in a finite size dynamical QCD medium

Physics – Nuclear Physics – Nuclear Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

40 pages, 14 figures

Scientific paper

10.1103/PhysRevC.80.064909

The computation of radiative energy loss in a finite size QCD medium with dynamical constituents is a key ingredient for obtaining reliable predictions for jet quenching in ultra-relativistic heavy ion collisions. We here present a theoretical formalism for the calculation of the first order in opacity radiative energy loss of a quark jet traveling through a finite size dynamical QCD medium. We show that, while each individual contribution to the energy loss is infrared divergent, the divergence is naturally regulated once all diagrams are taken into account. Finite size effects are shown to induce a non-linear path length dependence of the energy loss, recovering both the incoherent Gunion-Bertsch limit, as well as destructive Landau-Pomeanchuk-Migdal limit. Finally, our results suggest a remarkably simple general mapping between energy loss expressions for static and dynamical QCD media.

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

Theoretical formalism of radiative jet energy loss in a finite size dynamical QCD medium 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 Theoretical formalism of radiative jet energy loss in a finite size dynamical QCD medium, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Theoretical formalism of radiative jet energy loss in a finite size dynamical QCD medium will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-64846

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