N=4 Supersymmetric Yang-Mills theory in soft-collinear effective theory

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

21 pages, 6 figures: Comments on the power counting of the scalar-fermion interaction are added

Scientific paper

10.1103/PhysRevD.83.016015

We formulate N=4 supersymmetric Yang-Mills theory in terms of soft-collinear effective theory. The effective Lagrangian in soft-collinear effective theory is developed according to the power counting by a small parameter \eta \sim p_{\perp}/Q. All the particles in this theory are in the adjoint representation of the SU(N) gauge group, and we derive the collinear gauge-invariant Lagrangian in the adjoint and fundamental representations respectively. We consider collinear and ultrasoft Wilson lines in this theory, and show the ultrasoft factorization of the collinear Lagrangian by redefining the collinear fields with the use of the ultrasoft Wilson lines. The vertex correction for a vector fermion current at one loop is explicitly presented as an example to illustrate how the computation is performed in the effective theory.

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

N=4 Supersymmetric Yang-Mills theory in soft-collinear effective theory 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 N=4 Supersymmetric Yang-Mills theory in soft-collinear effective theory, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and N=4 Supersymmetric Yang-Mills theory in soft-collinear effective theory will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-220410

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