Infrared Regularization
Mostrando 1-4 de 4 artigos, teses e dissertações.
-
1. Multiloop calculations with implicit regularization in massless theories
We establish a systematic way to calculate multiloop amplitudes of infrared safe massless models with Implicit Regularization (IR), with a direct cancelation of the fictitious mass introduced by the procedure. The ultraviolet content of such amplitudes have a simple structure and its separation permits the identification of all the potential symmetry violati
Brazilian Journal of Physics. Publicado em: 2010-06
-
2. Analyzing dynamical gluon mass generation
We study the necessary conditions for obtaining infrared finite solutions from the Schwinger-Dyson equation governing the dynamics of the gluon propagator. The equation in question is set up in the Feynman gauge of the background field method, thus capturing a number of desirable features. Most notably, and in contradistinction to the standard formulation, t
Brazilian Journal of Physics. Publicado em: 2007-03
-
3. O potencial nucleon-nucleon e a troca de dois píons relativística / Nucleon-nucleon potential and the relativistic exchange of two pions
This work is devoted to the construction of a two-pion Exchange nucleon-nucleon potential in the framework of the relativist chiral perturbation theory, formulated by Becher and Leutwyler. In their study of pion-nucleon scattering they developed a method to regain the Power counting rules while keeping Lorentz invariance. These authors also Drew attention to
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 21/08/2003
-
4. Inferencia de perfis verticais de temperatura utilizando uma tecnica interativa implicita de inversao / Retrieval of vertical temperature profiles in the atmosphere using an interative implicit inversion technique
In this work, we present an iterative implicit inversion method (MIII) to retrieve vertical temperature profiles based on the mathematical inversion of the radiative transfer equation (RTE). The inverse problem is formulated as a nonlinear constrained optimization problem. A regularization term is added to the objective function with the help of a Lagrange m
Publicado em: 1998