Numerical Stochastic Perturbation Theory and Gradient Flow in {\phi}^4 Theory
Mattia Dalla Brida, Marco Garofalo, and Anthony D. Kennedy

TL;DR
This paper explores novel numerical stochastic perturbation methods applied to gradient flow observables in {}^4 theory, aiming to improve computational techniques in quantum field theory.
Contribution
It introduces new numerical stochastic perturbation techniques and applies them to gradient flow observables in {}^4 theory, expanding computational tools in quantum field analysis.
Findings
Preliminary results demonstrate the feasibility of the new methods.
Gradient flow observables can be effectively computed using the proposed techniques.
The methods show promise for more efficient perturbative calculations.
Abstract
In this contribution we present an exploratory study of several novel methods for numerical stochastic perturbation theory. For the investigation we consider observables defined through the gradient flow in the simple {\phi}^4 theory.
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Taxonomy
TopicsStochastic processes and financial applications · Fluid Dynamics and Turbulent Flows · Gas Dynamics and Kinetic Theory
