PyR@TE 2: A Python tool for computing RGEs at two-loop
Florian Lyonnet, Ingo Schienbein

TL;DR
PyR@TE 2 is an advanced Python tool that automates the derivation of two-loop renormalization group equations for arbitrary gauge theories, incorporating new features like kinetic mixing and improved group theory capabilities.
Contribution
The paper introduces PyR@TE 2, a significantly enhanced version of the tool, with new features such as kinetic mixing, a new group theory module, and the ability to handle complex Lagrangians and representations.
Findings
Successfully derived RGEs for a model with an uncalculated two-loop set (SM+complex triplet).
Implemented two-loop RGEs for scalar and fermion anomalous dimensions.
Enabled exporting RGEs to C++ for faster numerical solutions.
Abstract
Renormalization group equations are an essential tool for the description of theories accross different energy scales. Even though their expressions at two-loop for an arbitrary gauge field theory have been known for more than thirty years, deriving the full set of equations for a given model by hand is very challenging and prone to errors. To tackle this issue, we have introduced in [1] a Python tool called PyR@TE; Python Renormalization group equations @ Two-loop for Everyone. With PyR@TE, it is easy to implement a given Lagrangian and derive the complete set of two-loop RGEs for all the parameters of the theory. In this paper, we present the new version of this code, PyR@TE 2, which brings many new features and in particular it incorporates kinetic mixing when several gauge groups are involved. In addition, the group theory part has been greatly improved as we…
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