ALOHA: Automatic Libraries Of Helicity Amplitudes for Feynman diagram computations

TL;DR

The paper introduces ALOHA, a Python-based tool that automatically generates helicity amplitude libraries from Feynman rules, supporting multiple programming languages and facilitating Feynman diagram computations.

Contribution

It provides an automated, language-independent method to produce Feynman amplitude routines from any Lagrangian, streamlining quantum field theory calculations.

Findings

Automates the generation of helicity amplitude libraries from Feynman rules.

Supports multiple programming languages including Fortran, C++, and Python.

Demonstrates applications within the MadGraph5 framework.

Abstract

We present an application that automatically writes the Helas library corresponding to the Feynman rules of any Lagrangian, renormalizable or not, in quantum field theory. The code, written in Python, takes the Universal FeynRules Output as an input and produces the complete set of routines (wave-functions and amplitudes) that are needed for the computation of Feynman diagrams at leading as well as at higher orders. The representation is language independent and outputs in Fortran, C++, Python are currently available. A few key sample applications implemented in the MadGraph5 framework are presented.