Automated lattice data generation

TL;DR

This paper introduces Taxi, a Python workflow manager that automates the tedious process of generating lattice gauge configurations and measuring observables, demonstrated through a practical case study.

Contribution

The paper presents Taxi, a new minimal Python-based tool that automates lattice data generation workflows, reducing manual effort and errors.

Findings

Taxi successfully automates lattice data workflows

Automation reduces manual errors and effort

Case study demonstrates practical effectiveness

Abstract

The process of generating ensembles of gauge configurations (and measuring various observables over them) can be tedious and error-prone when done "by hand". In practice, most of this procedure can be automated with the use of a workflow manager. We discuss how this automation can be accomplished using Taxi, a minimal Python-based workflow manager built for generating lattice data. We present a case study demonstrating this technology.