Work

Geoff: The generic optimization framework & frontend for particle accelerator controls

Year: 2025

Type: software-paper

Abstract: Geoff is a collection of Python packages that form a framework for automation of particle accelerator controls. With particle accelerator laboratories around the world researching machine learning techniques to improve accelerator performance and uptime, a multitude of approaches and algorithms have emerged. The purpose of Geoff is to harmonize these approaches and to minimize friction when comparing or migrating between them. It provides standardized interfaces for optimization problems, utility functions to speed up development, and a reference GUI application that ties everything together. Geoff is an open-source library developed at CERN and maintained and updated in collaboration between CERN and GSI as part of the EURO-LABS project. This paper gives an overview over Geoff’s design, features, and current usage.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102335

Authors: P. Madysa, S. Appel, V. Kain, M. Schenk

Institutions: GSI Helmholtz Centre for Heavy Ion Research, European Organization for Nuclear Research

Language: English

Topic: Particle accelerators and beam dynamics

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,200

Funders: CERN, European Commission, HORIZON EUROPE Framework Programme, HORIZON EUROPE Research Infrastructures