Geoff：粒子加速器控制的通用优化框架和前端

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2025-09-17 DOI:10.1016/j.softx.2025.102335

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

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引用次数: 0

摘要

Geoff是一个Python包的集合，它形成了一个用于粒子加速器控制自动化的框架。随着世界各地的粒子加速器实验室研究机器学习技术，以提高加速器的性能和正常运行时间，多种方法和算法已经出现。Geoff的目的是协调这些方法，并在它们之间进行比较或迁移时尽量减少摩擦。它为优化问题提供了标准化的接口，提供了加速开发的实用程序函数，并提供了将所有内容联系在一起的参考GUI应用程序。Geoff是一个由CERN开发的开源库，作为EURO-LABS项目的一部分，由CERN和GSI合作维护和更新。本文概述了Geoff的设计、特性和当前使用情况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.