A shared virtual machine framework for EPICS hands-on training

Facilities relying on collaboratively developed software projects, like the Experimental Physics and Industrial Control System (EPICS), often face challenges in ensuring consistent skill levels and efficient onboarding of staff. This paper introduces a new framework for creating reproducible pre-configured virtual machine (VM) environments, specifically designed for hands-on EPICS training. A key benefit of this framework is its ability to establish shared, reusable, general training modules. Such shared resources are highly valuable for collaborations, as they provide a standardized platform for skill development, reduce redundant training efforts, cultivate a common understanding of EPICS mechanisms, and ultimately strengthen collective knowledge within and across institutions.

Publication Details

Journal
JACOW
Published
2025-12-05
DOI
https://doi.org/10.18429/jacow-icalepcs2025-tumr001
Primary Topic
Experimental Learning in Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

A shared virtual machine framework for EPICS hands-on training

JACOW
Experimental Learning in Engineering
article

A shared virtual machine framework for EPICS hands-on training

article en

Abstract

Facilities relying on collaboratively developed software projects, like the Experimental Physics and Industrial Control System (EPICS), often face challenges in ensuring consistent skill levels and efficient onboarding of staff. This paper introduces a new framework for creating reproducible pre-configured virtual machine (VM) environments, specifically designed for hands-on EPICS training. A key benefit of this framework is its ability to establish shared, reusable, general training modules. Such shared resources are highly valuable for collaborations, as they provide a standardized platform for skill development, reduce redundant training efforts, cultivate a common understanding of EPICS mechanisms, and ultimately strengthen collective knowledge within and across institutions.

JACOW
Openalex Percentile: Top 36%
Experimental Learning in Engineering
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A shared virtual machine framework for EPICS hands-on training · JACOW (2025) | TGRS Research Map | TGRS