Journals of Accelerator Conferences Website (JACoW)
JACoW
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proceedings of accelerator conferences held around the world
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| URL | https://doi.org/10.18429/JACoW-IPAC2026-MOP7082 |
|---|---|
| Title | The first fully automated analysis of the Hardware Commissioning tests for superconducting circuits at the LHC |
| Authors |
|
| Abstract | The superconducting magnet circuits of the Large Hadron Collider (LHC) at CERN undergo a commissioning campaign at regular intervals, referred to as Hardware Commissioning (HWC), to validate magnet powering and protection functions. During each campaign, more than 1,500 circuits must be commissioned, requiring the execution and analysis of several thousand powering tests. Historically, this process relied on legacy or manual tools, resulting in high workload and sometimes inconsistent results. To streamline the validation process, a Python-based automated analysis framework has been developed within the Signal Monitoring (SigMon) project over the past two years. The 2026 HWC campaign marked the first time this automated analysis was applied to all powering tests across the superconducting magnet circuits of the LHC. This paper describes the SigMon analysis framework, reports on the 2026 HWC campaign, evaluates the impact of automation, and presents key circuit performance findings. |
| Paper | download: MOP7082.pdf |
| Cite | BibTeX, LaTeX, Text/Word, RIS, EndNote |
| Conference | 17th International Particle Accelerator Conference |
| Series | |
| Location | Deauville, France |
| Date | 17-22 May 2026 |
| Publisher | JACoW Publishing, Geneva, Switzerland |
| Editorial Board | Editorial Board |
| Online ISBN | 978-3-95450-252-3 |
| Online ISSN | 2673-5350 |
| Received | 29 April 2026 |
| Revised | 03 May 2026 |
| Accepted | 21 May 2026 |
| Issued | 20 July 2026 |
| DOI | 10.18429/JACoW-IPAC2026-MOP7082 |
| Pages | 914-917 |
| Copyright | Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |