@inproceedings{6740723c42d84806aae7bef42fb66070,
title = "Automatic retuning of superconducting linacs using LightWin",
abstract = "Reliability is an important feature for high-power particle accelerators. A significant proportion of beam trips come from the failure of superconducting accelerating cavities or their associated systems. Failure compensation is a technique that can limit the impact of these failures and therefore increase beam availability. Finding ideal compensation settings is, however, a difficult challenge that involves beam dynamics and multi-objective optimization, and which raises very different issues according to the linac under study. In this study, we present the LightWin tool to automatically find compensation settings in linacs. We study different compensation strategies on the MINERVA superconducting linac and present our first results on the SPIRAL2 superconducting linac.",
keywords = "Reliability, ADS (Accelerator Driven Systems), MINERVA, SPIRAL2",
author = "A. Pla{\c c}ais and Fr{\'e}d{\'e}ric Bouly and E. Froidefond and Lagniel, \{J. M.\} and G. Normand and Orduz, \{A. K.\} and B. Yee-Rendon and \{De Keukeleere\}, Lennert and \{Van de Walle\}, Jarno",
note = "Score=3 Publisher Copyright: Content from this work may be used under the terms of the CC BY 4.0 licence ({\textcopyright} 2024).; 32nd Linear Accelerator Conference, LINAC 2024 ; Conference date: 25-08-2024 Through 30-08-2024",
year = "2024",
doi = "10.18429/JACoW-LINAC2024-THXA001",
language = "English",
series = "Proceedings - Linear Accelerator Conference, LINAC",
publisher = "JACoW Publishing",
pages = "563--568",
editor = "Kelly Jaje",
booktitle = "Proceedings of the 32nd Linear Accelerator Conference, LINAC 2024",
}