CERN Accelerating science

Article
Title A Python Package to Compute Beam-Induced Heating in Particle Accelerators and Applications
Author(s) Sito, Leonardo (CERN) ; Giordano, Francesco (CERN) ; Rumolo, Giovanni (CERN) ; Salvant, Benoit (CERN) ; Zannini, Carlo (CERN) ; de la Fuente, Elena (CERN)
Publication 2024
Number of pages 4
In: JACoW HB 2023 (2024) 611-614
In: 68th ICFA Advanced Beam Dynamics workshop on high-Intensity and High-Brightness Hadron Beams (HB 2023), CERN, Geneva, Switzerland, 9 - 13 Oct 2023, pp.611-614
DOI 10.18429/JACoW-HB2023-THBP52
Subject category Accelerators and Storage Rings
Abstract High-energy particle beams interact electromagnetically with their surroundings when they travel inside an accelerator. These interactions may cause beam-induced heating of the accelerator’s components, which could eventually lead to outgassing, equipment degradation and physical damage. The expected beam-induced heating can be related to the beam coupling impedance, an electromagnetic property of every accelerator device. Accounting for beam-induced heating is crucial both at the design phase of an accelerator component and for gaining an understanding of devices¿ failures. In this paper, an in-house developed Python tool to compute beam-induced heating due to impedance is introduced. The different features and capabilities will be showcased and applied to real devices in the LHC and the injector chain.
Copyright/License © 2024-2025 the author(s) (License: CC-BY-3.0)

Corresponding record in: Inspire


 記錄創建於2024-06-15,最後更新在2024-06-15


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