CERN Accelerating science

Article
Title Development of numerical tools for intra-beam scattering modelling
Author(s) Soubelet, Felix (CERN) ; Bartosik, Hannes (CERN) ; Kostoglou, Sofia (CERN) ; Paraschou, Konstantinos (CERN) ; Zampetakis, Michail (CERN) ; Iadarola, Giovanni (CERN)
Publication 2024
Number of pages 4
In: JACoW IPAC 2024 (2024) MOPS37
In: 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.MOPS37
DOI 10.18429/JACoW-IPAC2024-MOPS37
Subject category Accelerators and Storage Rings
Abstract Intra-beam Scattering (IBS) is one of the main mechanisms of emittance blowup and performance deterioration in the Large Hadron Collider (LHC) accelerator complex. It is particularly relevant since the recent upgrades across the injector complex to reach the high brightness beams of the High Luminosity LHC (HL-LHC) era have been implemented. Several studies have focused on developing an accurate formalism to describe IBS, and the integration of IBS in codes such as, e.g. MAD-X, is widely used in the accelerator physics community. This study presents the latest developments of a Python package for IBS simulations, recently developed at CERN, meant for integration with the Xsuite ecosystem. The new capabilities of the Python code are detailed and a thorough benchmark against existing codes is presented, for various machines of the CERN accelerator complex in different configurations.
Copyright/License CC-BY-4.0

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 Záznam vytvorený 2024-10-04, zmenený 2024-10-04


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