CERN Accelerating science

Article
Title Automated Design and Optimization of the Final Cooling for a Muon Collider
Author(s) Fol, Elena (CERN) ; Rogers, Chris (Rutherford) ; Schieck, Jochen (TU Vienna) ; Schulte, Daniel (CERN) ; Stechauner, Bernd (TU Vienna)
Publication 2022
Number of pages 4
In: JACoW IPAC 2022 (2022) 2358-2361
In: 13th International Particle Accelerator Conference (IPAC 2022), Bangkok, Thailand, 12 - 17 Jun 2022, pp.2358-2361
DOI 10.18429/JACoW-IPAC2022-WEPOMS047
Subject category Accelerators and Storage Rings
Study IMCC
Abstract The desired beam emittance for a Muon collider is several orders of magnitude less than the one of the muon beams produced at the front-end target. Ionization cooling has been demonstrated as a suitable technique for the reduction of the muon beam emittance. Final cooling, as one of the most critical stages of the muon collider complex, necessitates careful design and optimization in order to control the beam dynamics and ensure efficient emittance reduction. We present an optimization framework based on ICool simulation code and application of different optimization algorithms, to automatize the choice of optimal initial muon beam parameters and simultaneous tuning of numerous final cooling components.
Copyright/License CC-BY-3.0

Corresponding record in: Inspire


 レコード 生成: 2023-01-11, 最終変更: 2024-02-13


フルテキスト:
Download fulltext
PDF