CERN Accelerating science

CERN Document Server 4 záznamov nájdených  Hľadanie trvalo 0.87 sekúnd. 
1.
MuCol Milestone Report No. 5: Preliminary Parameters / MuCoL Collaboration
This document is comprised of a collection of updated preliminary parameters for the key parts of the muon collider. [...]
arXiv:2411.02966.
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Fermilab Library Server - Fulltext - Fulltext
2.
Initial design of a proton complex for the Muon Collider / Johannesson, Sofia (ESS, Lund) ; Lombardi, Alessandra (CERN) ; Gorzawski, Arkadiusz (ESS, Lund) ; Kelliher, David (Rutherford Appleton Laboratory) ; Laface, Emanuele (ESS, Lund) ; Vojskovic, Isabella (ESS, Lund) ; Milas, Natalia (ESS, Lund) ; Machida, Shinji (Rutherford Appleton Laboratory) ; Gilardoni, Simone (CERN)
The proton complex is the first piece in the Muon Collider, it comprises a high power acceleration section, a compressor and a target delivery system. For the International Muon Collider Collaboration we are investigating the possibility of having a full energy 5-GeV linac followed by an accumulator and a compressor ring and finally a target delivery system. [...]
2024 - 4 p. - Published in : JACoW IPAC 2024 (2024) WEPR24 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.WEPR24
3.
Experience with Computer-Aided Optimizations in LINAC4 and PSB at CERN / Skowroński, Piotr (CERN) ; Fraser, Matthew (CERN) ; Vojskovic, Isabella (CERN ; Chalmers U. Tech.)
Accelerator optimization is routinely performed with the help of computer algorithms that fully automate these tasks. However, their efficiency, speed, and time to implement varies greatly depending on the algorithms used. [...]
2022 - 4 p. - Published in : JACoW IPAC 2022 (2022) 945-948 Fulltext: PDF;
In : 13th International Particle Accelerator Conference (IPAC 2022), Bangkok, Thailand, 12 - 17 Jun 2022, pp.945-948
4.
Test of Machine Learning at the CERN LINAC4 / Kain, Verena (CERN) ; Bruchon, Niky (CERN) ; Hirlaender, Simon (CERN) ; Madysa, Nico (CERN) ; Skowroński, Piotr (CERN) ; Valentino, Gianluca (U. Malta) ; Vojskovic, Isabella (CERN)
The CERN H$^-$ linear accelerator, LINAC4, served as a test bed for advanced algorithms during the CERN Long Shutdown 2 in the years 2019/20. One of the main goals was to show that reinforcement learning with all its benefits can be used as a replacement for numerical optimization and as a complement to classical control in the accelerator control context. [...]
2022 - 5 p. - Published in : JACoW HB 2021 (2022) 181-185 Fulltext: PDF;
In : 64th ICFA Advanced Beam Dynamics Workshop on High Intensity and High Brightness Hadron Beams (HB 2021), Batavia, Illinois, United States, 4 - 9 Oct 2021, pp.181-185

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