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CERN Document Server Намерени са 8 записа  Търсенето отне 0.63 секунди. 
1.
CONTINUOUS DATA-DRIVEN CONTROL OF THE GTS-LHC ION SOURCE AT CERN / Kuchler, Detlef (CERN) ; Kain, Verena (CERN) ; Bruchon, Niky ; Rodriguez Mateos, Borja (Universitat Politecnica Catalunya (ES)) ; Schenk, Michael (CERN)
Recent advances with the CERN infrastructure for machine learning allow to deploy state-of-the-art data-driven control algorithms for stabilising and optimising particle accelerator systems. [...]
CERN-ACC-NOTE-2024-0023. - 2024
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2.
Impedance and thermal studies of the CERN SPS wire scanners and mitigation of wire heating / de la Fuente, Elena (CERN) ; Papazoglou, I (CERN) ; Sito, Leonardo (CERN) ; Andreazza, William (CERN) ; Antuono, Chiara (CERN) ; Bruchon, N (CERN) ; Calaga, Rama (CERN) ; Carra, Federico (CERN) ; Emery, J (CERN) ; Harrison, Anthony (CERN) et al.
All wires of the four CERN SPS rotational wirescanners broke when increasing the beam intensity towards the target for the LHC Injector Upgrade in 2023. Impedance and thermal studies were immediately launched, with simulations and measurements indicating that beam induced heating from resonant modes on the thin wire could be sufficient to cause these breakages. [...]
2024 - 4 p. - Published in : JACoW IPAC 2024 (2024) WEPG29 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.WEPG29
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3.
Beam Performance with the LHC Injectors Upgrade / zannini, C (CERN) ; Wegner, R (CERN) ; Vollinger, C (CERN) ; Veness, R (CERN) ; Velotti, F (CERN) ; Sullivan, M (CERN) ; Steerenberg, R (CERN) ; Spierer, A (CERN) ; Skowronski, P (CERN) ; Sito, L (CERN) et al.
The LHC Injectors Upgrade (LIU) project was put in place between 2010 and 2021 to increase the intensity and brightness in the LHC injectors to match the challenging requirements of the High-Luminosity LHC (HL-LHC) project, while ensuring reliable operation of the injectors complex up to the end of the HL-LHC era (ca. 2040). [...]
2024 - 8 p. - Published in : JACoW HB 2023 (2024) 1-8 Fulltext: PDF;
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.1-8
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4.
Operational Tool for Automatic Setup of Controlled Longitudinal Emittance Blow-Up in the CERN SPS / Bruchon, Niky (CERN) ; Karpov, Ivan (CERN) ; Madysa, Nico (CERN ; Darmstadt, GSI) ; Papotti, Giulia (CERN) ; Quartullo, Danilo (CERN)
The controlled longitudinal emittance blow-up is necessary to ensure the stability of high-intensity LHC-type beams in the CERN SPS. It consists of diffusing the particles in the bunch core by injecting a bandwidth-limited noise into the beam phase loop of the main 200 MHz RF system. [...]
2023 - 6 p. - Published in : JACoW ICALEPCS 2023 (2023) TUPDP086 Fulltext: PDF;
In : 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2023), Cape Town, South Africa, 7 - 13 Oct 2023, pp.TUPDP086
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5.
Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL / Hirlaender, Simon (Salzburg U.) ; Bruchon, Niky (CERN)
Reinforcement learning holds tremendous promise in accelerator controls. [...]
arXiv:2012.09737. - 13 p.
Fulltext
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6.
Towards the Automatic Setup of Longitudinal Emittance Blow-Up in the CERN SPS / Bruchon, Niky (CERN) ; Karpov, Ivan (CERN) ; Madysa, Nico (CERN) ; Papotti, Giulia (CERN) ; Quartullo, Danilo (CERN) ; Zisou, Charilaos (Aristotle U., Thessaloniki ; CERN)
Controlled longitudinal emittance blow-up in the CERN SPS is necessary to stabilize high-intensity beams for the High-Luminosity LHC (HL-LHC) by increasing the synchrotron frequency spread. The process consists of injecting bandwidth-limited noise into the main RF phase loop to diffuse particles in the core of the bunch. [...]
2022 - 4 p. - Published in : JACoW IPAC 2022 (2022) 949-952 Fulltext: PDF;
In : 13th International Particle Accelerator Conference (IPAC 2022), Bangkok, Thailand, 12 - 17 Jun 2022, pp.949-952
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7.
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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8.
Sample-efficient reinforcement learning for CERN accelerator control / Kain, Verena (CERN) ; Hirlander, Simon (CERN) ; Goddard, Brennan (CERN) ; Velotti, Francesco Maria (CERN) ; Zevi Della Porta, Giovanni (CERN) ; Bruchon, Niky (CMFD, Trieste) ; Valentino, Gianluca (Malta U.)
Numerical optimization algorithms are already established tools to increase and stabilize the performance of particle accelerators. These algorithms have many advantages, are available out of the box, and can be adapted to a wide range of optimization problems in accelerator operation. [...]
2020 - 12 p. - Published in : Phys. Rev. Accel. Beams 23 (2020) 124801 Fulltext: PDF;
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7 Bruchon, Niky
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