CERN Accelerating science

CERN Document Server 找到 47 笔记录  1 - 10下一个最後  跳到记录: 检索需时 1.25 秒. 
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
2.
Slow extracted spill ripple control in the CERN SPS using adaptive Bayesian optimisation / Kain, Verena (CERN) ; Effinger, Ewald (CERN) ; Follin, Fabio (CERN) ; Velotti, Francesco (CERN) ; Fraser, Matthew (CERN) ; Schenk, Michael (CERN) ; Madysa, Nico (Darmstadt, GSI) ; Arrutia Sota, Pablo Andreas (CERN)
The CERN Super Proton Synchrotron (SPS) offers slow-extracted, high-intensity proton beams at 400 GeV/c for 3 fixed targets in the CERN North Experimental Area (NA) with a spill length of about 5 seconds. Since first commissioning in the late seventies, the NA has seen a steady increase in users, many of which requiring improved spill quality control. [...]
2024 - 4 p. - Published in : JACoW IPAC 2024 (2024) TUPS55 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.TUPS55
3.
First operational experience with data-driven hysteresis compensation for the main dipole magnets of the CERN SPS / Lu, Anton (CERN ; Vienna, Tech. U.) ; Kain, Verena (CERN) ; Petrone, Carlo (CERN) ; Di Capua, Vincenzo (CERN) ; Schenk, Michael (CERN) ; Zannini, Carlo (CERN)
Magnetic hysteresis, eddy currents, and manufacturing imperfections pose significant challenges for beam operation in multi-cycling synchrotrons. Addressing the dynamic dependency of magnetic fields on cycling history is a current limitation for control room tools using existing models. [...]
2024 - 4 p. - Published in : JACoW IPAC 2024 (2024) MOPS66 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.MOPS66
4.
Performance Improvement Studies of the Fixed Target Beams along the CERN Injector Chain / Prebibaj, Tirsi (CERN) ; Asvesta, Foteini (CERN) ; Bartosik, Hannes (CERN) ; Damerau, Heiko (CERN) ; Fraser, Matthew Alexander (CERN) ; Di Giovanni, Gian Piero (CERN) ; Huschauer, Alexander (CERN) ; Li, Kevin Shing Bruce (CERN) ; Schenk, Michael (CERN) ; Velotti, Francesco Maria (CERN)
Within the LHC Injectors Upgrade (LIU) project, LHC injectors received major upgrades that resulted in an unprecedented beam brightness. In the framework of the Physics Beyond Colliders (PBC) study, the full potential of the upgraded injectors is being explored for the improvement of the Fixed Target (FT) beams as well. [...]
CERN-PBC-CONF-2024-009.- Geneva : CERN, 2024 - 4. - Published in : JACoW IPAC2024 (2024) THPC14 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.THPC14
5.
Bunch-by-bunch Tune Shift Studies for LHC-type Beams in the CERN SPS / Mases Solé, Ingrid (CERN ; Goethe U., Frankfurt (main)) ; Bartosik, Hannes (CERN) ; Paraschou, Konstantinos (CERN) ; Schenk, Michael (CERN) ; Zannini, Carlo (CERN)
After the implementation of major upgrades as part of the LHC Injector Upgrade Project (LIU), the Super Proton Synchrotron (SPS) delivers high intensity bunch trains with 25 ns bunch spacing to the Large Hadron Collider (LHC). These beams are exposed to several collective effects in the SPS, such as beam coupling impedance, space charge and electron cloud, leading to relatively large bunch-by-bunch coherent and incoherent tune shifts. [...]
2024 - 5 p. - Published in : JACoW HB 2023 (2024) 194-198 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.194-198
6.
Performance of the Ion Chain at the CERN Injector Complex and Transmission Studies During the 2023 Slip Stacking Commissioning / Slupecki, Maciej (CERN) ; Albright, Simon (CERN) ; Alemany-Fernández, Reyes (CERN) ; Angoletta, Maria Elena (CERN) ; Argyropoulos, Theodoros (CERN) ; Bartosik, Hannes (CERN) ; Baudrenghien, Philippe (CERN) ; Bellodi, Giulia (CERN) ; Bozzolan, Michele (CERN) ; Bruce, Roderik (CERN) et al.
The 2023 run has been decisive for the LHC Ion Injector Complex. It demonstrated the capability of producing full trains of momentum slip stacked lead ions in the SPS. [...]
2024 - 4 p. - Published in : JACoW HB 2023 (2024) 418-421 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.418-421
7.
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
8.
Quantum Fuzzy Inference Engine for Particle Accelerator Control / Acampora, Giovanni (Naples U. ; INFN, Naples) ; Grossi, Michele (CERN) ; Schenk, Michael (CERN) ; Schiattarella, Roberto (Naples U. ; INFN, Naples)
Recently, quantum computing has been proven as an ideal theory for the design of fuzzy inference engines, thanks to its capability to efficiently solve the rule explosion problem. In this scenario, a quantum fuzzy inference engine (QFIE) was proposed as a quantum algorithm able to generate an exponential computational advantage over conventional fuzzy inference engines. [...]
2024 - 13 p. - Published in : IEEE Trans. Quantum Eng. 5 (2024) 1-13 Fulltext: PDF;
9.
Hybrid actor-critic algorithm for quantum reinforcement learning at CERN beam lines / Schenk, Michael (CERN) ; Combarro, Elías F. (U. Oviedo (main)) ; Grossi, Michele (CERN) ; Kain, Verena (CERN) ; Li, Kevin Shing Bruce (CERN) ; Popa, Mircea-Marian (Bucharest, Polytechnic Inst.) ; Vallecorsa, Sofia (CERN)
Free energy-based reinforcement learning (FERL) with clamped quantum Boltzmann machines (QBM) was shown to significantly improve the learning efficiency compared to classical Q-learning with the restriction, however, to discrete state-action space environments. In this paper, the FERL approach is extended to multi-dimensional continuous state-action space environments to open the doors for a broader range of real-world applications. [...]
arXiv:2209.11044.- 2024-02-21 - 17 p. - Published in : Quantum Sci. Technol. 9 (2024) 025012 Fulltext: Publication - PDF; 2209.11044 - PDF;
10.
Multi-objective extremum seeking to control drifts in the transverse beam splitting efficiency of the multi-turn extraction at the CERN proton synchrotron / Uden, Cédric (CERN) ; Huschauer, Alexander (CERN) ; Pahl, Hannes (CERN) ; Schenk, Michael (CERN) ; Madysa, Nico (CERN) ; Kain, Verena (CERN)
Time-varying fluctuations of the intensity sharing between the islands and the core of the beam extracted via the CERN Proton Synchrotron (PS) Multi-Turn Extraction are the main effects that require manual adjustment for this beam type. To mitigate this, the application of an online controller is explored to further enhance both operational autonomy of the accelerator and physics performance. [...]
2023 - 4 p. - Published in : JACoW IPAC 2023 (2023) TUPA159 Fulltext: PDF;
In : 14th International Particle Accelerator Conference (IPAC 2023), Venice, Italy, 7 - 12 May 2023, pp.TUPA159

CERN Document Server : 找到 47 笔记录   1 - 10下一个最後  跳到记录:
参见:相似的作者
32 Schenk, M
2 Schenk, M.
5 Schenk, Markus
您想得到有关这检索条件的最新结果吗?
建立您的 电邮警报 或订阅 RSS feed.
没有寻找到什么? 尝试在以下的服务器查寻:
Schenk, Michael 在 Amazon
Schenk, Michael 在 CERN EDMS
Schenk, Michael 在 CERN Intranet
Schenk, Michael 在 CiteSeer
Schenk, Michael 在 Google Books
Schenk, Michael 在 Google Scholar
Schenk, Michael 在 Google Web
Schenk, Michael 在 IEC
Schenk, Michael 在 IHS
Schenk, Michael 在 INSPIRE
Schenk, Michael 在 ISO
Schenk, Michael 在 KISS Books/Journals
Schenk, Michael 在 KISS Preprints
Schenk, Michael 在 NEBIS
Schenk, Michael 在 SLAC Library Catalog
Schenk, Michael 在 Scirus