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CERN Document Server 17 записей найдено  1 - 10следующий  перейти к записи: Поиск длился 0.64 секунд. 
1.
Xsuite: an integrated beam physics simulation framework / Iadarola, Giovanni (CERN) ; Latina, Andrea (CERN) ; Abramov, Andrey (CERN) ; Montanari, Carlo Emilio (CERN) ; Droin, Colas (CERN) ; Di Croce, Davide (Ecole Polytechnique, Lausanne) ; Demetriadou, Despina (CERN) ; Soubelet, Felix (CERN) ; Van der Veken, Frederik (CERN) ; Sterbini, Guido (CERN) et al.
Xsuite is a modular simulation package bringing to a single flexible and modern framework capabilities of different tools developed at CERN in the past decades notably MAD-X Sixtrack Sixtracklib COMBI and PyHEADTAIL. The suite consists of a set of Python modules (Xobjects, Xpart, Xtrack, Xcoll, Xfields, Xdeps) that can be flexibly combined together and with other accelerator-specific and general-purpose python tools to study complex simulation scenarios. [...]
2024 - 4 p. - Published in : JACoW IPAC 2024 (2024) WEPR56 Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.WEPR56
2.
Emittance Growth From Electron Clouds Forming in the LHC Arc Quadrupoles / Paraschou, Konstantinos (CERN) ; Bartosik, Hannes (CERN) ; Deniau, Laurent (CERN) ; Iadarola, Giovanni (CERN) ; Maclean, Ewen (CERN) ; Mether, Lotta (CERN) ; Papaphilippou, Yannis (CERN) ; Pieloni, Tatiana (Ecole Polytechnique, Lausanne) ; Potdevin, Joséphine (Ecole Polytechnique, Lausanne) ; Rumolo, Giovanni (CERN) et al.
Operation of the Large Hadron Collider with proton bunches spaced 25 ns apart favours the formation of electron clouds. In fact, a slow emittance growth is observed in proton bunches at injection energy (450 GeV), showing a bunch-by-bunch signature that is compatible with electron cloud effects. [...]
2024 - 4 p. - Published in : JACoW HB 2023 (2024) 487-490 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.487-490
3.
Optimizing Resonance Driving Terms Using MAD-NG Parametric Maps / Deniau, Laurent (CERN) ; Kostoglou, Sofia (CERN) ; Maclean, Ewen (CERN) ; Paraschou, Konstantinos (CERN) ; Persson, Tobias (CERN) ; Tomás García, Rogelio (CERN)
In 2023, a review of the LHC octupolar resonance driving terms at injection was carried out, motivated by two observations: (i) unwanted losses during the injection process with strongly powered octupoles and (ii) an expected reduction in emittance growth from e-cloud effects in simulations with weaker octupolar resonances. The MAD-NG code was used to simultaneously optimise the main octupolar resonances: 4Qx, 4Qy, and 2Qx-2Qy by adjusting 16 quadrupole families and 16 octupole families, for a total of 32 parameters. [...]
2024 - 4 p. - Published in : JACoW HB 2023 (2024) 483-486 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.483-486
4.
Optics for Landau Damping with Minimized Octupolar Resonances in the LHC / Wenninger, J (CERN) ; Solfaroli, M (CERN) ; Nissinen, T (CERN) ; Hostettler, M (CERN) ; Horney, S (CERN) ; Chudoba, F (CERN) ; Tomás García, Rogelio (CERN) ; Carlier, Felix (CERN) ; Deniau, Laurent (CERN) ; Dilly, Joschua (CERN) et al.
Operation of the Large Hadron Collider (LHC) requires strong octupolar magnetic fields to suppress coherent beam instabilities. The amplitude detuning that is generated by these octupolar magnetic fields brings the tune of individual particles close to harmful resonances, which are mostly driven by the octupolar fields themselves. [...]
2024 - 4 p. - Published in : JACoW HB 2023 (2024) 503-506 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.503-506
5.
Xsuite: an integrated beam physics simulation framework / Iadarola, Giovanni (CERN) ; Abramov, Andrey (CERN) ; Belanger, Philippe (TRIUMF) ; Buffat, Xavier (CERN) ; De Maria, Riccardo (CERN) ; Demetriadou, Despina (CERN) ; Deniau, Laurent (CERN) ; Di Croce, Davide (EPFL, Lausanne, FSL) ; Hermes, Pascal (CERN) ; Kicsiny, Peter (CERN) et al.
Xsuite is a newly developed modular simulation package combining in a single flexible and modern framework the capabilities of different tools developed at CERN in the past decades, notably Sixtrack, Sixtracklib, COMBI and PyHEADTAIL. The suite consists of a set of Python modules (Xobjects, Xpart, Xtrack, Xcoll, Xfields, Xdeps) that can be flexibly combined together and with other accelerator-specific and general-purpose python tools to study complex simulation scenarios. [...]
arXiv:2310.00317.- 2024-03-21 - 8 p. - Published in : JACoW HB 2023 (2024) TUA2I1 Fulltext: document - PDF; 2310.00317 - 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.TUA2I1
6.
MAD-X for Future Accelerators / Persson, Tobias (CERN) ; Burkhardt, Helmut (CERN) ; De Maria, Riccardo (CERN) ; Deniau, Laurent (CERN) ; Høydalsvik, Eirik (CERN) ; Latina, Andrea (CERN) ; Skowroński, Piotr (CERN) ; Tomás García, Rogelio (CERN) ; van Riesen-Haupt, Léon (CERN)
The development of MAD-X was started more than 20 years ago and it still remains the main tool for single particle dynamics for both optics design, error studies as well as for operational model-based software at CERN. In this article, we outline some of the recent development of MAD-X and plans for the future. [...]
2022 - 4 p. - Published in : JACoW IPAC 2022 (2022) 1858-1861 Fulltext: PDF;
In : 13th International Particle Accelerator Conference (IPAC 2022), Bangkok, Thailand, 12 - 17 Jun 2022, pp.1858-1861
7.
MAD-X for Future Accelerators / Persson, T H B (CERN) ; Burkhardt, Helmut (CERN) ; Deniau, Laurent (CERN) ; Latina, Andrea (CERN) ; Skowroński, Piotr (CERN)
The feasibility and performance of the future accelerators must, to a large extent, be predicted by simulation codes. This implies that simulation codes need to include effects that previously played a minor role. [...]
JACoW, 2021 - 4 p. - Published in : JACoW IPAC 2021 (2021) WEPAB028 Fulltext: PDF;
In : 12th International Particle Accelerator Conference (IPAC 2021), Online, 24 - 28 May 2021, pp.WEPAB028
8.
Upgrade of MAD-X for HL-LHC project and FCC studies / Deniau, Laurent (CERN) ; Burkhardt, Helmut (CERN) ; De Maria, Riccardo (CERN) ; Giovannozzi, Massimo (CERN) ; Gläßle, Thomas (Heidelberg U. Hospital) ; Jowett, John (CERN) ; Latina, Andrea (CERN) ; Persson, Tobias (CERN) ; Schmidt, Frank (CERN) ; Shreyber, Irina (CERN) et al.
The design efforts for the High Luminosity upgrade project of the Large Hadron Collider (HL-LHC) and for the FCC-ee studies required significant extensions of the MAD-X code, widely used for designing and simulating particle accelerators. The modelling of synchrotron radiation effects has recently been reviewed, improved, and tested on the lattices of ESRF, LEP, and CLIC Final Focus System [...]
2019 - 7 p. - Published in : 10.18429/JACoW-ICAP2018-TUPAF01 Fulltext from publisher: PDF;
In : 13th International Computational Accelerator Physics Conference (ICAP 2018), Key West, FL, USA, 20 - 24 Oct 2018, pp.TUPAF01
9.
Report from the ABP Computing Working Group (ABP-CWG) activities in 2017-18 / Rumolo, Giovanni (CERN) ; Buffat, Xavier (CERN) ; De Maria, Riccardo (CERN) ; Deniau, Laurent (CERN) ; Iadarola, Giovanni (CERN)
The Accelerators and Beam Physics (ABP) Group is responsible for studying and understanding the beam dynamics over the complete CERN Accelerator Complex through theoretical, simulation and experimental studies. [...]
CERN-ACC-2018-0060.
- 2018. - 11 p.
Full text
10.
Review of CPU and GPU Faddeeva Implementations / Oeftiger, Adrian (CERN ; Ecole Polytechnique, Lausanne) ; Aviral, Anshu (Birla Inst. Tech. Sci.) ; De Maria, Riccardo (CERN) ; Deniau, Laurent (CERN) ; Hegglin, Stefan (ETH, Zurich (main)) ; Li, Kevin (CERN) ; McIntosh, Eric (CERN) ; Moneta, Lorenzo (CERN)
The Faddeeva error function is frequently used when computing electric fields generated by two-dimensional Gaussian charge distributions. Numeric evaluation of the Faddeeva function is particularly challenging since there is no single expansion that converges rapidly over the whole complex domain. [...]
CERN-ACC-2016-193.- 2016 - 4 p. - Published in : 10.18429/JACoW-IPAC2016-WEPOY044 Published version from JACoW: PDF;
In : 7th International Particle Accelerator Conference, Busan, Korea, 8 - 13 May 2016, pp.WEPOY044

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