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SixTrack V and runtime environment
/ De Maria, R (CERN) ; Andersson, J (CERN) ; Berglyd Olsen, V K (CERN) ; Field, L (CERN) ; Giovannozzi, M (CERN) ; Hermes, P D (CERN) ; Høimyr, N (CERN) ; Kostoglou, S (CERN) ; Iadarola, G (CERN) ; Mcintosh, E (CERN) et al.
SixTrack is a single-particle tracking code for high-energy circular accelerators routinely used at CERN for the Large Hadron Collider (LHC), its luminosity upgrade (HL-LHC), the Future Circular Collider (FCC) and the Super Proton Synchrotron (SPS) simulations. The code is based on a 6D symplectic tracking engine, which is optimized for long-term tracking simulations and delivers fully reproducible results on several platforms. [...]
2020 - 17 p.
- Published in : Int. J. Mod. Phys. A 34 (2020) 1942035
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SixTrack project: Status, runtime environment, and new developments
/ De Maria, Riccardo (CERN) ; Andersson, Joel (CERN) ; Field, Laurence (CERN) ; Giovannozzi, Massimo (CERN) ; Hermes, Pascal (CERN) ; Hoimyr, Nils (CERN) ; Iadarola, Giovanni (CERN) ; Kostoglou, Sofia (CERN) ; Maclean, Ewen (CERN ; U. Malta) ; McIntosh, Eric (CERN) et al.
SixTrack is a single-particle tracking code for high-energy circular accelerators routinely used at CERN for the Large Hadron Collider (LHC), its luminosity upgrade (HL-LHC), the Future Circular Collider (FCC), and the Super Proton Synchrotron (SPS) simulations. The code is based on a 6D symplectic tracking engine, which is optimised for long-term tracking simulations and delivers fully reproducible results on several platforms. [...]
2019 - 7 p.
- Published in : 10.18429/JACoW-ICAP2018-TUPAF02
Fulltext from publisher: PDF;
In : 13th International Computational Accelerator Physics Conference (ICAP 2018), Key West, FL, USA, 20 - 24 Oct 2018, pp.TUPAF02
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SixTrack Version 5: Status and new developments
/ De Maria, Riccardo (CERN) ; Andersson, Joel (CERN) ; Dalena, Barbara (IRFU, Saclay) ; Field, Laurence (CERN) ; Giovannozzi, Massimo (CERN) ; Hermes, Pascal (CERN) ; Hoimyr, Nils (CERN) ; Iadarola, Giovanni (CERN) ; Kostoglou, Sofia (CERN) ; Maclean, Ewen (CERN ; U. Malta) et al.
SixTrack Version 5 is a major SixTrack release that introduces new features, with improved integration of the existing ones, and extensive code restructuring. New features include dynamic-memory management, scattering-routine integration, a new initial-condition module, and reviewed post-processing methods. [...]
CERN-ACC-2019-117.-
2019 - 4 p.
- Published in : 10.18429/JACoW-IPAC2019-WEPTS043
Preprint: PDF;
In : 10th International Particle Accelerator Conference, Melbourne, Australia, 19 - 24 May 2019, pp.WEPTS043
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LHC@Home: a BOINC-based volunteer computing infrastructure for physics studies at CERN
/ Barranco, Javier (Ecole Polytechnique, Lausanne, LPAP) ; Cai, Yunhai (SLAC) ; Cameron, David (Oslo U.) ; Crouch, Matthew (CERN) ; De Maria, Riccardo (CERN) ; Field, Laurence (CERN) ; Giovannozzi, Massimo (CERN) ; Hermes, Pascal (CERN) ; Høimyr, Nils (CERN) ; Kaltchev, Dobrin (TRIUMF) et al.
The LHC@Home BOINC project has provided computing capacity for numerical simulations to researchers at CERN since 2004, and has since 2011 been expanded with a wider range of applications. The traditional CERN accelerator physics simulation code SixTrack enjoys continuing volunteers support, and thanks to virtualisation a number of applications from the LHC experiment collaborations and particle theory groups have joined the consolidated LHC@Home BOINC project. [...]
2017
- Published in : Open Eng. 7 (2017) 378-392
Fulltext: PDF;
In : BOINC : Fundamental & Applied Science & Technology, Petrozavodsk, Russia, 28 Aug - 1 Sep 2017, pp.378-392
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New Features of the 2017 SixTrack Release
/ Sjobak, Kyrre (CERN) ; Barranco García, Javier (CERN) ; De Maria, Riccardo (CERN) ; Fitterer, Miriam (Fermilab) ; Gupta, Vikas (IISER, Kolkata) ; McIntosh, Eric (CERN) ; Mereghetti, Alessio (CERN) ; Molson, James (Orsay, LAL)
The SixTrack particle tracking code is routinely used to simulate particle trajectories in high energy circular machines like the LHC and FCC, and is deployed for massive simulation campaigns on CERN clusters and on the BOINC platform within the LHC@Home volunteering computing project. The 2017 release brings many upgrades that improve flexibility, performance, and accuracy. [...]
CERN-ACC-2017-114.-
2017 - 4 p.
- Published in : 10.18429/JACoW-IPAC2017-THPAB047
Fulltext: PDF;
In : 8th International Particle Accelerator Conference, Copenhagen, Denmark, 14 - 19 May 2017, pp.THPAB047
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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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