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1.
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Impact of beam asymmetries at the Future Circular Collider <math display="inline"><msup><mi>e</mi><mo>+</mo></msup><msup><mi>e</mi><mo>-</mo></msup></math>
/ Kicsiny, Peter (CERN ; EPFL-ISIC, Lausanne) ; Buffat, Xavier (CERN) ; Nguyen, Khoi Le Nguyen (Cambridge U.) ; Pieloni, Tatiana (EPFL-ISIC, Lausanne) ; Seidel, Mike (EPFL-ISIC, Lausanne ; PSI, Villigen)
In this paper we present detailed simulations with asymmetric initial beam settings in the context of the proposed Future Circular Collider e+e- (FCC-ee) using the Xsuite framework. We compare simulated equilibrium bunch sizes and luminosities against an already existing analytical model, which shows remarkably good agreement for realistic small perturbations. [...]
arXiv:2410.02302.-
2024-12-01 - 13 p.
- Published in : Phys. Rev. Accel. Beams: 27 (2024) , no. 12, pp. 121001
Fulltext: Publication - PDF; 2410.02302 - PDF;
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2.
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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
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3.
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Multiturn simulation of radiative Bhabha scattering in the equivalent photon approximation
/ Kicsiny, Peter (CERN ; EPFL-ISIC, Lausanne) ; Buffat, Xavier (CERN) ; Schulte, Daniel (CERN) ; Burkhardt, Helmut (CERN) ; Pieloni, Tatiana (EPFL-ISIC, Lausanne) ; Seidel, Mike (EPFL-ISIC, Lausanne)
In this paper, we present a Monte Carlo event generator for radiative Bhabha scattering, based on the method of equivalent photons, and optimized for multiturn tracking simulations in the xsuite framework. We demonstrate the accuracy of the event generator with successful benchmarks of the luminosity and event cross section against currently existing alternative tools. [...]
2024 - 15 p.
- Published in : Phys. Rev. Accel. Beams 27 (2024) 091001
Fulltext: PDF;
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4.
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Selected advances in the accelerator design of the Future Circular Electron-Positron Collider (FCC-ee)
/ FCC Collaboration
In autumn 2023, the FCC Feasibility Study underwent a crucial “mid-term review”. We describe some accelerator performance risks for the proposed future circular electron-positron collider, FCC-ee, identified for, and during, the mid-term review. [...]
FERMILAB-CONF-24-0659-AD-PIP2.-
2024 - 4 p.
- Published in : JACoW IPAC 2024 (2024) WEPR14
Fulltext: PDF;
In : 15th International Particle Accelerator Conference (IPAC 2024), Nashville, TN, United States, 19 - 24 May 2024, pp.WEPR14
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5.
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Physics-based deep learning
/ Kicsiny, Peter (speaker) (EPFL)
Abstract
Numerical simulations have a long history of reshaping the way we model and understand physical phenomena and help to optimize processes, predict behavior and discover new principles. In the past decade machine learning, especially deep learning, has become a popular new tool that industries in many domains are starting to pick up not only to exploit data patterns but as a complementary approach to these classical numerical simulations [...]
2024 - 3079.
CERN openlab summer student lecture programme
External link: Event details
In : Physics-based deep learning
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6.
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7.
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Towards Beam-Beam Simulations for FCC-ee
/ Kicsiny, Peter (CERN ; Ecole Polytechnique, Lausanne) ; Buffat, Xavier (CERN) ; Iadarola, Giovanni (CERN) ; Pieloni, Tatiana (EPFL-ISIC, Lausanne) ; Schulte, Daniel (CERN) ; Seidel, Mike (Ecole Polytechnique, Lausanne ; PSI, Villigen)
The FCC-ee (Future Circular Collider) lepton collider is currently the most favored next generation research infrastructure project at CERN, aimed at studying properties of standard model particles with the highest precision ever. The chosen parameters of the machine yield unprecedented conditions which give rise to previously unseen dynamical effects during collisions. [...]
2023 - 6 p.
- Published in : JACoW eeFACT 2022 (2023) 165-170
Fulltext: PDF;
In : 65th ICFA Advanced Beam Dynamics Workshop on High Luminosity Circular e+ e- Colliders (eeFACT2022), INFN, Frascati, Italy, 12 - 16 Sep 2022, pp.165-170
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8.
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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
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9.
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Multiplatform Programming with Python
/ Kicsiny, Peter (speaker) (EPFL)
In this course the students can learn how to write platform agnostic code using Python (and some C). Some knowledge (~1 year experience) of these two languages is recommended.
The lecture will focus on how Python can easily be combined with C for CPU and GPU programming, by exploiting the advantages of both languages. [...]
2023 - 3371.
Inverted CSC; Inverted CERN School of Computing 2023
External links: Talk details; Event details
In : Inverted CERN School of Computing 2023
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10.
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Benchmarking of the Radiation Environment Simulations for CMS Experiment at LHC
/ Azhgirey, Igor L (Serpukhov, IHEP) ; Bozzato, Davide (CERN) ; Dabrowski, Anne E (CERN) ; Kicsiny, Peter (CERN) ; Kurochkin, Igor A (Serpukhov, IHEP) ; Mallows, Sophie (KIT, Karlsruhe, ETP) ; Riabchikova, Anastasiia D (Serpukhov, IHEP) ; Wanczyk, Joanna (CERN)
Radiation Simulations group of the Beam Radiation Instrumentation and Luminosity Project of the CMS experiment provide for CMS radiation environment and radiation effects simulation and benchmarking of these calculations with CMS data and other data from LHC measuring devices. We present some results of such benchmarking and the reliability analysis of the simulation procedures for radiation environment calculations at the LHC..
JACoW, 2021 - 4 p.
- Published in : JACoW IPAC 2021 (2021) 2235-2238
Fulltext: PDF;
In : 12th International Particle Accelerator Conference (IPAC 2021), Online, 24 - 28 May 2021, pp.2235-2238
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