Accelerator Modelling and Advanced Simulations Group
The Accelerator Modelling and Advanced Simulations (AMAS) group aims at bridging the gap between qualitative and quantitative modelling by combining and extending the latest developments in
- Accelerator-Physics
- Numerical Modelling
- SDSC Hub
AMAS performs research in the area of accelerator system simulation, designs and adapts simulation tools for PSI needs, and participates in educational efforts. The developed methods are applied to PSI's existing and future accelerator systems which in turn provide benchmarks for the developed methods.
Further information is available via the AMAS homepage
AMAS Group Members
Head of LSM a.i. / Group leader i.P.
Accelerator Modelling and Advanced Simulations Group >>
Building/Room: OHSA/D09
Postdoc
Accelerator Modelling and Advanced Simulations Group >>
Building/Room: OHSA/D04
Postdoc "Career Return"
Accelerator Modelling and Advanced Simulations Group >>
Building/Room: OHSA/B13
PhD student
Accelerator Modelling and Advanced Simulations Group >>
Building/Room: OHSA/D05
PhD student
Accelerator Modelling and Advanced Simulations Group >>
Building/Room: OHSA/D05
Master student
Accelerator Modelling and Advanced Simulations Group >>
Building/Room: OHSA/B13
AMAS Publication List
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Kranjčević M, Riemann B, Adelmann A, Streun A
Multiobjective optimization of the dynamic aperture using surrogate models based on artificial neural networks
Physical Review Accelerators and Beams. 2021; 24(1): 014601 (15 pp.). https://doi.org/10.1103/PhysRevAccelBeams.24.014601
DORA PSI -
Li S, Zacharias M, Snuverink J, Coello de Portugal J, Perez-Cruz F, Reggiani D, et al.
A novel approach for classification and forecasting of time series in particle accelerators
Information. 2021; 12(3): 121 (21 pp.). https://doi.org/10.3390/info12030121
DORA PSI -
Muralikrishnan S, Cerfon AJ, Frey M, Ricketson LF, Adelmann A
Sparse grid-based adaptive noise reduction strategy for particle-in-cell schemes
Journal of Computational Physics: X. 2021; 11: 100094 (31 pp.). https://doi.org/10.1016/j.jcpx.2021.100094
DORA PSI -
Albà A, Adelmann A, Fallahi A
OPAL-MITHRA: self-consistent software for start-to-end simulation of undulator-based facilities
In: 33rd international vacuum nanoelectronics conference (IVNC) July 6-7, 2020. 2020 33rd international vacuum nanoelectronics conference (IVNC). Piscataway, New Jersey, United States: Institute of Electrical and Electronics Engineers; 2020:9203404 (2 pp.). https://doi.org/10.1109/IVNC49440.2020.9203404
DORA PSI -
Calvo P, Oliver C, Adelmann A, Frey M, Gsell A, Snuverink J
Beam stripping interactions implemented in cyclotrons with opal simulation code
In: Conradie L, Garrett De Villiers J, Schaa VRW, eds. CYC2019. 22nd international conference on cyclotrons and their applications. Vol. 22. International conference on cyclotrons and their applications. Geneva: JACoW Publishing; 2020:109-112. https://doi.org/10.18429/JACoW-Cyclotrons2019-MOP034
DORA PSI -
Edelen A, Neveu N, Frey M, Huber Y, Mayes C, Adelmann A
Machine learning for orders of magnitude speedup in multiobjective optimization of particle accelerator systems
Physical Review Accelerators and Beams. 2020; 23(4): 044601 (23 pp.). https://doi.org/10.1103/PhysRevAccelBeams.23.044601
DORA PSI -
Frey M, Adelmann A
Global sensitivity analysis on numerical solver parameters of particle-in-cell models in particle accelerator systems
Computer Physics Communications. 2020; 258: 107577 (17 pp.). https://doi.org/10.1016/j.cpc.2020.107577
DORA PSI -
Frey M, Adelmann A, Locans U
On architecture and performance of adaptive mesh refinement in an electrostatics Particle-In-Cell code
Computer Physics Communications. 2020; 247: 106912 (18 pp.). https://doi.org/10.1016/j.cpc.2019.106912
DORA PSI -
Rizzoglio V, Adelmann A, Gerbershagen A, Meer D, Nesteruk KP, Schippers JM
Uncertainty quantification analysis and optimization for proton therapy beam lines
Physica Medica. 2020; 75: 11-18. https://doi.org/10.1016/j.ejmp.2020.05.013
DORA PSI -
Adelmann A
On nonintrusive uncertainty quantification and surrogate model construction in particle accelerator modeling
SIAM-ASA Journal on Uncertainty Quantification. 2019; 7(2): 383-416. https://doi.org/10.1137/16M1061928
DORA PSI -
Frey M, Snuverink J, Baumgarten C, Adelmann A
Matching of turn pattern measurements for cyclotrons using multiobjective optimization
Physical Review Accelerators and Beams. 2019; 22(6): 064602 (13 pp.). https://doi.org/10.1103/PhysRevAccelBeams.22.064602
DORA PSI -
Kirschner J, Nonnenmacher M, Mutný M, Krause A, Hiller N, Ischebeck R, et al.
Bayesian optimisation for fast and safe parameter tuning of SwissFEL
In: Decking W, Sinn H, Geloni G, Schreiber S, Marx M, Schaa VRW, eds. 39th international free-electron laser conference. FEL2019. Proceedings. Vol. 39. Free electron laser conference. Geneva: JACoW Publishing; 2019:707-710. https://doi.org/10.18429/JACoW-FEL2019-THP061
DORA PSI -
Kranjčević M, Gorgi Zadeh S, Adelmann A, Arbenz P, van Rienen U
Constrained multiobjective shape optimization of superconducting rf cavities considering robustness against geometric perturbations
Physical Review Accelerators and Beams. 2019; 22(12): 122001 (14 pp.). https://doi.org/10.1103/PhysRevAccelBeams.22.122001
DORA PSI -
Kranjčević M, Adelmann A, Arbenz P, Citterio A, Stingelin L
Multi-objective shape optimization of radio frequency cavities using an evolutionary algorithm
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2019; 920: 106-114. https://doi.org/10.1016/j.nima.2018.12.066
DORA PSI -
Nesteruk KP, Calzolaio C, Meer D, Rizzoglio V, Seidel M, Schippers JM
Large energy acceptance gantry for proton therapy utilizing superconducting technology
Physics in Medicine and Biology. 2019; 64(17): 175007 (13 pp.). https://doi.org/10.1088/1361-6560/ab2f5f
DORA PSI -
Neveu N, Spentzouris L, Adelmann A, Ineichen Y, Kolano A, Metzger-Kraus C, et al.
Parallel general purpose multiobjective optimization framework with application to electron beam dynamics
Physical Review Accelerators and Beams. 2019; 22(5): 054602 (11 pp.). https://doi.org/10.1103/PhysRevAccelBeams.22.054602
DORA PSI -
Niedermayer U, Adelmann A, Bettoni S, Calvi M, Dehler M, Ferrari E, et al.
Challenges in simulating beam dynamics of dielectric laser acceleration
International Journal of Modern Physics A. 2019; 34(36): 1942031 (15 pp.). https://doi.org/10.1142/S0217751X19420314
DORA PSI -
Xu H, Locans U, Adelmann A, Stingelin L
Calculation of longitudinal collective instabilities with mbtrack-cuda
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2019; 922: 345-351. https://doi.org/10.1016/j.nima.2019.01.041
DORA PSI -
Adelmann A, Rogers C, Sheehy SL
Fixed Field Accelerators and space charge modeling
In: Schaa VRW, ed. Proceedings of the 61st ICFA advanced beam dynamics workshop on high-intensity and high-brightness hadron beams. Vol. 61. ICFA advanced beam dynamics workshop. Geneva, Switzerland: JACoW Publishing; 2018:158-162. https://doi.org/10.18429/JACoW-HB2018-TUP1WA02
DORA PSI -
Adelmann A, Hermann B, Ischebeck R, Kaluza MC, Locans U, Sauerwein N, et al.
Real-time tomography of gas-jets with a Wollaston Interferometer
Applied Sciences. 2018; 8(3): 443 (21 pp.). https://doi.org/10.3390/app8030443
DORA PSI -
Kolano A, Adelmann A, Barlow R, Baumgarten C
Intensity limits of the PSI Injector II cyclotron
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2018; 885: 54-59. https://doi.org/10.1016/j.nima.2017.12.045
DORA PSI -
Rizzoglio V, Adelmann A, Baumgarten C, Meer D, Snuverink J, Talanov V
On the accuracy of Monte Carlo based beam dynamics models for the degrader in proton therapy facilities
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2018; 898: 1-10. https://doi.org/10.1016/j.nima.2018.04.057
DORA PSI
- Evolution of a beam dynamics model for the transport line in a proton therapy facility
Physical Review Accelerators and Beams 20, 124702 (2017).DOI: 10.1103/PhysRevAccelBeams.20.124702
- Real-time computation of parameter fitting and image reconstruction using graphical processing units
COMPUTER PHYSICS COMMUNICATIONS 215, 71-80 (2017).DOI: 10.1016/j.cpc.2017.02.007
- Realistic simulations of a cyclotron spiral inflector within a particle-in-cell framework
Physical Review Accelerators and Beams 20, 124201 (2017).DOI: 10.1103/PhysRevAccelBeams.20.124201
- Simulations and measurements of proton beam energy spectrum after energy degradation
8TH INTERNATIONAL PARTICLE ACCELERATOR CONFERENCE (IPAC 2017) 874, UNSP 012108 (2017).DOI: 10.1088/1742-6596/874/1/012108
- Analysis and suppression of RF radiation from the PSI 590 MeV cyclotron Flat Top Cavity
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 828, 156-162 (2016).DOI: 10.1016/j.nima.2016.05.026
- Examination of the plasma located in PSI Ring Cyclotron
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 821, 87-92 (2016).DOI: 10.1016/j.nima.2016.03.013
- The Dynamic Kernel Scheduler-Part 1
COMPUTER PHYSICS COMMUNICATIONS 207, 83-90 (2016).DOI: 10.1016/j.cpc.2016.05.013
- Multilevel Monte Carlo for the Feynman-Kac formula for the Laplace equation
BIT Numerical Mathematics 55, 1125-1143 (2015).DOI: 10.1007/s10543-014-0543-8
- A novel adaptive time stepping variant of the Boris-Buneman integrator for the simulation of particle accelerators with space charge
JOURNAL OF COMPUTATIONAL PHYSICS 273, 255-267 (2014).DOI: 10.1016/j.jcp.2014.05.008
- Cyclotrons as Drivers for Precision Neutrino Measurements
Advances in High Energy Physics , 347097 (2014).DOI: 10.1155/2014/347097