Cyclotrons2019 - List of Authors (Adelmann, A.)

Paper	Title	Page
MOP034	Beam Stripping Interactions Implemented in Cyclotrons with OPAL Simulation Code	109
	P. Calvo, C. Oliver CIEMAT, Madrid, Spain A. Adelmann, M. Frey, A. Gsell, J. Snuverink PSI, Villigen PSI, Switzerland
	Beam transmission optimization and losses characterization, where beam stripping interactions are a key issue, play an important role in the design and operation of compact cyclotrons. A beam stripping model has been implemented in the three-dimensional object-oriented parallel code OPAL-cycl, a flavor of the OPAL framework. The model includes Monte Carlo methods for interaction with residual gas and dissociation by electromagnetic stripping. The model has been verified with theoretical models and it has been applied to the AMIT cyclotron according to design conditions.
	Poster MOP034 [0.880 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-Cyclotrons2019-MOP034
About •	paper received ※ 12 September 2019 paper accepted ※ 26 September 2019 issue date ※ 20 June 2020
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WEB02	Surrogate Models for Particle Accelerators
	A. Adelmann PSI, Villigen PSI, Switzerland
	Precise accelerator simulations are powerful tools in the design and optimization of exiting and new charged particle accelerators. We all know from experience, the computational burden of precise simulations often limits their use in practice. This becomes a real hurdle when requiring real time computation. I will demonstrate two techniques, based on Polynomial Chaos Expansion [1] and Deep Neural Networks [2] that hints a path forward, towards precise real time computing. The examples will be based on linear accelerators and cyclotrons. [1] A. Adelmann, "On Nonintrusive Uncertainty Quantification and Surrogate Model Construction in Particle Accelerator Modeling", SIAM/ASA J. Uncertainty Quantification, 7(2), 383-416 (2019) https://epubs.siam.org/doi/abs/10.1137/16M1061928 [2] A. Edelen, A. Adelmann, N. Neveu, Y. Huber, M. Frey, "Machine Learning to Enable Orders of Magnitude Speedup in Mult-Objective Optimization of Particle Accelerator Systems", https://arxiv.org/abs/1903.07759
	Slides WEB02 [3.099 MB]
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THA01	Precise Modelling and Large Scale Multiobjective Optimisation of Cyclotrons	284
	J. Snuverink, A. Adelmann, C. Baumgarten, M. Frey PSI, Villigen PSI, Switzerland
	The usage of numerical models to study the evolution of particle beams is an essential step in the design process of particle accelerators. However, uncertainties of input quantities such as beam energy and magnetic field lead to simulation results that do not fully agree with measurements. Hence the machine will behave differently compared to the simulations. In case of cyclotrons such discrepancies affect the overall turn pattern or alter the number of turns. Inaccuracies at the PSI Ring cyclotron that may harm the isochronicity are compensated by 18 trim coils. Trim coils are often absent in simulations or their implementation is simplistic. A realistic trim coil model within the simulation framework OPAL is presented. It was used to match the turn pattern of the PSI Ring. Due to the high-dimensional search space consisting of 48 simulation input parameters and 182 objectives (i.e. turns) simulation and measurement cannot be matched in a straightforward manner. Instead, an evolutionary multi-objective optimisation with more than 8000 simulations per iteration together with a local search approach was applied that reduced the maximum error to 4.5 mm over all 182 turns.
	Slides THA01 [6.834 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-Cyclotrons2019-THA01
About •	paper received ※ 25 September 2019 paper accepted ※ 27 September 2019 issue date ※ 20 June 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THA02	Recent Developments of the Open Source Code OPAL
	A. Adelmann PSI, Villigen PSI, Switzerland
	After a general introduction of OPAL, I will introduce a set of new features available with version 2.0 [1]. All new features will be presented together with examples of ongoing research projects. In the OPAL-cyc flavour, a robust way of generating matched distributions with linear space charge is introduced. A new method for describing fixed field accelerators (FFAs) in a very general way will be shown. A new element TRIMCOIL can be used to correct for field-errors in cyclotrons and FFAs [2]. The OPAL was extended to allow the specification of multi objective optimisation problems, which are then solved with a built in NGSA-II genetic algorithm. A new feature SAMPLER allows you to setup and run random or sequential parameter studies and seamless utilisation of a vast number of computing cores. Future plans such as the new AMR-Solver for preceise neighbouring bunch simulations will presented. [1] A. Adelmann et al., "OPAL a Versatile Tool for Charged Particle Accelerator Simulations", arXiv:1905.06654 [2] Matthias Frey et al., "Matching of turn pattern measurements for cyclotrons using multiobjective optimization", Phys. Rev. Accel. Beams 22, 064602, 2019
	Slides THA02 [15.093 MB]
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Beam Stripping Interactions Implemented in Cyclotrons with OPAL Simulation Code

109

P. Calvo, C. Oliver
CIEMAT, Madrid, Spain
A. Adelmann, M. Frey, A. Gsell, J. Snuverink
PSI, Villigen PSI, Switzerland

Beam transmission optimization and losses characterization, where beam stripping interactions are a key issue, play an important role in the design and operation of compact cyclotrons. A beam stripping model has been implemented in the three-dimensional object-oriented parallel code OPAL-cycl, a flavor of the OPAL framework. The model includes Monte Carlo methods for interaction with residual gas and dissociation by electromagnetic stripping. The model has been verified with theoretical models and it has been applied to the AMIT cyclotron according to design conditions.

Poster MOP034 [0.880 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-Cyclotrons2019-MOP034

About •

paper received ※ 12 September 2019 paper accepted ※ 26 September 2019 issue date ※ 20 June 2020

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEB02

Surrogate Models for Particle Accelerators

A. Adelmann
PSI, Villigen PSI, Switzerland

Precise accelerator simulations are powerful tools in the design and optimization of exiting and new charged particle accelerators. We all know from experience, the computational burden of precise simulations often limits their use in practice. This becomes a real hurdle when requiring real time computation. I will demonstrate two techniques, based on Polynomial Chaos Expansion [1] and Deep Neural Networks [2] that hints a path forward, towards precise real time computing. The examples will be based on linear accelerators and cyclotrons.
[1] A. Adelmann, "On Nonintrusive Uncertainty Quantification and Surrogate Model Construction in Particle Accelerator Modeling", SIAM/ASA J. Uncertainty Quantification, 7(2), 383-416 (2019) https://epubs.siam.org/doi/abs/10.1137/16M1061928
[2] A. Edelen, A. Adelmann, N. Neveu, Y. Huber, M. Frey, "Machine Learning to Enable Orders of Magnitude Speedup in Mult-Objective Optimization of Particle Accelerator Systems", https://arxiv.org/abs/1903.07759

Slides WEB02 [3.099 MB]

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THA01

Precise Modelling and Large Scale Multiobjective Optimisation of Cyclotrons

284

J. Snuverink, A. Adelmann, C. Baumgarten, M. Frey
PSI, Villigen PSI, Switzerland

The usage of numerical models to study the evolution of particle beams is an essential step in the design process of particle accelerators. However, uncertainties of input quantities such as beam energy and magnetic field lead to simulation results that do not fully agree with measurements. Hence the machine will behave differently compared to the simulations. In case of cyclotrons such discrepancies affect the overall turn pattern or alter the number of turns. Inaccuracies at the PSI Ring cyclotron that may harm the isochronicity are compensated by 18 trim coils. Trim coils are often absent in simulations or their implementation is simplistic. A realistic trim coil model within the simulation framework OPAL is presented. It was used to match the turn pattern of the PSI Ring. Due to the high-dimensional search space consisting of 48 simulation input parameters and 182 objectives (i.e. turns) simulation and measurement cannot be matched in a straightforward manner. Instead, an evolutionary multi-objective optimisation with more than 8000 simulations per iteration together with a local search approach was applied that reduced the maximum error to 4.5 mm over all 182 turns.

Slides THA01 [6.834 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-Cyclotrons2019-THA01

About •

paper received ※ 25 September 2019 paper accepted ※ 27 September 2019 issue date ※ 20 June 2020

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THA02

Recent Developments of the Open Source Code OPAL

A. Adelmann
PSI, Villigen PSI, Switzerland

After a general introduction of OPAL, I will introduce a set of new features available with version 2.0 [1]. All new features will be presented together with examples of ongoing research projects. In the OPAL-cyc flavour, a robust way of generating matched distributions with linear space charge is introduced. A new method for describing fixed field accelerators (FFAs) in a very general way will be shown. A new element TRIMCOIL can be used to correct for field-errors in cyclotrons and FFAs [2]. The OPAL was extended to allow the specification of multi objective optimisation problems, which are then solved with a built in NGSA-II genetic algorithm. A new feature SAMPLER allows you to setup and run random or sequential parameter studies and seamless utilisation of a vast number of computing cores. Future plans such as the new AMR-Solver for preceise neighbouring bunch simulations will presented.
[1] A. Adelmann et al., "OPAL a Versatile Tool for Charged Particle Accelerator Simulations", arXiv:1905.06654
[2] Matthias Frey et al., "Matching of turn pattern measurements for cyclotrons using multiobjective optimization", Phys. Rev. Accel. Beams 22, 064602, 2019

Slides THA02 [15.093 MB]

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)