IBIC2017 - List of Authors (Vilsmeier, D.M.)

Paper	Title	Page
WEPCC06	Simulation Supported Profile Reconstruction With Machine Learning	350
	R. Singh, M. Sapinski, D.M. Vilsmeier GSI, Darmstadt, Germany
	Measured IPM profiles can be significantly distorted due to displacement of residual ions or electrons by interaction with beam fields for high intensity or high energy beams. It is thus difficult to deduce the characteristics of the actual beam profile from the measurements. Neural network with multilayer perceptron (MLP)architecture is applied to reconstruct the actual beam profile from the measurement data. The MLP is trained using the IPM simulation tool developed under the IPMSim collaboration. The first results are presented in this contribution.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2017-WEPCC06
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WEPCC07	A Modular Application for IPM Simulations	355
	D.M. Vilsmeier, P. Forck, M. Sapinski GSI, Darmstadt, Germany
	Simulating the electron and ion tracking in Ionization Profile Monitors is an important tool for specifying and designing new monitors. It is also essential for understanding the effects related to the ionization process, guiding field non-uniformities and influence of the beam fields which may lead to a distortion of measured profiles. Existing simulation codes are often tuned to the specific needs of a laboratory, are not well documented and lack a practical user interface. This work presents a generic simulation tool which combines the features of existing codes in order to provide a common standard for IPM simulations. The modular structure of the application allows for exchanging the computational modules depending on the use case and makes it extensible to new use cases. By this means simulations of Beam Induced Fluorescence monitors based on supersonic gas jets have been realized. The application and all involved methods have been tested and benchmarked against existing results. The code is well documented and includes a graphical user interface. It is publicly available as a git repository and as a Python package.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2017-WEPCC07
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Simulation Supported Profile Reconstruction With Machine Learning

350

R. Singh, M. Sapinski, D.M. Vilsmeier
GSI, Darmstadt, Germany

Measured IPM profiles can be significantly distorted due to displacement of residual ions or electrons by interaction with beam fields for high intensity or high energy beams. It is thus difficult to deduce the characteristics of the actual beam profile from the measurements. Neural network with multilayer perceptron (MLP)architecture is applied to reconstruct the actual beam profile from the measurement data. The MLP is trained using the IPM simulation tool developed under the IPMSim collaboration. The first results are presented in this contribution.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2017-WEPCC06

Export •

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

WEPCC07

A Modular Application for IPM Simulations

355

D.M. Vilsmeier, P. Forck, M. Sapinski
GSI, Darmstadt, Germany

Simulating the electron and ion tracking in Ionization Profile Monitors is an important tool for specifying and designing new monitors. It is also essential for understanding the effects related to the ionization process, guiding field non-uniformities and influence of the beam fields which may lead to a distortion of measured profiles. Existing simulation codes are often tuned to the specific needs of a laboratory, are not well documented and lack a practical user interface. This work presents a generic simulation tool which combines the features of existing codes in order to provide a common standard for IPM simulations. The modular structure of the application allows for exchanging the computational modules depending on the use case and makes it extensible to new use cases. By this means simulations of Beam Induced Fluorescence monitors based on supersonic gas jets have been realized. The application and all involved methods have been tested and benchmarked against existing results. The code is well documented and includes a graphical user interface. It is publicly available as a git repository and as a Python package.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2017-WEPCC07

Export •

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