IBIC2017 - List of Authors (Sapinski, M.)

Paper	Title	Page
WE2AB5	First Results From the Operation of a Rest Gas Ionisation Profile Monitor Based on a Hybrid Pixel Detector	318
	J.W. Storey, D. Bodart, B. Dehning, G. Schneider, R. Veness CERN, Geneva, Switzerland W. Bertsche, H. Sandberg UMAN, Manchester, United Kingdom S.M. Gibson, S. Levasseur Royal Holloway, University of London, Surrey, United Kingdom M. Sapinski GSI, Darmstadt, Germany K. Satou J-PARC, KEK & JAEA, Ibaraki-ken, Japan
	A novel rest gas ionisation profile monitor which aims to provide a continuous non-destructive bunch-by-bunch measurement of the transverse emittance is currently under development for the CERN Proton Synchrotron (CPS). Uniquely for this type of instrument the imaging detector that measures the position of the ionisation electrons consists of an array of pixelated silicon sensors which are read-out using Timepix3 readout chips. The pixel detector is directly sensitive to single ionisation electrons and therefore removes the need for electron amplification with Multi-Channel Plates which typically suffer from aging phenomena. The use of a pixel detector also offers the promise to significantly improve the time and spatial resolution of the position measurement compared to existing instruments. An ambitious program has been undertaken to develop a pixel detector that is compatible with operation directly inside the beam pipe vacuum together with the necessary radiation hard control and data acquisition electronics. A prototype version of the instrument was recently installed in the CPS and first results from the operation of this novel instrument will be presented.
	Slides WE2AB5 [38.592 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2017-WE2AB5
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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
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)

Paper

Title

Page

First Results From the Operation of a Rest Gas Ionisation Profile Monitor Based on a Hybrid Pixel Detector

318

J.W. Storey, D. Bodart, B. Dehning, G. Schneider, R. Veness
CERN, Geneva, Switzerland
W. Bertsche, H. Sandberg
UMAN, Manchester, United Kingdom
S.M. Gibson, S. Levasseur
Royal Holloway, University of London, Surrey, United Kingdom
M. Sapinski
GSI, Darmstadt, Germany
K. Satou
J-PARC, KEK & JAEA, Ibaraki-ken, Japan

A novel rest gas ionisation profile monitor which aims to provide a continuous non-destructive bunch-by-bunch measurement of the transverse emittance is currently under development for the CERN Proton Synchrotron (CPS). Uniquely for this type of instrument the imaging detector that measures the position of the ionisation electrons consists of an array of pixelated silicon sensors which are read-out using Timepix3 readout chips. The pixel detector is directly sensitive to single ionisation electrons and therefore removes the need for electron amplification with Multi-Channel Plates which typically suffer from aging phenomena. The use of a pixel detector also offers the promise to significantly improve the time and spatial resolution of the position measurement compared to existing instruments. An ambitious program has been undertaken to develop a pixel detector that is compatible with operation directly inside the beam pipe vacuum together with the necessary radiation hard control and data acquisition electronics. A prototype version of the instrument was recently installed in the CPS and first results from the operation of this novel instrument will be presented.

Slides WE2AB5 [38.592 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IBIC2017-WE2AB5

Export •

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

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

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)