NAPAC2022 - List of Authors (Biedron, S.)

Paper	Title	Page
SUXF1	Project Management and Accelerator Development
	S. Biedron Element Aero, Chicago, USA L.M. Georgson Petrén Roddare, Lund, Sweden
	Accelerator laboratories belong to the largest research investments to be found regardless laboratory, research institute or country funding the initiatives. This impose a great responsibility on the researchers and engineers developing, building and updating research facilities. Accelerator development are important research projects and will affect many stakeholders regardless if it is a smaller upgrade of an RF system or development of a large scale FEL. Wet developing new systems project management is a core competence for every laboratory. Yet this is a knowledge area often ignored in favor skill development in areas closer to physics and technology. This can be a very expensive mistake as the value of proper project management cannot be underestimated. This half day training will give you insight in the basics of projects. What is a project and what does project management mean. And how can this be adopted in accelerator development.
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SUZF1	Introduction to Systems Engineering Concepts
	S. Biedron Element Aero, Chicago, USA L.M. Georgson Petrén Roddare, Lund, Sweden
	Systems engineering has long been employed in defense and non-defense industries but not commonly in particle accelerator systems. The common definition of Systems Engineering is as follows "It is a transdisciplinary and integrative approach to enable the successful realization, use, and retirement of engineered systems, using systems principles and concepts, and scientific, technological, and management methods." This overview introduces participants to the fundamental principles of systems engineering and their application to the development of complex systems. Systems engineering helps address engineering challenges as well as how systems engineering is essential to project management. The overview will help the participant learn the language of methods and processes commonplace in industry. We will define the following through examples: systems, the systems development lifecycle, and methods of systems engineering, beginning with the system requirements. One example will be exploring a novel particle accelerator through systems engineering methods.
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MOPA13	Design of a Surrogate Model for MUED at BNL Using VSim, Elegant and HPC	72
	S.I. Sosa Guitron, S. Biedron, T.B. Bolin UNM-ECE, Albuquerque, USA S. Biedron Element Aero, Chicago, USA S. Biedron UNM-ME, Albuquerque, New Mexico, USA
	Funding: U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Program of Electron and Scanning Probe Microscopes, award number DE-SC0021365. The MeV Ultrafast Electron Diffraction (MUED) instrument at Brookhaven National Laboratory is a unique capability for material science. As part of a plan to make MUED a high-throughput user facility, we are exploring instrumentation developments based on Machine Learning (ML). We are developing a surrogate model of MUED that can be used to support control tasks. The surrogate model will be based on beam simulations that are benchmarked to experimental observations. We use VSim to model the beam dynamics of the radio-frequency gun and Elegant to transport the beam through the rest of the beam-line. We also use High Performance Computing resources from Argonne Leadership Computing Facility to generate the data for the surrogate model based on the original simulation as well as training the ML model.
DOI •	reference for this paper ※ doi:10.18429/JACoW-NAPAC2022-MOPA13
About •	Received ※ 01 August 2022 — Revised ※ 09 August 2022 — Accepted ※ 11 August 2022 — Issue date ※ 21 August 2022
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TUPA41	Applications of Machine Learning in Photo-Cathode Injectors	441
	A. Aslam UNM-ECE, Albuquerque, USA M. Babzien BNL, Upton, New York, USA S. Biedron Element Aero, Chicago, USA
	To configure a photoinjector to reproduce a given electron bunch with the desired characteristics, it is necessary to adjust the operating parameters with high precision. More or less, the fine tunability of the laser parameters are of extreme importance as we try to model further applications of the photoinjector. The laser pulse incident on the photocathode critically affects the electron bunch 3D phase space. Parameters such as the laser pulse transverse shape, total energy, and temporal profile must be controlled independently, any laser pulse variation over both short and long-time scales also requires correction. The ability to produce arbitrary laser intensity distributions enables better control of electron bunch transverse and longitudinal emittance by affecting the space-charge forces throughout the bunch. In an accelerator employing a photoinjector, electron optics in the beamline downstream are used to transport, manipulate, and characterize the electron bunch. The adjustment of the electron optics to achieve a desired electron bunch at the interaction point is a much better understood problem than laser adjustment, so this research emphasizes laser shaping.
DOI •	reference for this paper ※ doi:10.18429/JACoW-NAPAC2022-TUPA41
About •	Received ※ 30 July 2022 — Revised ※ 12 August 2022 — Accepted ※ 13 August 2022 — Issue date ※ 07 September 2022
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TUYE1	Coulomb Crystals in Storage Rings for Quantum Information Science	296
	K.A. Brown BNL, Upton, New York, USA A. Aslam, S. Biedron, T.B. Bolin, C. Gonzalez-Zacarias, S.I. Sosa Guitron UNM-ECE, Albuquerque, USA B. Huang SBU, Stony Brook, USA T.G. Robertazzi Stony Brook University, Stony Brook, New York, USA
	Quantum information science is a growing field that promises to take computing into a new age of higher performance and larger scale computing as well as being capable of solving problems classical computers are incapable of solving. The outstanding issue in practical quantum computing today is scaling up the system while maintaining interconnectivity of the qubits and low error rates in qubit operations to be able to implement error correction and fault-tolerant operations. Trapped ion qubits offer long coherence times that allow error correction. However, error correction algorithms require large numbers of qubits to work properly. We can potentially create many thousands (or more) of qubits with long coherence states in a storage ring. For example, a circular radio-frequency quadrupole, which acts as a large circular ion trap and could enable larger scale quantum computing. Such a Storage Ring Quantum Computer (SRQC) would be a scalable and fault tolerant quantum information system, composed of qubits with very long coherence lifetimes.
	Slides TUYE1 [8.834 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-NAPAC2022-TUYE1
About •	Received ※ 17 July 2022 — Revised ※ 02 August 2022 — Accepted ※ 08 August 2022 — Issue date ※ 11 August 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THXD5	Machine Learning-Based Tuning of Control Parameters for LLRF System of Superconducting Cavities
	J.A. Diaz Cruz, S. Biedron UNM-ECE, Albuquerque, USA J.A. Diaz Cruz SLAC, Menlo Park, California, USA
	The multiple systems involved in the operation of particle accelerators use diverse control systems to reach the desired operating point for the machine. Each system needs to tune several control parameters to achieve the required performance. Low-Level RF (LLRF) systems can be implemented using proportional-integral (PI) feedback loops, whose gains need to be optimized. In this paper, we explore Machine Learning (ML) as a tool to improve a traditional LLRF controller by tuning its gains using a Neural Network(NN).
	Slides THXD5 [0.970 MB]
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Paper

Title

Page

SUXF1

Project Management and Accelerator Development

S. Biedron
Element Aero, Chicago, USA
L.M. Georgson Petrén
Roddare, Lund, Sweden

Accelerator laboratories belong to the largest research investments to be found regardless laboratory, research institute or country funding the initiatives. This impose a great responsibility on the researchers and engineers developing, building and updating research facilities. Accelerator development are important research projects and will affect many stakeholders regardless if it is a smaller upgrade of an RF system or development of a large scale FEL. Wet developing new systems project management is a core competence for every laboratory. Yet this is a knowledge area often ignored in favor skill development in areas closer to physics and technology. This can be a very expensive mistake as the value of proper project management cannot be underestimated. This half day training will give you insight in the basics of projects. What is a project and what does project management mean. And how can this be adopted in accelerator development.

Cite •

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

SUZF1

Introduction to Systems Engineering Concepts

S. Biedron
Element Aero, Chicago, USA
L.M. Georgson Petrén
Roddare, Lund, Sweden

Systems engineering has long been employed in defense and non-defense industries but not commonly in particle accelerator systems. The common definition of Systems Engineering is as follows "It is a transdisciplinary and integrative approach to enable the successful realization, use, and retirement of engineered systems, using systems principles and concepts, and scientific, technological, and management methods." This overview introduces participants to the fundamental principles of systems engineering and their application to the development of complex systems. Systems engineering helps address engineering challenges as well as how systems engineering is essential to project management. The overview will help the participant learn the language of methods and processes commonplace in industry. We will define the following through examples: systems, the systems development lifecycle, and methods of systems engineering, beginning with the system requirements. One example will be exploring a novel particle accelerator through systems engineering methods.

Cite •

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

MOPA13

Design of a Surrogate Model for MUED at BNL Using VSim, Elegant and HPC

72

S.I. Sosa Guitron, S. Biedron, T.B. Bolin
UNM-ECE, Albuquerque, USA
S. Biedron
Element Aero, Chicago, USA
S. Biedron
UNM-ME, Albuquerque, New Mexico, USA

Funding: U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Program of Electron and Scanning Probe Microscopes, award number DE-SC0021365.
The MeV Ultrafast Electron Diffraction (MUED) instrument at Brookhaven National Laboratory is a unique capability for material science. As part of a plan to make MUED a high-throughput user facility, we are exploring instrumentation developments based on Machine Learning (ML). We are developing a surrogate model of MUED that can be used to support control tasks. The surrogate model will be based on beam simulations that are benchmarked to experimental observations. We use VSim to model the beam dynamics of the radio-frequency gun and Elegant to transport the beam through the rest of the beam-line. We also use High Performance Computing resources from Argonne Leadership Computing Facility to generate the data for the surrogate model based on the original simulation as well as training the ML model.

DOI •

reference for this paper ※ doi:10.18429/JACoW-NAPAC2022-MOPA13

About •

Received ※ 01 August 2022 — Revised ※ 09 August 2022 — Accepted ※ 11 August 2022 — Issue date ※ 21 August 2022

Cite •

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

TUPA41

Applications of Machine Learning in Photo-Cathode Injectors

441

A. Aslam
UNM-ECE, Albuquerque, USA
M. Babzien
BNL, Upton, New York, USA
S. Biedron
Element Aero, Chicago, USA

To configure a photoinjector to reproduce a given electron bunch with the desired characteristics, it is necessary to adjust the operating parameters with high precision. More or less, the fine tunability of the laser parameters are of extreme importance as we try to model further applications of the photoinjector. The laser pulse incident on the photocathode critically affects the electron bunch 3D phase space. Parameters such as the laser pulse transverse shape, total energy, and temporal profile must be controlled independently, any laser pulse variation over both short and long-time scales also requires correction. The ability to produce arbitrary laser intensity distributions enables better control of electron bunch transverse and longitudinal emittance by affecting the space-charge forces throughout the bunch. In an accelerator employing a photoinjector, electron optics in the beamline downstream are used to transport, manipulate, and characterize the electron bunch. The adjustment of the electron optics to achieve a desired electron bunch at the interaction point is a much better understood problem than laser adjustment, so this research emphasizes laser shaping.

DOI •

reference for this paper ※ doi:10.18429/JACoW-NAPAC2022-TUPA41

About •

Received ※ 30 July 2022 — Revised ※ 12 August 2022 — Accepted ※ 13 August 2022 — Issue date ※ 07 September 2022

Cite •

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

TUYE1

Coulomb Crystals in Storage Rings for Quantum Information Science

296

K.A. Brown
BNL, Upton, New York, USA
A. Aslam, S. Biedron, T.B. Bolin, C. Gonzalez-Zacarias, S.I. Sosa Guitron
UNM-ECE, Albuquerque, USA
B. Huang
SBU, Stony Brook, USA
T.G. Robertazzi
Stony Brook University, Stony Brook, New York, USA

Quantum information science is a growing field that promises to take computing into a new age of higher performance and larger scale computing as well as being capable of solving problems classical computers are incapable of solving. The outstanding issue in practical quantum computing today is scaling up the system while maintaining interconnectivity of the qubits and low error rates in qubit operations to be able to implement error correction and fault-tolerant operations. Trapped ion qubits offer long coherence times that allow error correction. However, error correction algorithms require large numbers of qubits to work properly. We can potentially create many thousands (or more) of qubits with long coherence states in a storage ring. For example, a circular radio-frequency quadrupole, which acts as a large circular ion trap and could enable larger scale quantum computing. Such a Storage Ring Quantum Computer (SRQC) would be a scalable and fault tolerant quantum information system, composed of qubits with very long coherence lifetimes.

Slides TUYE1 [8.834 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-NAPAC2022-TUYE1

About •

Received ※ 17 July 2022 — Revised ※ 02 August 2022 — Accepted ※ 08 August 2022 — Issue date ※ 11 August 2022

Cite •

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

THXD5

Machine Learning-Based Tuning of Control Parameters for LLRF System of Superconducting Cavities

J.A. Diaz Cruz, S. Biedron
UNM-ECE, Albuquerque, USA
J.A. Diaz Cruz
SLAC, Menlo Park, California, USA

The multiple systems involved in the operation of particle accelerators use diverse control systems to reach the desired operating point for the machine. Each system needs to tune several control parameters to achieve the required performance. Low-Level RF (LLRF) systems can be implemented using proportional-integral (PI) feedback loops, whose gains need to be optimized. In this paper, we explore Machine Learning (ML) as a tool to improve a traditional LLRF controller by tuning its gains using a Neural Network(NN).

Slides THXD5 [0.970 MB]

Cite •

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