ICALEPCS2023 - List of Keywords (storage-ring)

Paper	Title	Other Keywords	Page
MO3AO01	Optimisation of the Touschek Lifetime in Synchrotron Light Sources Using Badger	sextupole, injection, operation, quadrupole	108
	S.M. Liuzzo, N. Carmignani, L.R. Carver, L. Hoummi, D. Lacoste, A. Le Meillour, T.P. Perron, S.M. White ESRF, Grenoble, France I.V. Agapov, M. Böse, J. Keil, L. Malina, E.S.H. Musa, B. Veglia DESY, Hamburg, Germany A.L. Edelen, P. Raimondi, R.J. Roussel, Z. Zhang SLAC, Menlo Park, California, USA T. Hellert LBNL, Berkeley, California, USA
	Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 871072 Badger* is a software designed to easily access several optimizers (simplex, RCDS*, bayesian optimization, etc.) to solve a given multidimensional minimization/maximization task. The Badger software is very flexible and easy to adapt to different facilities. In the framework of the EURIZON European project Badger was used for the EBS and PETRAIII storage rings interfacing with the Tango and TINE control system. Among other tests, the optimisations of Touschek lifetime was performed and compared with the results obtained with existing tools during machine dedicated times. Z. Zhang et al., "Badger: The Missing Optimizer in ACR", doi:10.18429/JACoW-IPAC2022-TUPOST058 ** X. Huang, "Robust simplex algorithm for online optimization", 10.1103/PhysRevAccelBeams.21.104601
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO01
About •	Received ※ 28 September 2023 — Revised ※ 08 October 2023 — Accepted ※ 13 October 2023 — Issued ※ 27 October 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MO3AO02	Implementation of Model Predictive Control for Slow Orbit Feedback Control in MAX IV Accelerators Using PyTango Framework	controls, feedback, TANGO, operation	116
	C. Takahashi, J. Breunlin, A. Freitas, M. Sjöström MAX IV Laboratory, Lund University, Lund, Sweden P. Giselsson, E. Jensen Gassheld, M. Karlsson Lund University, Lund, Sweden
	Achieving low emittance and high brightness in modern light sources requires stable beams, which are commonly achieved through feedback solutions. The MAX IV light source has two feedback systems, Fast Orbit Feedback (FOFB) and Slow Orbit Feedback (SOFB), operating in overlapping frequency regions. Currently in MAX IV, a general feedback device implemented in PyTango is used for slow orbit and trajectory correction, but an MPC controller for the beam orbit has been proposed to improve system robustness. The controller uses iterative optimisation of the system model, current measurements, dynamic states and system constraints to calculate changes in the controlled variables. The new device implements the MPC model according to the beam orbit response matrix, subscribes to change events on all beam position attributes and updates the control signal given to the slow magnets with a 10 Hz rate. This project aims to improve system robustness and reduce actuator saturation. The use of PyTango simplifies the implementation of the MPC controller by allowing access to high-level optimisation and control packages. This project will contribute to the development of a high-quality feedback control system for MAX IV accelerators.
	Slides MO3AO02 [4.234 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO02
About •	Received ※ 05 October 2023 — Revised ※ 09 October 2023 — Accepted ※ 14 November 2023 — Issued ※ 19 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPDP019	Operation of the ESR Storage Ring with the LSA Control System	accumulation, experiment, operation, injection	534
	S.A. Litvinov, R. Hess, B. Lorentz, M. Steck GSI, Darmstadt, Germany
	The LHC Software Architecture (LSA) has been applied to the accelerator complex GSI, Germany as a new control system. The Experimental Storage Ring (ESR) was recommissioned with the LSA and different accelerator and physics experiments were performed in the last several years. The overview of the ESR performance will be presented here. The features and challenges of the operation with LSA system will be outlined as well.
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP019
About •	Received ※ 06 October 2023 — Revised ※ 29 November 2023 — Accepted ※ 20 December 2023 — Issued ※ 20 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPDP020	Summary Report on Machine Learning-Based Applications at the Synchrotron Light Source Delta	injection, laser, controls, synchrotron	537
	D. Schirmer, S. Khan, A. Radha Krishnan DELTA, Dortmund, Germany
	In recent years, several control system applications using machine learning (ML) techniques have been developed and tested to automate the control and optimization of the 1.5 GeV synchrotron radiation source DELTA. These applications cover a wide range of tasks, including electron beam position correction, working point control, chromaticity adjustment, injection process optimization, as well as CHG-spectra (coherent harmonic generation) analysis. Various machine learning techniques have been used to implement these projects. This report provides an overview of these projects, summarizes the current results, and indicates ideas for future improvements.
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP020
About •	Received ※ 04 October 2023 — Accepted ※ 06 December 2023 — Issued ※ 13 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPDP030	Integration of an Optimizer Framework into the Control System at KARA	controls, injection, interface, framework	570
	C. Xu, E. Blomley, A.-S. Müller, A. Santamaria Garcia KIT, Karlsruhe, Germany M. Zhang PU, Princeton, New Jersey, USA
	Tuning particle accelerators is not straightforward, as they depend on a large number of non-linearly correlated parameters that, for example, drift over time. In recent years advanced numerical optimization tools have been developed to assist human operators in tuning tasks. A proper interface between the optimizers and the control system will encourage their daily use by the accelerator operators. In this contribution, we present our latest progress in integrating an optimizer framework into the control system of the KARA storage ring at KIT, allowing the automatic tuning methods to be applied for routine tasks.
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP030
About •	Received ※ 06 October 2023 — Accepted ※ 04 December 2023 — Issued ※ 10 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPDP001	New Generation Qt Control Components for Hi Level Software	controls, EPICS, framework, TANGO	1291
	G. Strangolino, G. Gaio, R. Passuello Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	A new generation of Qt graphical components, namely cumbia-qtcontrols-ng is under development at ELETTRA. A common engine allows each component to be rendered on traditional QWidgets and scalable QGraphicsItems alike. The latter technology makes it possible to integrate live controls with static SVG in order to realize any kind of synoptic with touch and scaling capabilities. A pluggable zoomer can be installed on any widget or graphics item. Apply numeric controls, Cartesian and Circular (Radar) plots are the first components realized.
	Poster THPDP001 [0.935 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THPDP001
About •	Received ※ 29 September 2023 — Revised ※ 14 November 2023 — Accepted ※ 20 December 2023 — Issued ※ 20 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPDP010	Update on the EBS Storage Ring Beam Dynamics Digital Twin	controls, optics, TANGO, SRF	1306
	S.M. Liuzzo, N. Carmignani, L.R. Carver, L. Hoummi, N. Leclercq, T.P. Perron, J.L. Pons, S.M. White ESRF, Grenoble, France
	The EBS storage ring control system is presently paired with an electron beam dynamics digital twin (the EBS control system simulator, EBSS). The EBSS reproduces many of the beam dynamics related quantities relevant for machine operation. This digital twin is used for the preparation and debug of software to deploy for operation. The EBSS is presently working only for the main storage ring and it is not directly connected to the machine operation but works in parallel and on demand. We present here the steps taken towards an on-line continuous use of the EBSS to monitor the evolution of not directly observable parameters such as beam optics. Simone Liuzzo, et al. The ESRF-EBS Simulator: A Commissioning Booster. 18th ICALEPCS, Oct 2021, Shanghai, China. MOPV012
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THPDP010
About •	Received ※ 27 September 2023 — Revised ※ 25 October 2023 — Accepted ※ 10 December 2023 — Issued ※ 16 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPDP016	Full Stack Performance Optimizations for FAIR Operation	controls, operation, timing, hardware	1325
	A. Schaller, H.C. Hüther, R. Mueller, A. Walter GSI, Darmstadt, Germany
	In the last beam times, operations reported a lack of performance and long waiting times when performing simple changes of the machines’ settings. To ensure performant operation of the future Facility for Antiproton and Ion Research (FAIR), the "Task Force Performance" (TFP) was formed in mid-2020, which aimed at optimizing all involved Control System components. Baseline measurements were recorded for different scenarios to compare and evaluate the steps taken by the TFP. These measurements contained data from all underlying systems, from hardware device data supply over network traffic up to user interface applications. Individual groups searched, detected and fixed performance bottlenecks in their components of the Control System stack, and the interfaces between these individual components were inspected as well. The findings are presented here.
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THPDP016
About •	Received ※ 04 October 2023 — Revised ※ 29 November 2023 — Accepted ※ 13 December 2023 — Issued ※ 20 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

FR1BCO04	The Controls and Science IT Project for the SLS 2.0 Upgrade	controls, network, EPICS, experiment	1616
	A. Ashton, H.-H. Braun, S. Fries, X. Yao, E. Zimoch PSI, Villigen PSI, Switzerland
	Operation of the Swiss Light Source (SLS) at the Paul Scherrer Institue (PSI) in Switzerland began in 2000 and it quickly became one of the most successful synchrotron radiation facilities worldwide, providing academic and industry users with a suite of excellent beamlines covering a wide range of methods and applications. To maintain the SLS at the forefront of synchrotron user facilities and to exploit all of the improvement opportunities, PSI prepared a major upgrade project for SLS, named SLS 2.0. The Controls and Science IT (CaSIT) subproject was established to help instigate a project management structure to facilitate new concepts, increased communication, and clarify budgetary responsibility. This article focusses on the progress being made to exploit the current technological opportunities offered by a break in operations whilst taking into consideration future growth opportunities and realistic operational support within an academic research facility.
	Slides FR1BCO04 [6.389 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-FR1BCO04
About •	Received ※ 05 October 2023 — Revised ※ 10 October 2023 — Accepted ※ 20 November 2023 — Issued ※ 17 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

FR2AO05	Python Library for Simulated Commissioning of Storage-Ring Accelerators	MMI, lattice, simulation, closed-orbit	1637
	L. Malina, I.V. Agapov, J. Keil, E.S.H. Musa, B. Veglia DESY, Hamburg, Germany N. Carmignani, L.R. Carver, L. Hoummi, S.M. Liuzzo, T.P. Perron, S.M. White ESRF, Grenoble, France T. Hellert LBNL, Berkeley, California, USA
	Simulations of the commissioning procedure became vital to the storage-ring lattice design process. The achievable tolerances on lattice imperfections, such as equipment misalignments or magnet gradient errors, would, without correction, prohibit reaching the design parameters. We present a Python library which includes an extensive set of error sources in the accelerator lattice and provides a variety of correction algorithms to commission a storage ring. The underlying beam dynamics simulations are performed with pyAT. This project builds upon previous works and expands them in the direction of realistic control room experience and software maintainability. The performance is demonstrated using example commissioning studies, and further development plans are discussed.
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-FR2AO05
About •	Received ※ 06 October 2023 — Revised ※ 27 October 2023 — Accepted ※ 05 December 2023 — Issued ※ 19 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MO3AO01

Optimisation of the Touschek Lifetime in Synchrotron Light Sources Using Badger

sextupole, injection, operation, quadrupole

108

S.M. Liuzzo, N. Carmignani, L.R. Carver, L. Hoummi, D. Lacoste, A. Le Meillour, T.P. Perron, S.M. White
ESRF, Grenoble, France
I.V. Agapov, M. Böse, J. Keil, L. Malina, E.S.H. Musa, B. Veglia
DESY, Hamburg, Germany
A.L. Edelen, P. Raimondi, R.J. Roussel, Z. Zhang
SLAC, Menlo Park, California, USA
T. Hellert
LBNL, Berkeley, California, USA

Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 871072
Badger* is a software designed to easily access several optimizers (simplex, RCDS**, bayesian optimization, etc.) to solve a given multidimensional minimization/maximization task. The Badger software is very flexible and easy to adapt to different facilities. In the framework of the EURIZON European project Badger was used for the EBS and PETRAIII storage rings interfacing with the Tango and TINE control system. Among other tests, the optimisations of Touschek lifetime was performed and compared with the results obtained with existing tools during machine dedicated times.
* Z. Zhang et al., "Badger: The Missing Optimizer in ACR", doi:10.18429/JACoW-IPAC2022-TUPOST058
** X. Huang, "Robust simplex algorithm for online optimization", 10.1103/PhysRevAccelBeams.21.104601

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO01

About •

Received ※ 28 September 2023 — Revised ※ 08 October 2023 — Accepted ※ 13 October 2023 — Issued ※ 27 October 2023

Cite •

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

MO3AO02

Implementation of Model Predictive Control for Slow Orbit Feedback Control in MAX IV Accelerators Using PyTango Framework

controls, feedback, TANGO, operation

116

C. Takahashi, J. Breunlin, A. Freitas, M. Sjöström
MAX IV Laboratory, Lund University, Lund, Sweden
P. Giselsson, E. Jensen Gassheld, M. Karlsson
Lund University, Lund, Sweden

Achieving low emittance and high brightness in modern light sources requires stable beams, which are commonly achieved through feedback solutions. The MAX IV light source has two feedback systems, Fast Orbit Feedback (FOFB) and Slow Orbit Feedback (SOFB), operating in overlapping frequency regions. Currently in MAX IV, a general feedback device implemented in PyTango is used for slow orbit and trajectory correction, but an MPC controller for the beam orbit has been proposed to improve system robustness. The controller uses iterative optimisation of the system model, current measurements, dynamic states and system constraints to calculate changes in the controlled variables. The new device implements the MPC model according to the beam orbit response matrix, subscribes to change events on all beam position attributes and updates the control signal given to the slow magnets with a 10 Hz rate. This project aims to improve system robustness and reduce actuator saturation. The use of PyTango simplifies the implementation of the MPC controller by allowing access to high-level optimisation and control packages. This project will contribute to the development of a high-quality feedback control system for MAX IV accelerators.

Slides MO3AO02 [4.234 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-MO3AO02

About •

Received ※ 05 October 2023 — Revised ※ 09 October 2023 — Accepted ※ 14 November 2023 — Issued ※ 19 December 2023

Cite •

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

TUPDP019

Operation of the ESR Storage Ring with the LSA Control System

accumulation, experiment, operation, injection

534

S.A. Litvinov, R. Hess, B. Lorentz, M. Steck
GSI, Darmstadt, Germany

The LHC Software Architecture (LSA) has been applied to the accelerator complex GSI, Germany as a new control system. The Experimental Storage Ring (ESR) was recommissioned with the LSA and different accelerator and physics experiments were performed in the last several years. The overview of the ESR performance will be presented here. The features and challenges of the operation with LSA system will be outlined as well.

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP019

About •

Received ※ 06 October 2023 — Revised ※ 29 November 2023 — Accepted ※ 20 December 2023 — Issued ※ 20 December 2023

Cite •

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

TUPDP020

Summary Report on Machine Learning-Based Applications at the Synchrotron Light Source Delta

injection, laser, controls, synchrotron

537

D. Schirmer, S. Khan, A. Radha Krishnan
DELTA, Dortmund, Germany

In recent years, several control system applications using machine learning (ML) techniques have been developed and tested to automate the control and optimization of the 1.5 GeV synchrotron radiation source DELTA. These applications cover a wide range of tasks, including electron beam position correction, working point control, chromaticity adjustment, injection process optimization, as well as CHG-spectra (coherent harmonic generation) analysis. Various machine learning techniques have been used to implement these projects. This report provides an overview of these projects, summarizes the current results, and indicates ideas for future improvements.

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP020

About •

Received ※ 04 October 2023 — Accepted ※ 06 December 2023 — Issued ※ 13 December 2023

Cite •

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

TUPDP030

Integration of an Optimizer Framework into the Control System at KARA

controls, injection, interface, framework

570

C. Xu, E. Blomley, A.-S. Müller, A. Santamaria Garcia
KIT, Karlsruhe, Germany
M. Zhang
PU, Princeton, New Jersey, USA

Tuning particle accelerators is not straightforward, as they depend on a large number of non-linearly correlated parameters that, for example, drift over time. In recent years advanced numerical optimization tools have been developed to assist human operators in tuning tasks. A proper interface between the optimizers and the control system will encourage their daily use by the accelerator operators. In this contribution, we present our latest progress in integrating an optimizer framework into the control system of the KARA storage ring at KIT, allowing the automatic tuning methods to be applied for routine tasks.

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP030

About •

Received ※ 06 October 2023 — Accepted ※ 04 December 2023 — Issued ※ 10 December 2023

Cite •

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

THPDP001

New Generation Qt Control Components for Hi Level Software

controls, EPICS, framework, TANGO

1291

G. Strangolino, G. Gaio, R. Passuello
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

A new generation of Qt graphical components, namely cumbia-qtcontrols-ng is under development at ELETTRA. A common engine allows each component to be rendered on traditional QWidgets and scalable QGraphicsItems alike. The latter technology makes it possible to integrate live controls with static SVG in order to realize any kind of synoptic with touch and scaling capabilities. A pluggable zoomer can be installed on any widget or graphics item. Apply numeric controls, Cartesian and Circular (Radar) plots are the first components realized.

Poster THPDP001 [0.935 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THPDP001

About •

Received ※ 29 September 2023 — Revised ※ 14 November 2023 — Accepted ※ 20 December 2023 — Issued ※ 20 December 2023

Cite •

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

THPDP010

Update on the EBS Storage Ring Beam Dynamics Digital Twin

controls, optics, TANGO, SRF

1306

S.M. Liuzzo, N. Carmignani, L.R. Carver, L. Hoummi, N. Leclercq, T.P. Perron, J.L. Pons, S.M. White
ESRF, Grenoble, France

The EBS storage ring control system is presently paired with an electron beam dynamics digital twin (the EBS control system simulator, EBSS*). The EBSS reproduces many of the beam dynamics related quantities relevant for machine operation. This digital twin is used for the preparation and debug of software to deploy for operation. The EBSS is presently working only for the main storage ring and it is not directly connected to the machine operation but works in parallel and on demand. We present here the steps taken towards an on-line continuous use of the EBSS to monitor the evolution of not directly observable parameters such as beam optics.
* Simone Liuzzo, et al. The ESRF-EBS Simulator: A Commissioning Booster. 18th ICALEPCS, Oct 2021, Shanghai, China. MOPV012

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THPDP010

About •

Received ※ 27 September 2023 — Revised ※ 25 October 2023 — Accepted ※ 10 December 2023 — Issued ※ 16 December 2023

Cite •

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

THPDP016

Full Stack Performance Optimizations for FAIR Operation

controls, operation, timing, hardware

1325

A. Schaller, H.C. Hüther, R. Mueller, A. Walter
GSI, Darmstadt, Germany

In the last beam times, operations reported a lack of performance and long waiting times when performing simple changes of the machines’ settings. To ensure performant operation of the future Facility for Antiproton and Ion Research (FAIR), the "Task Force Performance" (TFP) was formed in mid-2020, which aimed at optimizing all involved Control System components. Baseline measurements were recorded for different scenarios to compare and evaluate the steps taken by the TFP. These measurements contained data from all underlying systems, from hardware device data supply over network traffic up to user interface applications. Individual groups searched, detected and fixed performance bottlenecks in their components of the Control System stack, and the interfaces between these individual components were inspected as well. The findings are presented here.

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THPDP016

About •

Received ※ 04 October 2023 — Revised ※ 29 November 2023 — Accepted ※ 13 December 2023 — Issued ※ 20 December 2023

Cite •

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

FR1BCO04

The Controls and Science IT Project for the SLS 2.0 Upgrade

controls, network, EPICS, experiment

1616

A. Ashton, H.-H. Braun, S. Fries, X. Yao, E. Zimoch
PSI, Villigen PSI, Switzerland

Operation of the Swiss Light Source (SLS) at the Paul Scherrer Institue (PSI) in Switzerland began in 2000 and it quickly became one of the most successful synchrotron radiation facilities worldwide, providing academic and industry users with a suite of excellent beamlines covering a wide range of methods and applications. To maintain the SLS at the forefront of synchrotron user facilities and to exploit all of the improvement opportunities, PSI prepared a major upgrade project for SLS, named SLS 2.0. The Controls and Science IT (CaSIT) subproject was established to help instigate a project management structure to facilitate new concepts, increased communication, and clarify budgetary responsibility. This article focusses on the progress being made to exploit the current technological opportunities offered by a break in operations whilst taking into consideration future growth opportunities and realistic operational support within an academic research facility.

Slides FR1BCO04 [6.389 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-FR1BCO04

About •

Received ※ 05 October 2023 — Revised ※ 10 October 2023 — Accepted ※ 20 November 2023 — Issued ※ 17 December 2023

Cite •

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

FR2AO05

Python Library for Simulated Commissioning of Storage-Ring Accelerators

MMI, lattice, simulation, closed-orbit

1637

L. Malina, I.V. Agapov, J. Keil, E.S.H. Musa, B. Veglia
DESY, Hamburg, Germany
N. Carmignani, L.R. Carver, L. Hoummi, S.M. Liuzzo, T.P. Perron, S.M. White
ESRF, Grenoble, France
T. Hellert
LBNL, Berkeley, California, USA

Simulations of the commissioning procedure became vital to the storage-ring lattice design process. The achievable tolerances on lattice imperfections, such as equipment misalignments or magnet gradient errors, would, without correction, prohibit reaching the design parameters. We present a Python library which includes an extensive set of error sources in the accelerator lattice and provides a variety of correction algorithms to commission a storage ring. The underlying beam dynamics simulations are performed with pyAT. This project builds upon previous works and expands them in the direction of realistic control room experience and software maintainability. The performance is demonstrated using example commissioning studies, and further development plans are discussed.

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-FR2AO05

About •

Received ※ 06 October 2023 — Revised ※ 27 October 2023 — Accepted ※ 05 December 2023 — Issued ※ 19 December 2023

Cite •

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