IPAC2021 - List of Keywords (EPICS)

Paper	Title	Other Keywords	Page
MOPAB356	The ESS MEBT RF Buncher Cavities Conditioning Process	cavity, vacuum, controls, MEBT	1107
	I. Bustinduy, N. Garmendia, P.J. González, A. Kaftoosian, S. Masa, I. Mazkiaran, L.C. Medina, J.L. Muñoz ESS Bilbao, Zamudio, Spain J. Etxeberria, J.P.S. Martins ESS, Lund, Sweden
	Funding: This work is part of FEDER-TRACKS project, co-funded by the European Regional Development Fund (ERDF) . As part of the 5 MW European Spallation Source (ESS), the Medium Energy Beam Transport (MEBT) was designed, assembled, and installed in the tunnel since May 2020 by ESS-Bilbao. This section of the accelerator is located between the Radio Frequency Quadrupole (RFQ) and the Drift Tube Linac (DTL). The main purpose of the MEBT is to match the incoming beam from the RFQ both transversely and longitudinally into the DTL. The longitudinal matching is achieved by three 352.209 MHz RF buncher cavities. In this paper, we focus on the RF conditioning process for each set of power coupler and buncher cavity. For this purpose, different tools were developed on EPICS and Python as well as electronics hardware such as Fast Interlock Module (FIM) and timing system. These tools served to automatize both the cavity frequency tuning and the power ramp-up process and will be described in detail in the following sections.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-MOPAB356
About •	paper received ※ 18 May 2021 paper accepted ※ 09 June 2021 issue date ※ 25 August 2021
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPAB295	Upgrade to the EPICS Control System at the Argonne Wakefield Accelerator Test Facility	controls, interface, data-acquisition, LLRF	2173
	W. Liu, J.M. Byrd, D.S. Doran, G. Ha, A.N. Johnson, P. Piot, J.G. Power, J.H. Shao, G. Shen, C. Whiteford, E.E. Wisniewski ANL, Lemont, Illinois, USA
	Funding: US Department of Energy, Office of Science The Argonne Wakefield Accelerator (AWA) Test Facility has used a completely homebrewed, MS Windows-based control system for the last 20 years. In an effort to modernize the control system and prepare for an active machine learning program, the AWA will work with the Advanced Photon Source (APS) controls group to upgrade its control system to EPICS. The EPICS control system is expected to facilitate collaborations and support the future growth of AWA. An overview of the previous AWA control and data acquisition system is presented, along with a vision and path for completing the EPICS upgrade.
	Poster TUPAB295 [1.108 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB295
About •	paper received ※ 19 May 2021 paper accepted ※ 01 July 2021 issue date ※ 30 August 2021
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

TUPAB297	Data Archive System for Superconducting RIKEN Linear Accelerator at RIBF	controls, network, experiment, cyclotron	2178
	A. Uchiyama, N. Fukunishi, M. Kidera, M. Komiyama RIKEN Nishina Center, Wako, Japan
	At RIKEN Nishina Center, superconducting RIKEN Linear Accelerator (SRILAC) was newly installed at downstream of existing accelerator and upgraded for the search experiments of super-heavy-elements with atomic numbers of 119 and higher. For the data archiving and the data visualization in RI Beam Factory (RIBF) project, we have utilized RIBFCAS (RIBF control archive system) since 2009. For the number of archived data point was expected to increase dramatically for SRILAC, we introduced the Archiver Appliance for improvement of the data archiving performance. On the other hand, to realize a user-friendly system about the data visualization, the data of RIBFCAS and the Archiver Appliance should be visualized on the same system. In this system, by implementing a Web application to convert the RIBFCAS data to JSON format, it became possible to unify the data format with the Archiver Appliance and display the data with the same viewer software. In the SRILAC beam commissioning, it became to useful system for finding anomalies and understanding the behavior of superconducting cavity. In this conference, we report the system implementation, developed tool, and the future plan in detail.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB297
About •	paper received ※ 19 May 2021 paper accepted ※ 10 June 2021 issue date ※ 17 August 2021
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WEPAB293	The Trip Event Logger for Online Fault Diagnosis at the European XFEL	controls, cavity, FEL, operation	3344
	J.H.K. Timm, J. Branlard, A. Eichler, H. Schlarb DESY, Hamburg, Germany
	The low-level RF (LLRF) system at the European XFEL, DESY, is of major importance for a high-performant and reliable operation. Faults here can jeopardize the overall operation. Therefore, the trip event logger is currently developped, - a fault diagnosis tool to detect errors online, inform the operators and trigger automatic supervisory actions. Further goals are to provide information for a fault tree and event tree analysis as well as a database of labeled faulty data sets for offline analysis. The tool is based on the C++ framework ChimeraTK Application Core. With this close interconnection to the control system it is possible not only to monitor but also to intervene as it is of great importance for supervisory tasks. The core of the tool consists of fault analysis modules ranging from simple ones (e.g., limit checking) to advanced ones (model-based, machine learning, etc.). Within this paper the architecture and the implementation of the trip event logger are presented.
	Poster WEPAB293 [7.919 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB293
About •	paper received ※ 19 May 2021 paper accepted ※ 02 July 2021 issue date ※ 10 August 2021
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPAB300	Python Based Tools for FRIB LLRF Operation and Management	controls, LLRF, cavity, linac	3367
	S.R. Kunjir, D.G. Morris, S. Zhao FRIB, East Lansing, Michigan, USA
	Funding: This work is supported by the US Department of Energy Office of Science under Cooperative Agreement DE-SC0000661, the State of Michigan and Michigan State University. Some Python based tools have been developed at the Facility for Rare Isotope Beams (FRIB) for the ease of operation and management of the low level radio frequency (LLRF) controllers. Utilizing the rich features in Python, some tasks can be easily applied to a whole segment, one type of cryomodule (CM), a specific cryomodule or individual cavities grouped by a complex custom query. The tasks include, for example, 1) testing interface connections between various sub-systems prior to an operational run; 2) setting, checking and saving/restoring parameters during and after an operational run; 3) updating LLRF controller firmware and software during maintenance. With these tools, routine manual tasks are streamlined to achieve significantly greater efficiency in terms of scalability, time, memory and network resources. Considering channel access security, beam on/off status etc., the strategy of choosing either input/output controller (IOC) or Python for the implementation of certain tasks is also discussed in the paper.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB300
About •	paper received ※ 18 May 2021 paper accepted ※ 01 July 2021 issue date ※ 24 August 2021
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPAB317	Online Model Developments for BESSY II and MLS	controls, MMI, synchrotron, kicker	3413
	P. Schnizer, J. Bengtsson, T. Birke, J. Li, T. Mertens, M. Ries, A. Schälicke, L. Vera Ramirez HZB, Berlin, Germany
	Digital models have been developed over a long time for preparing accelerator commissioning next to benchmarking theory predictions to machine measurements. These digital models are nowadays being realized as digital shadows or digital twins. Accelerator commissioning requires periodic setup and review of the machine status. Furthermore, different measurements are only practical by comparison to the machine model (e.g. beam based alignment). In this paper we describe the architecture chosen for our models, describe the framework Bluesky for measurement orchestration and report on our experience exemplifying on dynamic aperture scans. Furthermore we describe our plans to extend the models applied to BESSY~II and MLS to the currently planned machines BESSY~III and MLS~II.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB317
About •	paper received ※ 19 May 2021 paper accepted ※ 28 July 2021 issue date ※ 21 August 2021
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPAB320	RecCeiver-ETCD: A Bridge Between ETCD and ChannelFinder	operation, insertion, status, database	3424
	G. Jhang, T. Ashwarya, A. Carriveau FRIB, East Lansing, Michigan, USA
	Funding: Work supported by the U.S. Department of Energy Office of Science under Cooperative Agreement DE-SC0000661 Managing EPICS Process Variables’~(PVs) metadata, such as the host and the contact, is one of the important tasks for the operation of large-scale accelerator facilities with minimal downtime. Record Sychronizer~(RecSync) provides a way to manage such crucial information in an EPICS Input-Output Controller~(IOC). RecCeiver-ETCD is the server component of the RecSync-ETCD, or an extension of RecCeiver for ETCD. In the previous work, the client component of RecSync, or RecCaster, has been extended to RecCaster-ETCD to store the metadata into an ETCD key-value store. An important remaining step to the production use is to introduce a connection between ETCD and ChannelFinder, which is achieved by RecCeiver in the RecSync system. RecCeiver-ETCD plays the role of the original RecCeiver in the RecSync-ETCD system. RecCeiver-ETCD is designed to perform the specific operation, bridging the communication between ETCD and ChannelFinder. In addition, its simple implementation does not hold it down to ChannelFinder and makes it easy to extend RecCeiver-ETCD out to the other applications.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB320
About •	paper received ※ 11 May 2021 paper accepted ※ 19 July 2021 issue date ※ 17 August 2021
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPAB323	High Performance DAQ Infrastructure to Enable Machine Learning for the Advanced Photon Source Upgrade	monitoring, controls, data-acquisition, hardware	3434
	G. Shen, N.D. Arnold, T.G. Berenc, J. Carwardine, E. Chandler, T. Fors, T.J. Madden, D.R. Paskvan, C. Roehrig, S.E. Shoaf, S. Veseli ANL, Lemont, Illinois, USA
	Funding: Argonne National Laboratory’s work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under contract DE-AC02-06CH11357. It is well known that the efficiency of an advanced control algorithm like machine learning is as good as its data quality. Much recent progress in technology enables the massive data acquisition from a control system of modern particle accelerator, and the wide use of embedded controllers, like field-programmable gate arrays (FPGA), provides an opportunity to collect fast data from technical subsystems for monitoring, statistics, diagnostics or fault recording. To improve the data quality, at the APS Upgrade project, a general-purpose data acquisition (DAQ) system is under active development. The APS-U DAQ system collects high-quality fast data from underneath embedded controllers, especially the FPGAs, with the manner of time-correlation and synchronously sampling, which could be used for commissioning, performance monitoring, troubleshooting, and early fault detection, etc. This paper presents the design and latest progress of APS-U high-performance DAQ infrastructure, as well as its preparation to enable the use of machine learning technology for APS-U, and its use cases at APS.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB323
About •	paper received ※ 19 May 2021 paper accepted ※ 24 June 2021 issue date ※ 29 August 2021
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPAB394	Development of a New Interlock and Data Acquisition for the RF System at High Energy Photon Source	controls, cavity, FPGA, PLC	3630
	Z.W. Deng, J.P. Dai, H.Y. Lin, Q.Y. Wang, P. Zhang IHEP, Beijing, People’s Republic of China
	Funding: This work was supported by High Energy Photon Source, a major national science and technology infrastructure in China. A new interlock and data acquisition (DAQ) system is being developed for the RF system at High Energy Photon Source (HEPS) to protect essential devices as well as to locate the fault. Various signals collected and pre-processed by the DAQ system and individual interlock signals from solid-state power amplifiers, low-level RFs, arc detectors, etc. are sent to the interlock system for logic decision to control the RF switch. Programmable logic controllers (PLC) are used to collect slow signals like temperature, water flowrate, etc., while fast acquisition for RF signals is realized by dedicated boards with down-conversion frontend and digital signal processing boards. In order to improve the response time, field programmable gate array (FPGA) has been used for interlock logic implementation with an embedded experimental physics and industrial control system (EPICS). Data storage is managed by using EPICS Archiver Appliance and an operator interface is developed by using Control System Studio (CSS) running on a standalone computer. This paper presents the design and the first test of the new interlock and DAQ for HEPS RF system.
	Poster WEPAB394 [2.140 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB394
About •	paper received ※ 16 May 2021 paper accepted ※ 14 July 2021 issue date ※ 31 August 2021
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THPAB259	High Level Applications for Sirius Accelerators Control	controls, operation, MMI, interface	4314
	A.C.S. Oliveira, M.B. Alves, L. Liu, X.R. Resende, F.H. de Sá LNLS, Campinas, Brazil
	Sirius is a 4th generation 3 GeV synchrotron light source that has just finalised the first commissioning phase at the Brazilian Center for Research in Energy and Materials (CNPEM) campus in Campinas, Brazil. The large number of process variables and large complexity of the subsystems in this type of machine requires the development of tools to simplify the commissioning and operation of the accelerators. This paper describes some of the high level control tools developed for the accelerators commissioning and future operation.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-THPAB259
About •	paper received ※ 19 May 2021 paper accepted ※ 13 July 2021 issue date ※ 21 August 2021
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THPAB264	FOFB System Upgrade to ZynqMP FPGA with Fast ORM Measurement	FPGA, closed-orbit, storage-ring, hardware	4322
	Y.E. Tan, S. Chen, R.B. Hogan, A. Michalczyk AS - ANSTO, Clayton, Australia
	The FOFB processor has been ported from a Vertex 6 FPGA to a ZynqMP SoC (System on Chip) to provide additional resources to include the enhanced orbit diagnostics (EOD) system that has been designed to inject sinusoidal and pink noise through the feedback loop. The amplitude, duration, phase and frequency of sinusoidal, amplitude and duration of pink noise is user programmable.
	Poster THPAB264 [1.601 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-THPAB264
About •	paper received ※ 04 June 2021 paper accepted ※ 26 July 2021 issue date ※ 15 August 2021
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MOPAB356

The ESS MEBT RF Buncher Cavities Conditioning Process

cavity, vacuum, controls, MEBT

1107

I. Bustinduy, N. Garmendia, P.J. González, A. Kaftoosian, S. Masa, I. Mazkiaran, L.C. Medina, J.L. Muñoz
ESS Bilbao, Zamudio, Spain
J. Etxeberria, J.P.S. Martins
ESS, Lund, Sweden

Funding: This work is part of FEDER-TRACKS project, co-funded by the European Regional Development Fund (ERDF) .
As part of the 5 MW European Spallation Source (ESS), the Medium Energy Beam Transport (MEBT) was designed, assembled, and installed in the tunnel since May 2020 by ESS-Bilbao. This section of the accelerator is located between the Radio Frequency Quadrupole (RFQ) and the Drift Tube Linac (DTL). The main purpose of the MEBT is to match the incoming beam from the RFQ both transversely and longitudinally into the DTL. The longitudinal matching is achieved by three 352.209 MHz RF buncher cavities. In this paper, we focus on the RF conditioning process for each set of power coupler and buncher cavity. For this purpose, different tools were developed on EPICS and Python as well as electronics hardware such as Fast Interlock Module (FIM) and timing system. These tools served to automatize both the cavity frequency tuning and the power ramp-up process and will be described in detail in the following sections.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-MOPAB356

About •

paper received ※ 18 May 2021 paper accepted ※ 09 June 2021 issue date ※ 25 August 2021

Export •

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

TUPAB295

Upgrade to the EPICS Control System at the Argonne Wakefield Accelerator Test Facility

controls, interface, data-acquisition, LLRF

2173

W. Liu, J.M. Byrd, D.S. Doran, G. Ha, A.N. Johnson, P. Piot, J.G. Power, J.H. Shao, G. Shen, C. Whiteford, E.E. Wisniewski
ANL, Lemont, Illinois, USA

Funding: US Department of Energy, Office of Science
The Argonne Wakefield Accelerator (AWA) Test Facility has used a completely homebrewed, MS Windows-based control system for the last 20 years. In an effort to modernize the control system and prepare for an active machine learning program, the AWA will work with the Advanced Photon Source (APS) controls group to upgrade its control system to EPICS. The EPICS control system is expected to facilitate collaborations and support the future growth of AWA. An overview of the previous AWA control and data acquisition system is presented, along with a vision and path for completing the EPICS upgrade.

Poster TUPAB295 [1.108 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB295

About •

paper received ※ 19 May 2021 paper accepted ※ 01 July 2021 issue date ※ 30 August 2021

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

TUPAB297

Data Archive System for Superconducting RIKEN Linear Accelerator at RIBF

controls, network, experiment, cyclotron

2178

A. Uchiyama, N. Fukunishi, M. Kidera, M. Komiyama
RIKEN Nishina Center, Wako, Japan

At RIKEN Nishina Center, superconducting RIKEN Linear Accelerator (SRILAC) was newly installed at downstream of existing accelerator and upgraded for the search experiments of super-heavy-elements with atomic numbers of 119 and higher. For the data archiving and the data visualization in RI Beam Factory (RIBF) project, we have utilized RIBFCAS (RIBF control archive system) since 2009. For the number of archived data point was expected to increase dramatically for SRILAC, we introduced the Archiver Appliance for improvement of the data archiving performance. On the other hand, to realize a user-friendly system about the data visualization, the data of RIBFCAS and the Archiver Appliance should be visualized on the same system. In this system, by implementing a Web application to convert the RIBFCAS data to JSON format, it became possible to unify the data format with the Archiver Appliance and display the data with the same viewer software. In the SRILAC beam commissioning, it became to useful system for finding anomalies and understanding the behavior of superconducting cavity. In this conference, we report the system implementation, developed tool, and the future plan in detail.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB297

About •

paper received ※ 19 May 2021 paper accepted ※ 10 June 2021 issue date ※ 17 August 2021

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

WEPAB293

The Trip Event Logger for Online Fault Diagnosis at the European XFEL

controls, cavity, FEL, operation

3344

J.H.K. Timm, J. Branlard, A. Eichler, H. Schlarb
DESY, Hamburg, Germany

The low-level RF (LLRF) system at the European XFEL, DESY, is of major importance for a high-performant and reliable operation. Faults here can jeopardize the overall operation. Therefore, the trip event logger is currently developped, - a fault diagnosis tool to detect errors online, inform the operators and trigger automatic supervisory actions. Further goals are to provide information for a fault tree and event tree analysis as well as a database of labeled faulty data sets for offline analysis. The tool is based on the C++ framework ChimeraTK Application Core. With this close interconnection to the control system it is possible not only to monitor but also to intervene as it is of great importance for supervisory tasks. The core of the tool consists of fault analysis modules ranging from simple ones (e.g., limit checking) to advanced ones (model-based, machine learning, etc.). Within this paper the architecture and the implementation of the trip event logger are presented.

Poster WEPAB293 [7.919 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB293

About •

paper received ※ 19 May 2021 paper accepted ※ 02 July 2021 issue date ※ 10 August 2021

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

WEPAB300

Python Based Tools for FRIB LLRF Operation and Management

controls, LLRF, cavity, linac

3367

S.R. Kunjir, D.G. Morris, S. Zhao
FRIB, East Lansing, Michigan, USA

Funding: This work is supported by the US Department of Energy Office of Science under Cooperative Agreement DE-SC0000661, the State of Michigan and Michigan State University.
Some Python based tools have been developed at the Facility for Rare Isotope Beams (FRIB) for the ease of operation and management of the low level radio frequency (LLRF) controllers. Utilizing the rich features in Python, some tasks can be easily applied to a whole segment, one type of cryomodule (CM), a specific cryomodule or individual cavities grouped by a complex custom query. The tasks include, for example, 1) testing interface connections between various sub-systems prior to an operational run; 2) setting, checking and saving/restoring parameters during and after an operational run; 3) updating LLRF controller firmware and software during maintenance. With these tools, routine manual tasks are streamlined to achieve significantly greater efficiency in terms of scalability, time, memory and network resources. Considering channel access security, beam on/off status etc., the strategy of choosing either input/output controller (IOC) or Python for the implementation of certain tasks is also discussed in the paper.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB300

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paper received ※ 18 May 2021 paper accepted ※ 01 July 2021 issue date ※ 24 August 2021

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

WEPAB317

Online Model Developments for BESSY II and MLS

controls, MMI, synchrotron, kicker

3413

P. Schnizer, J. Bengtsson, T. Birke, J. Li, T. Mertens, M. Ries, A. Schälicke, L. Vera Ramirez
HZB, Berlin, Germany

Digital models have been developed over a long time for preparing accelerator commissioning next to benchmarking theory predictions to machine measurements. These digital models are nowadays being realized as digital shadows or digital twins. Accelerator commissioning requires periodic setup and review of the machine status. Furthermore, different measurements are only practical by comparison to the machine model (e.g. beam based alignment). In this paper we describe the architecture chosen for our models, describe the framework Bluesky for measurement orchestration and report on our experience exemplifying on dynamic aperture scans. Furthermore we describe our plans to extend the models applied to BESSY~II and MLS to the currently planned machines BESSY~III and MLS~II.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB317

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paper received ※ 19 May 2021 paper accepted ※ 28 July 2021 issue date ※ 21 August 2021

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WEPAB320

RecCeiver-ETCD: A Bridge Between ETCD and ChannelFinder

operation, insertion, status, database

3424

G. Jhang, T. Ashwarya, A. Carriveau
FRIB, East Lansing, Michigan, USA

Funding: Work supported by the U.S. Department of Energy Office of Science under Cooperative Agreement DE-SC0000661
Managing EPICS Process Variables’~(PVs) metadata, such as the host and the contact, is one of the important tasks for the operation of large-scale accelerator facilities with minimal downtime. Record Sychronizer~(RecSync) provides a way to manage such crucial information in an EPICS Input-Output Controller~(IOC). RecCeiver-ETCD is the server component of the RecSync-ETCD, or an extension of RecCeiver for ETCD. In the previous work, the client component of RecSync, or RecCaster, has been extended to RecCaster-ETCD to store the metadata into an ETCD key-value store. An important remaining step to the production use is to introduce a connection between ETCD and ChannelFinder, which is achieved by RecCeiver in the RecSync system. RecCeiver-ETCD plays the role of the original RecCeiver in the RecSync-ETCD system. RecCeiver-ETCD is designed to perform the specific operation, bridging the communication between ETCD and ChannelFinder. In addition, its simple implementation does not hold it down to ChannelFinder and makes it easy to extend RecCeiver-ETCD out to the other applications.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB320

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paper received ※ 11 May 2021 paper accepted ※ 19 July 2021 issue date ※ 17 August 2021

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WEPAB323

High Performance DAQ Infrastructure to Enable Machine Learning for the Advanced Photon Source Upgrade

monitoring, controls, data-acquisition, hardware

3434

G. Shen, N.D. Arnold, T.G. Berenc, J. Carwardine, E. Chandler, T. Fors, T.J. Madden, D.R. Paskvan, C. Roehrig, S.E. Shoaf, S. Veseli
ANL, Lemont, Illinois, USA

Funding: Argonne National Laboratory’s work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under contract DE-AC02-06CH11357.
It is well known that the efficiency of an advanced control algorithm like machine learning is as good as its data quality. Much recent progress in technology enables the massive data acquisition from a control system of modern particle accelerator, and the wide use of embedded controllers, like field-programmable gate arrays (FPGA), provides an opportunity to collect fast data from technical subsystems for monitoring, statistics, diagnostics or fault recording. To improve the data quality, at the APS Upgrade project, a general-purpose data acquisition (DAQ) system is under active development. The APS-U DAQ system collects high-quality fast data from underneath embedded controllers, especially the FPGAs, with the manner of time-correlation and synchronously sampling, which could be used for commissioning, performance monitoring, troubleshooting, and early fault detection, etc. This paper presents the design and latest progress of APS-U high-performance DAQ infrastructure, as well as its preparation to enable the use of machine learning technology for APS-U, and its use cases at APS.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB323

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paper received ※ 19 May 2021 paper accepted ※ 24 June 2021 issue date ※ 29 August 2021

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

WEPAB394

Development of a New Interlock and Data Acquisition for the RF System at High Energy Photon Source

controls, cavity, FPGA, PLC

3630

Z.W. Deng, J.P. Dai, H.Y. Lin, Q.Y. Wang, P. Zhang
IHEP, Beijing, People’s Republic of China

Funding: This work was supported by High Energy Photon Source, a major national science and technology infrastructure in China.
A new interlock and data acquisition (DAQ) system is being developed for the RF system at High Energy Photon Source (HEPS) to protect essential devices as well as to locate the fault. Various signals collected and pre-processed by the DAQ system and individual interlock signals from solid-state power amplifiers, low-level RFs, arc detectors, etc. are sent to the interlock system for logic decision to control the RF switch. Programmable logic controllers (PLC) are used to collect slow signals like temperature, water flowrate, etc., while fast acquisition for RF signals is realized by dedicated boards with down-conversion frontend and digital signal processing boards. In order to improve the response time, field programmable gate array (FPGA) has been used for interlock logic implementation with an embedded experimental physics and industrial control system (EPICS). Data storage is managed by using EPICS Archiver Appliance and an operator interface is developed by using Control System Studio (CSS) running on a standalone computer. This paper presents the design and the first test of the new interlock and DAQ for HEPS RF system.

Poster WEPAB394 [2.140 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-WEPAB394

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paper received ※ 16 May 2021 paper accepted ※ 14 July 2021 issue date ※ 31 August 2021

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THPAB259

High Level Applications for Sirius Accelerators Control

controls, operation, MMI, interface

4314

A.C.S. Oliveira, M.B. Alves, L. Liu, X.R. Resende, F.H. de Sá
LNLS, Campinas, Brazil

Sirius is a 4th generation 3 GeV synchrotron light source that has just finalised the first commissioning phase at the Brazilian Center for Research in Energy and Materials (CNPEM) campus in Campinas, Brazil. The large number of process variables and large complexity of the subsystems in this type of machine requires the development of tools to simplify the commissioning and operation of the accelerators. This paper describes some of the high level control tools developed for the accelerators commissioning and future operation.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-THPAB259

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paper received ※ 19 May 2021 paper accepted ※ 13 July 2021 issue date ※ 21 August 2021

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THPAB264

FOFB System Upgrade to ZynqMP FPGA with Fast ORM Measurement

FPGA, closed-orbit, storage-ring, hardware

4322

Y.E. Tan, S. Chen, R.B. Hogan, A. Michalczyk
AS - ANSTO, Clayton, Australia

The FOFB processor has been ported from a Vertex 6 FPGA to a ZynqMP SoC (System on Chip) to provide additional resources to include the enhanced orbit diagnostics (EOD) system that has been designed to inject sinusoidal and pink noise through the feedback loop. The amplitude, duration, phase and frequency of sinusoidal, amplitude and duration of pink noise is user programmable.

Poster THPAB264 [1.601 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-THPAB264

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paper received ※ 04 June 2021 paper accepted ※ 26 July 2021 issue date ※ 15 August 2021

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