ICALEPCS2021 - List of Keywords (FEL)

Paper	Title	Other Keywords	Page
MOBL04	Karabo Data Logging: InfluxDB Backend and Grafana UI	controls, operation, GUI, database	56
	G. Flucke, V. Bondar, R. Costa, W. Ehsan, S.G. Esenov, R. Fabbri, G. Giovanetti, D. Goeries, S. Hauf, D.G. Hickin, A. Klimovskaia, A. Lein, L.G. Maia, D. Mamchyk, A. Parenti, G. Previtali, A. Silenzi, J. Szuba, M. Teichmann, K. Wrona, C. Youngman EuXFEL, Schenefeld, Germany D.P. Spruce MAX IV Laboratory, Lund University, Lund, Sweden
	The photon beam lines and instruments at the European XFEL (EuXFEL) are operated using the Karabo* control system that has been developed in house since 2011. Monitoring and incident analysis requires quick access to historic values of control data. While Karabo’s original custom-built text-file-based data logging system suits well for small systems, a time series data base offers in general a faster data access, as well as advanced data filtering, aggregation and reduction options. EuXFEL has chosen InfluxDB as backend that is operated since summer 2020. Historic data can be displayed as before via the Karabo GUI or now also via the powerful Grafana* web interface. The latter is e.g. used heavily in the new Data Operation Center of the EuXFEL. This contribution describes the InfluxDB setup, its transparent integration into Karabo and the experiences gained since it is in operation. * Steffen Hauf et al., J. Synchrotron Rad. (2019). 26, 1448-1461 https://docs.influxdata.com/influxdb/ * https://grafana.com/grafana/
	Slides MOBL04 [3.204 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOBL04
About •	Received ※ 13 October 2021 Accepted ※ 16 November 2021 Issue date ※ 06 January 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEBL02	Prototype of Image Acquisition and Storage System for SHINE	interface, network, laser, database	564
	H.H. Lv, D.P. Bai, X.M. Liu, H. Zhao SSRF, Shanghai, People’s Republic of China
	Shanghai HIgh repetition rate XFEL aNd Extreme light facility (SHINE) is a quasi-continuous wave hard X-ray free electron laser facility, which is currently under construction. The image acquisition and storage system has been designed to handle a large quantity of image data generated by the beam and X-ray diagnostics system, the laser system, etc. A prototype system with Camera Link cameras has been developed to acquire and to reliably transport data at a throughput of 1000MB/sec. The image data are transferred through ZeroMQ protocol to the storage where the image data and the relevant metadata are archived and made available for user analysis. For high-speed frames of image data storage, optimized schema is identified by comparing and testing four schemas. The image data are written to HDF5 files and the metadata pertaining to the image are stored in NoSQL database. It could deliver up to 1.2GB/sec storage speed. The performances are also contrasted between a stand-alone server and the Lustre file system. And the Lustre could provide a better performance. Details of the image acquisition, transfer, and storage schemas will be described in the paper.
	Slides WEBL02 [3.703 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL02
About •	Received ※ 10 October 2021 Accepted ※ 21 November 2021 Issue date ※ 12 February 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPV020	Learning to Lase: Machine Learning Prediction of FEL Beam Properties	network, diagnostics, simulation, electron	677
	A.E. Pollard, D.J. Dunning STFC/DL/ASTeC, Daresbury, Warrington, Cheshire, United Kingdom M. Maheshwari STFC/DL, Daresbury, Warrington, Cheshire, United Kingdom
	Accurate prediction of longitudinal phase space and other properties of the electron beam are computationally expensive. In addition, some diagnostics are destructive in nature and/or cannot be readily accessed. Machine learning based virtual diagnostics can allow for the real-time generation of longitudinal phase space and other graphs, allowing for rapid parameter searches, and enabling operators to predict otherwise unavailable beam properties. We present a machine learning model for predicting a range of diagnostic screens along the accelerator beamline of a free-electron laser facility, conditional on linac and other parameters. Our model is a combination of a conditional variational autoencoder and a generative adversarial network, which generates high fidelity images that accurately match simulation data. Work to date is based on start-to-end simulation data, as a prototype for experimental applications.
	Poster WEPV020 [1.330 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV020
About •	Received ※ 10 October 2021 Revised ※ 22 October 2021 Accepted ※ 28 December 2021 Issue date ※ 25 February 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPV040	Design of Machine Protection System for SXFEL-UF	controls, operation, interface, vacuum	750
	C.L. Yu, J.G. Ding, H. Zhao SSRF, Shanghai, People’s Republic of China
	Shanghai Soft X-ray Free-Electron Laser (SXFEL) facility is divided into two phases: the SXFEL test facility (SXFEL-TF) and the SXFEL user facility (SXFEL-UF). SXFEL-TF has met all the design specifications and has been available in beam operating state. SXFEL-UF is currently under commissioning and is planned to generate 3 nm FEL radiation using a 1.5 GeV electron LINAC. To protect the critical equipment rapidly and effectively from unexpected damage, a reliable safety interlocking system needs to be designed. Machine Protection System (MPS) is designed by Programmable Logic Controller (PLC) and Experimental Physics and Industrial Control System (EPICS) which is based on a master-slave architecture. In order to meet different commissioning and operation requirements, the management and switching functions of eight operation modes are introduced in the MPS system. There are two FEL line in user facility named SXFEL beamline project (BSP) and undulator (UD) , and the corresponding design of MPS is completed. This paper focuses on the progress and challenges associated with the SXFEL-UF MPS.
	Poster WEPV040 [0.883 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV040
About •	Received ※ 10 October 2021 Revised ※ 20 October 2021 Accepted ※ 21 November 2021 Issue date ※ 07 December 2021
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THBR03	Prototype of White Rabbit Based Beam-Synchronous Timing Systems for SHINE	network, timing, electron, controls	853
	P.X. Yu, Y.B. Yan SSRF, Shanghai, People’s Republic of China G.H. Gong Tsinghua University, Beijing, People’s Republic of China G. Gu, Z.Y. Jiang, L. Zhao USTC, Hefei, Anhui, People’s Republic of China Y.M. Ye TUB, Beijing, People’s Republic of China
	Shanghai HIgh repetition rate XFEL aNd Extreme light facility (SHINE) is under construction. SHINE requires precise distribution and synchronization of the 1.003086MHz timing signals over a long distance of about 3.1 km. Two prototype systems were developed, both containing three functions: beam-synchronous trigger signal distribution, random-event trigger signal distribution and data exchange between nodes. The frequency of the beam-synchronous trigger signal can be divided according to the accelerator operation mode. Each output pulse can be configured for different fill modes. A prototype system was designed based on a customized clock frequency point (64.197530MHz). Another prototype system was designed based on the standard White Rabbit protocol. The DDS (Direct Digital Synthesis) and D flip-flops (DFFs) are adopted for RF signal transfer and pulse configuration. The details of the timing system design and test results will be reported in this paper.
	Slides THBR03 [3.344 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THBR03
About •	Received ※ 11 October 2021 Revised ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 10 February 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

THPV025	A New Timing System for PETRA IV	timing, controls, hardware, synchrotron	916
	T. Wilksen, A. Aghababyan, K. Brede, H.T. Duhme, M. Fenner, U. Hurdelbrink, H. Kay, H. Lippek, H. Schlarb DESY, Hamburg, Germany
	At DESY an upgrade of the PETRA III synchrotron light source towards a fourth-generation, low emittance machine PETRA IV is currently being actively pursued. The realization of this new machine implies a new design of the timing and synchronization system since requirements on beam quality and controls will significantly change from the existing implementation at PETRA III. The technical design phase of the PETRA IV project is in mid-phase and supposed to deliver a Technical Design Report by end of next year. The conceptual layout of the timing system will follow the successful MTCA.4-based approach as in use at the European XFEL. It will be enhanced to meet the requirements of a synchrotron facility and its booster and linac pre-accelerators. We present general concepts of the timing system, its integration into the control system as well as first specifications of the MTCA.4-based hardware components.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV025
About •	Received ※ 10 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 November 2021 Issue date ※ 11 January 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

FRAL04	The Control System of the New Small Wheel Electronics for the Atlas Experiment	detector, controls, electron, electronics	1005
	P. Tzanis NTUA, Athens, Greece
	The present ATLAS Small Wheel Muon detector will be replaced with a New Small Wheel(NSW) detector in order to cope up with the future LHC runs of high luminosity. One crucial part of the integration procedure concerns the validation of the electronics for a system with more than 2.1 M electronic channels. The readout chain is based on optical link technology connecting the backend to the front-end electronics via the FELIX, which is a newly developed system that will serve as the next generation readout driver for ATLAS. For the configuration, calibration and monitoring path the various electronics boards are supplied with the GBT-SCA ASIC and its purpose is to distribute control and monitoring signals to the electronics. Due to its complexity, NSW electronics requires the development of a sophisticated Control System. The use of such a system is necessary to allow the electronics to function consistently, safely and as a seamless interface to all sub-detectors and the technical infrastructure of the experiment. The central system handles the transition between the probe’s possible operating states while ensuring continuous monitoring and archiving of the system’s operating parameters.
	Slides FRAL04 [18.694 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRAL04
About •	Received ※ 09 October 2021 Revised ※ 05 November 2021 Accepted ※ 20 November 2021 Issue date ※ 31 January 2022
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Other Keywords

Page

MOBL04

Karabo Data Logging: InfluxDB Backend and Grafana UI

controls, operation, GUI, database

56

G. Flucke, V. Bondar, R. Costa, W. Ehsan, S.G. Esenov, R. Fabbri, G. Giovanetti, D. Goeries, S. Hauf, D.G. Hickin, A. Klimovskaia, A. Lein, L.G. Maia, D. Mamchyk, A. Parenti, G. Previtali, A. Silenzi, J. Szuba, M. Teichmann, K. Wrona, C. Youngman
EuXFEL, Schenefeld, Germany
D.P. Spruce
MAX IV Laboratory, Lund University, Lund, Sweden

The photon beam lines and instruments at the European XFEL (EuXFEL) are operated using the Karabo* control system that has been developed in house since 2011. Monitoring and incident analysis requires quick access to historic values of control data. While Karabo’s original custom-built text-file-based data logging system suits well for small systems, a time series data base offers in general a faster data access, as well as advanced data filtering, aggregation and reduction options. EuXFEL has chosen InfluxDB** as backend that is operated since summer 2020. Historic data can be displayed as before via the Karabo GUI or now also via the powerful Grafana*** web interface. The latter is e.g. used heavily in the new Data Operation Center of the EuXFEL. This contribution describes the InfluxDB setup, its transparent integration into Karabo and the experiences gained since it is in operation.
* Steffen Hauf et al., J. Synchrotron Rad. (2019). 26, 1448-1461
** https://docs.influxdata.com/influxdb/
*** https://grafana.com/grafana/

Slides MOBL04 [3.204 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOBL04

About •

Received ※ 13 October 2021 Accepted ※ 16 November 2021 Issue date ※ 06 January 2022

Cite •

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

WEBL02

Prototype of Image Acquisition and Storage System for SHINE

interface, network, laser, database

564

H.H. Lv, D.P. Bai, X.M. Liu, H. Zhao
SSRF, Shanghai, People’s Republic of China

Shanghai HIgh repetition rate XFEL aNd Extreme light facility (SHINE) is a quasi-continuous wave hard X-ray free electron laser facility, which is currently under construction. The image acquisition and storage system has been designed to handle a large quantity of image data generated by the beam and X-ray diagnostics system, the laser system, etc. A prototype system with Camera Link cameras has been developed to acquire and to reliably transport data at a throughput of 1000MB/sec. The image data are transferred through ZeroMQ protocol to the storage where the image data and the relevant metadata are archived and made available for user analysis. For high-speed frames of image data storage, optimized schema is identified by comparing and testing four schemas. The image data are written to HDF5 files and the metadata pertaining to the image are stored in NoSQL database. It could deliver up to 1.2GB/sec storage speed. The performances are also contrasted between a stand-alone server and the Lustre file system. And the Lustre could provide a better performance. Details of the image acquisition, transfer, and storage schemas will be described in the paper.

Slides WEBL02 [3.703 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL02

About •

Received ※ 10 October 2021 Accepted ※ 21 November 2021 Issue date ※ 12 February 2022

Cite •

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

WEPV020

Learning to Lase: Machine Learning Prediction of FEL Beam Properties

network, diagnostics, simulation, electron

677

A.E. Pollard, D.J. Dunning
STFC/DL/ASTeC, Daresbury, Warrington, Cheshire, United Kingdom
M. Maheshwari
STFC/DL, Daresbury, Warrington, Cheshire, United Kingdom

Accurate prediction of longitudinal phase space and other properties of the electron beam are computationally expensive. In addition, some diagnostics are destructive in nature and/or cannot be readily accessed. Machine learning based virtual diagnostics can allow for the real-time generation of longitudinal phase space and other graphs, allowing for rapid parameter searches, and enabling operators to predict otherwise unavailable beam properties. We present a machine learning model for predicting a range of diagnostic screens along the accelerator beamline of a free-electron laser facility, conditional on linac and other parameters. Our model is a combination of a conditional variational autoencoder and a generative adversarial network, which generates high fidelity images that accurately match simulation data. Work to date is based on start-to-end simulation data, as a prototype for experimental applications.

Poster WEPV020 [1.330 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV020

About •

Received ※ 10 October 2021 Revised ※ 22 October 2021 Accepted ※ 28 December 2021 Issue date ※ 25 February 2022

Cite •

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

WEPV040

Design of Machine Protection System for SXFEL-UF

controls, operation, interface, vacuum

750

C.L. Yu, J.G. Ding, H. Zhao
SSRF, Shanghai, People’s Republic of China

Shanghai Soft X-ray Free-Electron Laser (SXFEL) facility is divided into two phases: the SXFEL test facility (SXFEL-TF) and the SXFEL user facility (SXFEL-UF). SXFEL-TF has met all the design specifications and has been available in beam operating state. SXFEL-UF is currently under commissioning and is planned to generate 3 nm FEL radiation using a 1.5 GeV electron LINAC. To protect the critical equipment rapidly and effectively from unexpected damage, a reliable safety interlocking system needs to be designed. Machine Protection System (MPS) is designed by Programmable Logic Controller (PLC) and Experimental Physics and Industrial Control System (EPICS) which is based on a master-slave architecture. In order to meet different commissioning and operation requirements, the management and switching functions of eight operation modes are introduced in the MPS system. There are two FEL line in user facility named SXFEL beamline project (BSP) and undulator (UD) , and the corresponding design of MPS is completed. This paper focuses on the progress and challenges associated with the SXFEL-UF MPS.

Poster WEPV040 [0.883 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV040

About •

Received ※ 10 October 2021 Revised ※ 20 October 2021 Accepted ※ 21 November 2021 Issue date ※ 07 December 2021

Cite •

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

THBR03

Prototype of White Rabbit Based Beam-Synchronous Timing Systems for SHINE

network, timing, electron, controls

853

P.X. Yu, Y.B. Yan
SSRF, Shanghai, People’s Republic of China
G.H. Gong
Tsinghua University, Beijing, People’s Republic of China
G. Gu, Z.Y. Jiang, L. Zhao
USTC, Hefei, Anhui, People’s Republic of China
Y.M. Ye
TUB, Beijing, People’s Republic of China

Shanghai HIgh repetition rate XFEL aNd Extreme light facility (SHINE) is under construction. SHINE requires precise distribution and synchronization of the 1.003086MHz timing signals over a long distance of about 3.1 km. Two prototype systems were developed, both containing three functions: beam-synchronous trigger signal distribution, random-event trigger signal distribution and data exchange between nodes. The frequency of the beam-synchronous trigger signal can be divided according to the accelerator operation mode. Each output pulse can be configured for different fill modes. A prototype system was designed based on a customized clock frequency point (64.197530MHz). Another prototype system was designed based on the standard White Rabbit protocol. The DDS (Direct Digital Synthesis) and D flip-flops (DFFs) are adopted for RF signal transfer and pulse configuration. The details of the timing system design and test results will be reported in this paper.

Slides THBR03 [3.344 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THBR03

About •

Received ※ 11 October 2021 Revised ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 10 February 2022

Cite •

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

THPV025

A New Timing System for PETRA IV

timing, controls, hardware, synchrotron

916

T. Wilksen, A. Aghababyan, K. Brede, H.T. Duhme, M. Fenner, U. Hurdelbrink, H. Kay, H. Lippek, H. Schlarb
DESY, Hamburg, Germany

At DESY an upgrade of the PETRA III synchrotron light source towards a fourth-generation, low emittance machine PETRA IV is currently being actively pursued. The realization of this new machine implies a new design of the timing and synchronization system since requirements on beam quality and controls will significantly change from the existing implementation at PETRA III. The technical design phase of the PETRA IV project is in mid-phase and supposed to deliver a Technical Design Report by end of next year. The conceptual layout of the timing system will follow the successful MTCA.4-based approach as in use at the European XFEL. It will be enhanced to meet the requirements of a synchrotron facility and its booster and linac pre-accelerators. We present general concepts of the timing system, its integration into the control system as well as first specifications of the MTCA.4-based hardware components.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV025

About •

Received ※ 10 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 November 2021 Issue date ※ 11 January 2022

Cite •

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

FRAL04

The Control System of the New Small Wheel Electronics for the Atlas Experiment

detector, controls, electron, electronics

1005

P. Tzanis
NTUA, Athens, Greece

The present ATLAS Small Wheel Muon detector will be replaced with a New Small Wheel(NSW) detector in order to cope up with the future LHC runs of high luminosity. One crucial part of the integration procedure concerns the validation of the electronics for a system with more than 2.1 M electronic channels. The readout chain is based on optical link technology connecting the backend to the front-end electronics via the FELIX, which is a newly developed system that will serve as the next generation readout driver for ATLAS. For the configuration, calibration and monitoring path the various electronics boards are supplied with the GBT-SCA ASIC and its purpose is to distribute control and monitoring signals to the electronics. Due to its complexity, NSW electronics requires the development of a sophisticated Control System. The use of such a system is necessary to allow the electronics to function consistently, safely and as a seamless interface to all sub-detectors and the technical infrastructure of the experiment. The central system handles the transition between the probe’s possible operating states while ensuring continuous monitoring and archiving of the system’s operating parameters.

Slides FRAL04 [18.694 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-FRAL04

About •

Received ※ 09 October 2021 Revised ※ 05 November 2021 Accepted ※ 20 November 2021 Issue date ※ 31 January 2022

Cite •

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