ICALEPCS2021 - List of Keywords (database)

Paper	Title	Other Keywords	Page
MOBL04	Karabo Data Logging: InfluxDB Backend and Grafana UI	FEL, controls, operation, GUI	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
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MOPV010	Working under Pandemic Conditions: Contact Tracing Meets Technology	software, network, site, distributed	121
	E. Blanco Viñuela, B. Copy, S. Danzeca, Ch. Delamare, R. Losito, A. Masi, E. Matli, T. Previero, R. Sierra CERN, Geneva, Switzerland
	Covid-19 has dramatically transformed our working practices with a big change to a teleworking model for many people. There are however many essential activities requiring personnel on site. In order to minimise the risks for its personnel CERN decided to take every measure possible, including internal contact tracing by the CERN medical service. This initially involved manual procedures which relied on people’s ability to remember past encounters. To improve this situation and minimise the number of employees who would need to be quarantined, CERN approved the design of a specific device: the Proximeter. The project goal was to design a wearable device, built in a partnership* with industry fulfilling the contact tracing needs of the medical service. The proximeter records other devices in close proximity and reports the encounters to a cloud-based system. The service came into operation early 2021 and 8000 devices were distributed to personnel working on the CERN site. This publication reports on the service offered, emphasising on the overall workflow of the project under exceptional conditions and the implications data privacy imposed on the design of the software application. * Terabee. https://www.terabee.com
	Poster MOPV010 [3.489 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV010
About •	Received ※ 11 October 2021 Revised ※ 26 October 2021 Accepted ※ 03 November 2021 Issue date ※ 18 December 2021
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MOPV021	Upgrading the National Ignition Facility’s (NIF) Integrated Computer Control System to Support Optical Thompson Scattering (OTS) Diagnostic	controls, laser, operation, alignment	173
	A.I. Barnes, A.A.S. Awwal, L. Beaulac, B. Blackwell, G.K. Brunton, K. Burns, J.R. Castro Morales, M. Fedorov, R. Lacuata, R.R. Leach, D.G. Mathisen, V.J. Miller Kamm, S. Muralidhar, V. Pacheu, Y. Pan, S. Patankar, B.P. Patel, M. Paul, R. Rozenshteyn, R.J. Sanchez, S. Sauter, M. Taranowski, D. Tucker, K.C. Wilhelmsen, B.A. Wilson, H. Zhang LLNL, Livermore, California, USA
	Funding: This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. With the ability to deliver 2.1 MJ of 500 TW ultraviolet laser light to a target, the National Ignition Facility (NIF) is the world’s most energetic laser. This combination of energy and power allows the study of materials under conditions similar to the center of the sun. On fusion ignition experiments, plasma generated in the interior of the target shell can detrimentally impact the implosion symmetry and the resulting energy output. We are in the final stages of commissioning a significant new diagnostic system that will allow us to better understand the plasma conditions and improve our symmetry control techniques. This Optical Thompson Scattering (OTS) system consists of two major components: a probe laser beamline capable of delivering a world first 1 J of energy at 211 nm, and a diagnostic that both reflects the probe laser into the target and collects the scattered photons. Between these two components, the control system enhancements required integration of over 450 components into the existing automation suite. This talk will provide an overview of the system upgrade approach and the tools used to efficiently manage and test changes to both our data and software.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV021
About •	Received ※ 09 October 2021 Accepted ※ 10 February 2022 Issue date ※ 21 February 2022
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MOPV024	vscode-epics, a VSCode Module to Enlighten Your EPICS Code	EPICS, feedback, GUI, HOM	179
	V. Nadot, A. Gaget, F. Gohier, F. Gougnaud, P. Lotrus, S. Tzvetkov CEA-IRFU, Gif-sur-Yvette, France
	vscode-epics is a Visual Studio Code module developed by CEA Irfu that aims to enlight your EPICS code. This module makes developer life easier, improves code quality and helps standardizing EPICS code. It provides syntax highlighting, snippets and header template for EPICS file and provides snippets for WeTest. This VSCode module is based on Visual Studio Code language Extension and it uses basic JSON files that make feature addition easy. The number of downloads increases version after version and the different feedback motivates us to strongly maintain it for the EPICS community. Since 2019, some laboratories of the EPICS community have participated in the improvement of the module and it seems to have a nice future (linter, snippet improvements, specific language support, etc.). The module is available on Visual Studio Code marketplace* and on EPICS extension GitHub**. CEA Irfu is open to bug notifications, enhancement suggestions and merge requests to continuously improve vscode-epics. https://github.com/epics-extensions/WeTest https://marketplace.visualstudio.com/items?itemName=nsd.vscode-epics * https://github.com/epics-extensions/vscode-epics
	Poster MOPV024 [0.508 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV024
About •	Received ※ 10 October 2021 Accepted ※ 04 November 2021 Issue date ※ 26 December 2021
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MOPV034	Migration of Tango Controls Source Code Repositories	TANGO, controls, software, Windows	209
	M. Liszcz, M. Celary, P.P. Goryl, K. Kedron S2Innovation, Kraków, Poland G. Abeillé SOLEIL, Gif-sur-Yvette, France B. Bertrand MAX IV Laboratory, Lund University, Lund, Sweden R. Bourtembourg, A. Götz ESRF, Grenoble, France T. Braun byte physics e.K., Berlin, Germany A.F. Joubert SARAO, Cape Town, South Africa A. López Sánchez, C. Pascual-Izarra, S. Rubio-Manrique ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain L. Pivetta Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	Funding: Tango Community At the turn of 2020/2021, the Tango community faced the challenge of a massive migration of all Tango software repositories from GitHub to GitLab. The motivation has been a change in the pricing model of the Travis CI provider and the shutdown of the JFrog Bintray service used for artifact hosting. GitLab has been chosen as a FOSS-friendly platform for storing both the code and build artifacts and for providing CI/CD services. The migration process faced several challenges, both technical, like redesign and rewrite of CI pipelines, and non-technical, like coordination of actions impacting multiple interdependent repositories. This paper explains the strategies adopted for migration, the outcomes, and the impact on the Tango Controls collaboration.
	Poster MOPV034 [0.181 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV034
About •	Received ※ 10 October 2021 Accepted ※ 04 November 2021 Issue date ※ 28 November 2021
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MOPV043	CERN Controls Configuration Service - Event-Based Processing of Controls Changes	controls, operation, hardware, software	253
	B. Urbaniec, L. Burdzanowski CERN, Geneva, Switzerland
	The Controls Configuration Service (CCS) is a core component of the data-driven Control System at CERN. Built around a central database, the CCS provides a range of client APIs and graphical user interfaces (GUI) to enable efficient and user-friendly configuration of Controls. As the entry point for all the modifications to Controls system configurations, the CCS provides the means to ensure global data coherency and propagation of changes across the distributed Controls sub-systems and services. With the aim of achieving global data coherency in the most efficient manner, the need for an advanced data integrator emerged. The Controls Configuration Data Lifecycle manager (CCDL) is the core integration bridge between the distributed Controls sub-systems. It aims to ensure consistent, reliable, and efficient exchange of information and triggering of workflow actions based on events representing Controls configuration changes. The CCDL implements and incorporates cutting-edge technologies used successfully in the IT industry. This paper describes the CCDL architecture, design and technology choices made, as well as the tangible benefits that have been realised since its introduction.
	Poster MOPV043 [2.770 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV043
About •	Received ※ 09 October 2021 Revised ※ 20 October 2021 Accepted ※ 21 December 2021 Issue date ※ 23 February 2022
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MOPV047	Upgrading Oracle APEX Applications at the National Ignition Facility	optics, laser, software, GUI	267
	A. Bhasker, R.D. Clark, R.N. Fallejo LLNL, Livermore, California, USA
	As with all experimental physics facilities, NIF has software applications that must persist on a multi-decade timescale. They must be kept up to date for viability, sustainability and security. We present the steps and challenges involved in a major application upgrade project from Oracle APEX v5 to Oracle APEX v19.2. This upgrade involved jumping over 2 major versions and a total of 5 releases of Oracle APEX. Some applications that depended on now legacy Oracle APEX constructs required redesigning, while others that broke due to custom JavaScript needed to be updated for compatibility. This upgrade project, undertaken by the NIF Shot Data Systems team at LLNL, involved reverse-engineering functional requirements for applications that were then redesigned using the latest APEX out-of-the-box functionality, as well as identifying changes made in the new Oracle APEX built-in ’plumbing’ to update custom-built features for compatibility with the new Oracle APEX version. As NIF enters into its second decade of operations, this upgrade allows these aging applications to function in a more sustainable way, while enhancing user experience with a modernized GUI for Oracle APEX web-pages.
	Poster MOPV047 [1.392 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV047
About •	Received ※ 08 October 2021 Accepted ※ 10 February 2022 Issue date ※ 17 March 2022
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TUBL01	Distributed Caching at Cloud Scale with Apache Ignite for the C2MON Framework	distributed, operation, controls, software	307
	T. Marques Oliveira, M. Bräger, B. Copy, S.E. Halastra, D. Martin Anido, A. Papageorgiou Koufidis CERN, Geneva, Switzerland
	The CERN Control and Monitoring platform (C2MON) is an open-source platform for industrial controls data acquisition, monitoring, control and data publishing. Its high availability, fault tolerance and redundancy make it a perfect fit to handle the complex and critical systems present at CERN. C2MON must cope with the ever-increasing flows of data produced by the CERN technical infrastructure, such as cooling and ventilation or electrical distribution alarms, while maintaining integrity and availability. Distributed caching is a common technique to dramatically increase the availability and fault tolerance of redundant systems. For C2MON we have replaced the existing legacy Terracotta caching framework with Apache Ignite. Ignite is an enterprise grade, distributed caching platform, with advanced cloud-native capabilities. It enables C2MON to handle high volumes of data with full transaction support and makes C2MON ready to run in the cloud. This article first explains the challenges we met when integrating Apache Ignite into the C2MON framework, and then demonstrates how Ignite enhances the capabilities of a monitor and control system in an industrial controls environment.
	Slides TUBL01 [0.817 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUBL01
About •	Received ※ 07 October 2021 Revised ※ 20 October 2021 Accepted ※ 01 March 2022 Issue date ※ 05 March 2022
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TUPV047	Controlling the CERN Experimental Area Beams	software, experiment, controls, optics	509
	B. Rae, V. Baggiolini, D. Banerjee, J. Bernhard, M. Brugger, N. Charitonidis, M. Gabriel, A. Gerbershagen, R. Gorbonosov, M. Hrabia, M. Peryt, C. Roderick, G. Romagnoli CERN, Geneva, Switzerland L. Gatignon Lancaster University, Lancaster, United Kingdom
	The CERN fixed target experimental areas are comprised of more than 8km of beam line with around 800 devices used to control and measure the beam. Each year more than 140 groups of users come to perform experiments in these areas, with a need to access the data from these devices. The software to allow this therefore has to be simple, robust, and be able to control and read out all types of beam devices. This contribution describes the functionality of the beamline control system, CESAR, and its evolution. This includes all the features that can be used by the beamline physicists, operators, and device experts that work in the experimental areas. It also underlines the flexibility that the software provides to the experimental users for control of their beam line during data taking, allowing them to manage this in a very easy and independent way. This contribution also covers the on-going work of providing MAD-X support to CESAR to achieve an easier way of developing and integrating beam optics. An overview of the on-going software migration of the Experimental Areas is also given.
	Poster TUPV047 [1.262 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV047
About •	Received ※ 11 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 December 2021 Issue date ※ 18 January 2022
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WEAL02	A Framework for High Level Machine Automation Based on Behavior Tree	TANGO, controls, GUI, operation	534
	G. Gaio, P. Cinquegrana, S. Krecic, G. Scalamera, G. Strangolino, F. Tripaldi, M. Trovò, L. Zambon Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	In order to carry out complex tasks on particle accelerators, physicists and operators need to know the correct sequence of actions usually performed through a large number of graphical panels. The automation logics often embedded in the GUIs prevents its reuse by other programs, thus limiting the level of automation a control system can achieve. In order to overcome this limitation we have introduced a new automation framework for shifting the logics from GUIs to server side, where simple tasks can be easily organized, inspected and stacked up to build more complex actions. This tool is based on Behavior Trees (BT) which has been recently adopted in the gaming industry for in-game AI player opponents. They are able to create very complex tasks composed by simple decoupled self-contained tasks (nodes), regardless how they are implemented. The automation framework has been deployed in the Elettra and FERMI TANGO-based control systems to implement autonomous operations. A dedicated Qt GUI and a web interface allow to inspect the BTs and dynamically go through a tree, visualize the dependencies, monitor the execution and display any running action.
	Slides WEAL02 [1.809 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEAL02
About •	Received ※ 08 October 2021 Revised ※ 18 October 2021 Accepted ※ 21 November 2021 Issue date ※ 08 March 2022
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WEAR02	Adaptations to COVID-19: How Working Remotely Has Made Teams Work Efficiently Together	software, controls, operation, status	550
	R. Lacuata, B. Blackwell, G.K. Brunton, M. Fedorov, M.S. Flegel, D.J. Koning, P. Koning, S.L. Townsend, J. Wang LLNL, Livermore, California, USA
	Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. The National Ignition Facility (NIF) is the world’s largest 192 laser beam system for Inertial Confinement Fusion (ICF) and High Energy Density Physics (HEDP) experiments. The NIF’s Integrated Computer Control System (ICCS) team conducts quarterly software releases, with two to three patches in between. Each of these software upgrades consists of deployment, regression testing, and a test shot. All of these are done with the team members inside the NIF control room. In addition, the NIF ICCS database team also performs the Database Installation and Verification Procedure dry run before each software upgrade. This is to anticipate any issue that may arise on the day of the release, prepare a solution for it, and make sure that the database part of the upgrade will be completed within the allotted time slot. This talk is about how the NIF ICCS software teams adapted when the LLNL workforce began working remotely due to the COVID-19 pandemic. These adaptations led to a better and more efficient way of conducting the NIF ICCS software upgrades. LLNL-ABS-821815
	Slides WEAR02 [1.586 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEAR02
About •	Received ※ 12 October 2021 Accepted ※ 09 February 2022 Issue date ※ 15 March 2022
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WEBL02	Prototype of Image Acquisition and Storage System for SHINE	interface, network, FEL, laser	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
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WEBL05	FAIR Meets EMIL: Principles in Practice	experiment, software, GUI, electron	574
	G. Günther, M. Bär, N. Greve, R. Krahl, M. Kubin, O. Mannix, W. Smith, S. Vadilonga, R. Wilks HZB, Berlin, Germany
	Findability, accessibility, interoperability, and reusability (FAIR) form a set of principles required to ready information for computational exploitation. The Energy Materials In-Situ Laboratory Berlin (EMIL) at BESSY II, with its unique analytical instrumentation in direct combination with an industrially-relevant deposition tool, is in the final phase of commissioning. It provides an ideal testbed to ensure workflows are developed around the FAIR principles; enhancing usability for both human and machine agents. FAIR indicators are applied to assess compliance with the principles on an experimental workflow realized using Bluesky. Additional metadata collection by integrating an instrument PID, an electronic laboratory book, and a sample tracking system is considered along with staff training. Data are collected in Nexus format and made available in the ICAT repository. This paper reports on experiences, problems overcome, and areas still in need of improvement in future perspectives.
	Slides WEBL05 [0.953 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL05
About •	Received ※ 08 October 2021 Accepted ※ 22 December 2021 Issue date ※ 24 February 2022
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WEPV027	Expandable and Modular Monitoring and Actuation System for Engineering Cabinets at Sirius Light Source	interface, controls, monitoring, hardware	710
	P.H. Nallin, J.G.R.S. Franco, R.W. Polli LNLS, Campinas, Brazil G.F. Freitas CNPEM, Campinas, SP, Brazil
	Having multipurpose hardware architectures for controls and monitoring systems has become a need nowadays. When it comes to modular and easy expandable devices, it brings together a system which is easy to maintain and can reach many applications. Concerning Sirius accelerators, which is a 4th generation light source, monitoring environment variables becomes crucial when it comes to accelerator stability and reliability. Several cabinets take part of engineering infrastructure and monitoring and acting over their environment such as internal temperature, pressure and fan status, increases overall system reliability. This paper presents a non-expensive hardware topology to deal with multiple sensors and actuators mainly designed to monitor cabinets and prevent beam quality loss due to equipment faults.
	Poster WEPV027 [0.830 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV027
About •	Received ※ 01 October 2021 Revised ※ 09 November 2021 Accepted ※ 21 November 2021 Issue date ※ 28 November 2021
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WEPV049	Controls Data Archiving at the ISIS Neutron and Muon Source for In-Depth Analysis and ML Applications	EPICS, controls, software, neutron	780
	I.D. Finch, G.D. Howells, A.A. Saoulis STFC/RAL/ISIS, Chilton, Didcot, Oxon, United Kingdom
	Funding: UKRI / STFC The ISIS Neutron and Muon Source accelerators are currently operated using Vsystem control software. Archiving of controls data is necessary for immediate fault finding, to facilitate analysis of long-term trends, and to provide training datasets for machine learning applications. While Vsystem has built-in logging and data archiving tools, in recent years we have greatly expanded the range and quantity of data archived using an open-source software stack including MQTT as a messaging system, Telegraf as a metrics collection agent, and the Influx time-series database as a storage backend. Now that ISIS has begun the transition from Vsystem to EPICS this software stack will need to be replaced or adapted. To explore the practicality of adaptation, a new Telegraf plugin allowing direct collection of EPICS data has been developed. We describe the current Vsystem-based controls data archiving solution in use at ISIS, future plans for EPICS, and our plans for the transition while maintaining continuity of data.
	Poster WEPV049 [0.845 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV049
About •	Received ※ 09 October 2021 Revised ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 19 January 2022
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THPV010	Scaling Up the ALBA Cabling Database and Plans to Turn into an Asset Management System	controls, electron, electronics, operation	878
	I. Costa, A. Camps Gimenez, R. Cazorla, T. Fernández Maltas, D. Salvat ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
	The "Cabling and Controls Database" (CCDB) is a central repository where the different teams of ALBA manage the information of installed racks, equipment, cables and connectors, and their connections and technical specifications. ALBA has modernized this web application for sustainability reasons and fit new needs detected throughout the last years of operation in our facility. The application has been linked to Jira to allow tracking problems in specific installed equipment or locations. In addition, it also connects to the ALBA Inventory Pools application, the warehouse management system, where the stock of physical equipment and components are maintained to get information on the life cycle of the different devices. These new features, integrated with proprietary products like Jira and Insight, aim to become ALBA’s asset management system. This paper aims to describe the main features of the recent application upgrade, currently in continuous development.
	Poster THPV010 [1.145 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV010
About •	Received ※ 10 October 2021 Accepted ※ 21 November 2021 Issue date ※ 05 January 2022
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THPV036	Laser Driver State Estimation Oriented Data Governance	experiment, laser, data-analysis, data-management	942
	J. Luo, L. Li, Z. Ni, X. Zhou CAEP, Sichuan, People’s Republic of China
	Laser driver state estimation is an important task dur-ing the operation process for the high-power laser facility, by utilizing measured data to analyze experiment results and laser driver performances. It involves complicated data processing jobs, including data extraction, data cleaning, data fusion, data visualization and so on. Data governance aims to improve the efficiency and quality of data analysis for laser driver state estimation, which fo-cuses on 4 aspects ’ data specification, data cleaning, data exchange, and data integration. The achievements of data governance contribute to not only laser driver state estimation, but also other experimental data analy-sis applications.
	Poster THPV036 [0.477 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV036
About •	Received ※ 10 October 2021 Revised ※ 24 October 2021 Accepted ※ 21 November 2021 Issue date ※ 22 February 2022
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THPV042	Evolution of the CERN Beam Instrumentation Offline Analysis Framework (OAF)	framework, instrumentation, status, controls	965
	A. Samantas, M. Gonzalez-Berges, J-J. Gras, S. Zanzottera CERN, Geneva 23, Switzerland
	The CERN accelerators require a large number of instruments, measuring different beam parameters like position, losses, current etc. The instruments’ associated electronics and software also produce information about their status. All these data are stored in a database for later analysis. The Beam Instrumentation group developed the Offline Analysis Framework some years ago to regularly and systematically analyze these data. The framework has been successfully used for nearly 100 different analyses that ran regularly by the end of the LHC run 2. Currently it is being updated for run 3 with modern and efficient tools to improve its usability and data analysis power. In particular, the architecture has been reviewed to have a modular design to facilitate the maintenance and the future evolution of the tool. A new web based application is being developed to facilitate the users’ access both to online configuration and to results. This paper will describe all these evolutions and outline possible lines of work for further improvements. * "A Framework for Off-Line Verification of Beam Instrumentation Systems at CERN", S. Jackson et al., ICALEPCS 2013 San Francisco
	Poster THPV042 [1.251 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV042
About •	Received ※ 09 October 2021 Revised ※ 14 October 2021 Accepted ※ 21 November 2021 Issue date ※ 13 December 2021
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Paper

Title

Other Keywords

Page

MOBL04

Karabo Data Logging: InfluxDB Backend and Grafana UI

FEL, controls, operation, GUI

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

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

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MOPV010

Working under Pandemic Conditions: Contact Tracing Meets Technology

software, network, site, distributed

121

E. Blanco Viñuela, B. Copy, S. Danzeca, Ch. Delamare, R. Losito, A. Masi, E. Matli, T. Previero, R. Sierra
CERN, Geneva, Switzerland

Covid-19 has dramatically transformed our working practices with a big change to a teleworking model for many people. There are however many essential activities requiring personnel on site. In order to minimise the risks for its personnel CERN decided to take every measure possible, including internal contact tracing by the CERN medical service. This initially involved manual procedures which relied on people’s ability to remember past encounters. To improve this situation and minimise the number of employees who would need to be quarantined, CERN approved the design of a specific device: the Proximeter. The project goal was to design a wearable device, built in a partnership* with industry fulfilling the contact tracing needs of the medical service. The proximeter records other devices in close proximity and reports the encounters to a cloud-based system. The service came into operation early 2021 and 8000 devices were distributed to personnel working on the CERN site. This publication reports on the service offered, emphasising on the overall workflow of the project under exceptional conditions and the implications data privacy imposed on the design of the software application.
* Terabee. https://www.terabee.com

Poster MOPV010 [3.489 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV010

About •

Received ※ 11 October 2021 Revised ※ 26 October 2021 Accepted ※ 03 November 2021 Issue date ※ 18 December 2021

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MOPV021

Upgrading the National Ignition Facility’s (NIF) Integrated Computer Control System to Support Optical Thompson Scattering (OTS) Diagnostic

controls, laser, operation, alignment

173

A.I. Barnes, A.A.S. Awwal, L. Beaulac, B. Blackwell, G.K. Brunton, K. Burns, J.R. Castro Morales, M. Fedorov, R. Lacuata, R.R. Leach, D.G. Mathisen, V.J. Miller Kamm, S. Muralidhar, V. Pacheu, Y. Pan, S. Patankar, B.P. Patel, M. Paul, R. Rozenshteyn, R.J. Sanchez, S. Sauter, M. Taranowski, D. Tucker, K.C. Wilhelmsen, B.A. Wilson, H. Zhang
LLNL, Livermore, California, USA

Funding: This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
With the ability to deliver 2.1 MJ of 500 TW ultraviolet laser light to a target, the National Ignition Facility (NIF) is the world’s most energetic laser. This combination of energy and power allows the study of materials under conditions similar to the center of the sun. On fusion ignition experiments, plasma generated in the interior of the target shell can detrimentally impact the implosion symmetry and the resulting energy output. We are in the final stages of commissioning a significant new diagnostic system that will allow us to better understand the plasma conditions and improve our symmetry control techniques. This Optical Thompson Scattering (OTS) system consists of two major components: a probe laser beamline capable of delivering a world first 1 J of energy at 211 nm, and a diagnostic that both reflects the probe laser into the target and collects the scattered photons. Between these two components, the control system enhancements required integration of over 450 components into the existing automation suite. This talk will provide an overview of the system upgrade approach and the tools used to efficiently manage and test changes to both our data and software.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV021

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Received ※ 09 October 2021 Accepted ※ 10 February 2022 Issue date ※ 21 February 2022

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MOPV024

vscode-epics, a VSCode Module to Enlighten Your EPICS Code

EPICS, feedback, GUI, HOM

179

V. Nadot, A. Gaget, F. Gohier, F. Gougnaud, P. Lotrus, S. Tzvetkov
CEA-IRFU, Gif-sur-Yvette, France

vscode-epics is a Visual Studio Code module developed by CEA Irfu that aims to enlight your EPICS code. This module makes developer life easier, improves code quality and helps standardizing EPICS code. It provides syntax highlighting, snippets and header template for EPICS file and provides snippets for WeTest*. This VSCode module is based on Visual Studio Code language Extension and it uses basic JSON files that make feature addition easy. The number of downloads increases version after version and the different feedback motivates us to strongly maintain it for the EPICS community. Since 2019, some laboratories of the EPICS community have participated in the improvement of the module and it seems to have a nice future (linter, snippet improvements, specific language support, etc.). The module is available on Visual Studio Code marketplace** and on EPICS extension GitHub***. CEA Irfu is open to bug notifications, enhancement suggestions and merge requests to continuously improve vscode-epics.
* https://github.com/epics-extensions/WeTest
** https://marketplace.visualstudio.com/items?itemName=nsd.vscode-epics
*** https://github.com/epics-extensions/vscode-epics

Poster MOPV024 [0.508 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV024

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Received ※ 10 October 2021 Accepted ※ 04 November 2021 Issue date ※ 26 December 2021

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MOPV034

Migration of Tango Controls Source Code Repositories

TANGO, controls, software, Windows

209

M. Liszcz, M. Celary, P.P. Goryl, K. Kedron
S2Innovation, Kraków, Poland
G. Abeillé
SOLEIL, Gif-sur-Yvette, France
B. Bertrand
MAX IV Laboratory, Lund University, Lund, Sweden
R. Bourtembourg, A. Götz
ESRF, Grenoble, France
T. Braun
byte physics e.K., Berlin, Germany
A.F. Joubert
SARAO, Cape Town, South Africa
A. López Sánchez, C. Pascual-Izarra, S. Rubio-Manrique
ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
L. Pivetta
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

Funding: Tango Community
At the turn of 2020/2021, the Tango community faced the challenge of a massive migration of all Tango software repositories from GitHub to GitLab. The motivation has been a change in the pricing model of the Travis CI provider and the shutdown of the JFrog Bintray service used for artifact hosting. GitLab has been chosen as a FOSS-friendly platform for storing both the code and build artifacts and for providing CI/CD services. The migration process faced several challenges, both technical, like redesign and rewrite of CI pipelines, and non-technical, like coordination of actions impacting multiple interdependent repositories. This paper explains the strategies adopted for migration, the outcomes, and the impact on the Tango Controls collaboration.

Poster MOPV034 [0.181 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV034

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Received ※ 10 October 2021 Accepted ※ 04 November 2021 Issue date ※ 28 November 2021

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MOPV043

CERN Controls Configuration Service - Event-Based Processing of Controls Changes

controls, operation, hardware, software

253

B. Urbaniec, L. Burdzanowski
CERN, Geneva, Switzerland

The Controls Configuration Service (CCS) is a core component of the data-driven Control System at CERN. Built around a central database, the CCS provides a range of client APIs and graphical user interfaces (GUI) to enable efficient and user-friendly configuration of Controls. As the entry point for all the modifications to Controls system configurations, the CCS provides the means to ensure global data coherency and propagation of changes across the distributed Controls sub-systems and services. With the aim of achieving global data coherency in the most efficient manner, the need for an advanced data integrator emerged. The Controls Configuration Data Lifecycle manager (CCDL) is the core integration bridge between the distributed Controls sub-systems. It aims to ensure consistent, reliable, and efficient exchange of information and triggering of workflow actions based on events representing Controls configuration changes. The CCDL implements and incorporates cutting-edge technologies used successfully in the IT industry. This paper describes the CCDL architecture, design and technology choices made, as well as the tangible benefits that have been realised since its introduction.

Poster MOPV043 [2.770 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV043

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Received ※ 09 October 2021 Revised ※ 20 October 2021 Accepted ※ 21 December 2021 Issue date ※ 23 February 2022

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MOPV047

Upgrading Oracle APEX Applications at the National Ignition Facility

optics, laser, software, GUI

267

A. Bhasker, R.D. Clark, R.N. Fallejo
LLNL, Livermore, California, USA

As with all experimental physics facilities, NIF has software applications that must persist on a multi-decade timescale. They must be kept up to date for viability, sustainability and security. We present the steps and challenges involved in a major application upgrade project from Oracle APEX v5 to Oracle APEX v19.2. This upgrade involved jumping over 2 major versions and a total of 5 releases of Oracle APEX. Some applications that depended on now legacy Oracle APEX constructs required redesigning, while others that broke due to custom JavaScript needed to be updated for compatibility. This upgrade project, undertaken by the NIF Shot Data Systems team at LLNL, involved reverse-engineering functional requirements for applications that were then redesigned using the latest APEX out-of-the-box functionality, as well as identifying changes made in the new Oracle APEX built-in ’plumbing’ to update custom-built features for compatibility with the new Oracle APEX version. As NIF enters into its second decade of operations, this upgrade allows these aging applications to function in a more sustainable way, while enhancing user experience with a modernized GUI for Oracle APEX web-pages.

Poster MOPV047 [1.392 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-MOPV047

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Received ※ 08 October 2021 Accepted ※ 10 February 2022 Issue date ※ 17 March 2022

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TUBL01

Distributed Caching at Cloud Scale with Apache Ignite for the C2MON Framework

distributed, operation, controls, software

307

T. Marques Oliveira, M. Bräger, B. Copy, S.E. Halastra, D. Martin Anido, A. Papageorgiou Koufidis
CERN, Geneva, Switzerland

The CERN Control and Monitoring platform (C2MON) is an open-source platform for industrial controls data acquisition, monitoring, control and data publishing. Its high availability, fault tolerance and redundancy make it a perfect fit to handle the complex and critical systems present at CERN. C2MON must cope with the ever-increasing flows of data produced by the CERN technical infrastructure, such as cooling and ventilation or electrical distribution alarms, while maintaining integrity and availability. Distributed caching is a common technique to dramatically increase the availability and fault tolerance of redundant systems. For C2MON we have replaced the existing legacy Terracotta caching framework with Apache Ignite. Ignite is an enterprise grade, distributed caching platform, with advanced cloud-native capabilities. It enables C2MON to handle high volumes of data with full transaction support and makes C2MON ready to run in the cloud. This article first explains the challenges we met when integrating Apache Ignite into the C2MON framework, and then demonstrates how Ignite enhances the capabilities of a monitor and control system in an industrial controls environment.

Slides TUBL01 [0.817 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUBL01

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Received ※ 07 October 2021 Revised ※ 20 October 2021 Accepted ※ 01 March 2022 Issue date ※ 05 March 2022

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TUPV047

Controlling the CERN Experimental Area Beams

software, experiment, controls, optics

509

B. Rae, V. Baggiolini, D. Banerjee, J. Bernhard, M. Brugger, N. Charitonidis, M. Gabriel, A. Gerbershagen, R. Gorbonosov, M. Hrabia, M. Peryt, C. Roderick, G. Romagnoli
CERN, Geneva, Switzerland
L. Gatignon
Lancaster University, Lancaster, United Kingdom

The CERN fixed target experimental areas are comprised of more than 8km of beam line with around 800 devices used to control and measure the beam. Each year more than 140 groups of users come to perform experiments in these areas, with a need to access the data from these devices. The software to allow this therefore has to be simple, robust, and be able to control and read out all types of beam devices. This contribution describes the functionality of the beamline control system, CESAR, and its evolution. This includes all the features that can be used by the beamline physicists, operators, and device experts that work in the experimental areas. It also underlines the flexibility that the software provides to the experimental users for control of their beam line during data taking, allowing them to manage this in a very easy and independent way. This contribution also covers the on-going work of providing MAD-X support to CESAR to achieve an easier way of developing and integrating beam optics. An overview of the on-going software migration of the Experimental Areas is also given.

Poster TUPV047 [1.262 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-TUPV047

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Received ※ 11 October 2021 Revised ※ 21 October 2021 Accepted ※ 21 December 2021 Issue date ※ 18 January 2022

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WEAL02

A Framework for High Level Machine Automation Based on Behavior Tree

TANGO, controls, GUI, operation

534

G. Gaio, P. Cinquegrana, S. Krecic, G. Scalamera, G. Strangolino, F. Tripaldi, M. Trovò, L. Zambon
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

In order to carry out complex tasks on particle accelerators, physicists and operators need to know the correct sequence of actions usually performed through a large number of graphical panels. The automation logics often embedded in the GUIs prevents its reuse by other programs, thus limiting the level of automation a control system can achieve. In order to overcome this limitation we have introduced a new automation framework for shifting the logics from GUIs to server side, where simple tasks can be easily organized, inspected and stacked up to build more complex actions. This tool is based on Behavior Trees (BT) which has been recently adopted in the gaming industry for in-game AI player opponents. They are able to create very complex tasks composed by simple decoupled self-contained tasks (nodes), regardless how they are implemented. The automation framework has been deployed in the Elettra and FERMI TANGO-based control systems to implement autonomous operations. A dedicated Qt GUI and a web interface allow to inspect the BTs and dynamically go through a tree, visualize the dependencies, monitor the execution and display any running action.

Slides WEAL02 [1.809 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEAL02

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Received ※ 08 October 2021 Revised ※ 18 October 2021 Accepted ※ 21 November 2021 Issue date ※ 08 March 2022

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WEAR02

Adaptations to COVID-19: How Working Remotely Has Made Teams Work Efficiently Together

software, controls, operation, status

550

R. Lacuata, B. Blackwell, G.K. Brunton, M. Fedorov, M.S. Flegel, D.J. Koning, P. Koning, S.L. Townsend, J. Wang
LLNL, Livermore, California, USA

Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
The National Ignition Facility (NIF) is the world’s largest 192 laser beam system for Inertial Confinement Fusion (ICF) and High Energy Density Physics (HEDP) experiments. The NIF’s Integrated Computer Control System (ICCS) team conducts quarterly software releases, with two to three patches in between. Each of these software upgrades consists of deployment, regression testing, and a test shot. All of these are done with the team members inside the NIF control room. In addition, the NIF ICCS database team also performs the Database Installation and Verification Procedure dry run before each software upgrade. This is to anticipate any issue that may arise on the day of the release, prepare a solution for it, and make sure that the database part of the upgrade will be completed within the allotted time slot. This talk is about how the NIF ICCS software teams adapted when the LLNL workforce began working remotely due to the COVID-19 pandemic. These adaptations led to a better and more efficient way of conducting the NIF ICCS software upgrades.
LLNL-ABS-821815

Slides WEAR02 [1.586 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEAR02

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Received ※ 12 October 2021 Accepted ※ 09 February 2022 Issue date ※ 15 March 2022

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WEBL02

Prototype of Image Acquisition and Storage System for SHINE

interface, network, FEL, laser

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

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

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WEBL05

FAIR Meets EMIL: Principles in Practice

experiment, software, GUI, electron

574

G. Günther, M. Bär, N. Greve, R. Krahl, M. Kubin, O. Mannix, W. Smith, S. Vadilonga, R. Wilks
HZB, Berlin, Germany

Findability, accessibility, interoperability, and reusability (FAIR) form a set of principles required to ready information for computational exploitation. The Energy Materials In-Situ Laboratory Berlin (EMIL) at BESSY II, with its unique analytical instrumentation in direct combination with an industrially-relevant deposition tool, is in the final phase of commissioning. It provides an ideal testbed to ensure workflows are developed around the FAIR principles; enhancing usability for both human and machine agents. FAIR indicators are applied to assess compliance with the principles on an experimental workflow realized using Bluesky. Additional metadata collection by integrating an instrument PID, an electronic laboratory book, and a sample tracking system is considered along with staff training. Data are collected in Nexus format and made available in the ICAT repository. This paper reports on experiences, problems overcome, and areas still in need of improvement in future perspectives.

Slides WEBL05 [0.953 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEBL05

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Received ※ 08 October 2021 Accepted ※ 22 December 2021 Issue date ※ 24 February 2022

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WEPV027

Expandable and Modular Monitoring and Actuation System for Engineering Cabinets at Sirius Light Source

interface, controls, monitoring, hardware

710

P.H. Nallin, J.G.R.S. Franco, R.W. Polli
LNLS, Campinas, Brazil
G.F. Freitas
CNPEM, Campinas, SP, Brazil

Having multipurpose hardware architectures for controls and monitoring systems has become a need nowadays. When it comes to modular and easy expandable devices, it brings together a system which is easy to maintain and can reach many applications. Concerning Sirius accelerators, which is a 4th generation light source, monitoring environment variables becomes crucial when it comes to accelerator stability and reliability. Several cabinets take part of engineering infrastructure and monitoring and acting over their environment such as internal temperature, pressure and fan status, increases overall system reliability. This paper presents a non-expensive hardware topology to deal with multiple sensors and actuators mainly designed to monitor cabinets and prevent beam quality loss due to equipment faults.

Poster WEPV027 [0.830 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV027

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Received ※ 01 October 2021 Revised ※ 09 November 2021 Accepted ※ 21 November 2021 Issue date ※ 28 November 2021

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WEPV049

Controls Data Archiving at the ISIS Neutron and Muon Source for In-Depth Analysis and ML Applications

EPICS, controls, software, neutron

780

I.D. Finch, G.D. Howells, A.A. Saoulis
STFC/RAL/ISIS, Chilton, Didcot, Oxon, United Kingdom

Funding: UKRI / STFC
The ISIS Neutron and Muon Source accelerators are currently operated using Vsystem control software. Archiving of controls data is necessary for immediate fault finding, to facilitate analysis of long-term trends, and to provide training datasets for machine learning applications. While Vsystem has built-in logging and data archiving tools, in recent years we have greatly expanded the range and quantity of data archived using an open-source software stack including MQTT as a messaging system, Telegraf as a metrics collection agent, and the Influx time-series database as a storage backend. Now that ISIS has begun the transition from Vsystem to EPICS this software stack will need to be replaced or adapted. To explore the practicality of adaptation, a new Telegraf plugin allowing direct collection of EPICS data has been developed. We describe the current Vsystem-based controls data archiving solution in use at ISIS, future plans for EPICS, and our plans for the transition while maintaining continuity of data.

Poster WEPV049 [0.845 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-WEPV049

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Received ※ 09 October 2021 Revised ※ 19 October 2021 Accepted ※ 22 December 2021 Issue date ※ 19 January 2022

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THPV010

Scaling Up the ALBA Cabling Database and Plans to Turn into an Asset Management System

controls, electron, electronics, operation

878

I. Costa, A. Camps Gimenez, R. Cazorla, T. Fernández Maltas, D. Salvat
ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain

The "Cabling and Controls Database" (CCDB) is a central repository where the different teams of ALBA manage the information of installed racks, equipment, cables and connectors, and their connections and technical specifications. ALBA has modernized this web application for sustainability reasons and fit new needs detected throughout the last years of operation in our facility. The application has been linked to Jira to allow tracking problems in specific installed equipment or locations. In addition, it also connects to the ALBA Inventory Pools application, the warehouse management system, where the stock of physical equipment and components are maintained to get information on the life cycle of the different devices. These new features, integrated with proprietary products like Jira and Insight, aim to become ALBA’s asset management system. This paper aims to describe the main features of the recent application upgrade, currently in continuous development.

Poster THPV010 [1.145 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV010

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Received ※ 10 October 2021 Accepted ※ 21 November 2021 Issue date ※ 05 January 2022

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THPV036

Laser Driver State Estimation Oriented Data Governance

experiment, laser, data-analysis, data-management

942

J. Luo, L. Li, Z. Ni, X. Zhou
CAEP, Sichuan, People’s Republic of China

Laser driver state estimation is an important task dur-ing the operation process for the high-power laser facility, by utilizing measured data to analyze experiment results and laser driver performances. It involves complicated data processing jobs, including data extraction, data cleaning, data fusion, data visualization and so on. Data governance aims to improve the efficiency and quality of data analysis for laser driver state estimation, which fo-cuses on 4 aspects ’ data specification, data cleaning, data exchange, and data integration. The achievements of data governance contribute to not only laser driver state estimation, but also other experimental data analy-sis applications.

Poster THPV036 [0.477 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV036

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Received ※ 10 October 2021 Revised ※ 24 October 2021 Accepted ※ 21 November 2021 Issue date ※ 22 February 2022

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THPV042

Evolution of the CERN Beam Instrumentation Offline Analysis Framework (OAF)

framework, instrumentation, status, controls

965

A. Samantas, M. Gonzalez-Berges, J-J. Gras, S. Zanzottera
CERN, Geneva 23, Switzerland

The CERN accelerators require a large number of instruments, measuring different beam parameters like position, losses, current etc. The instruments’ associated electronics and software also produce information about their status. All these data are stored in a database for later analysis. The Beam Instrumentation group developed the Offline Analysis Framework some years ago to regularly and systematically analyze these data. The framework has been successfully used for nearly 100 different analyses that ran regularly by the end of the LHC run 2. Currently it is being updated for run 3 with modern and efficient tools to improve its usability and data analysis power. In particular, the architecture has been reviewed to have a modular design to facilitate the maintenance and the future evolution of the tool. A new web based application is being developed to facilitate the users’ access both to online configuration and to results. This paper will describe all these evolutions and outline possible lines of work for further improvements.
* "A Framework for Off-Line Verification of Beam Instrumentation Systems at CERN", S. Jackson et al., ICALEPCS 2013 San Francisco

Poster THPV042 [1.251 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2021-THPV042

About •

Received ※ 09 October 2021 Revised ※ 14 October 2021 Accepted ※ 21 November 2021 Issue date ※ 13 December 2021

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