ICALEPCS2019 - List of Keywords (simulation)

Paper	Title	Other Keywords	Page
MOCPR03	Planning of Interventions With the Atlas Expert System	detector, database, experiment, controls	106
	I. Asensi Tortajada, A. Rummler, C.A. Solans Sanchez CERN, Geneva, Switzerland J.G. Torres Pais Valencia University, Burjassot, Spain
	The ATLAS Technical Coordination Expert System is a tool for the simulation of the ATLAS experiment infrastructure that combines information from diverse areas such as detector control (DCS) and safety systems (DSS), gas, water, cooling, ventilation, cryogenics, and electricity distribution. It allows the planning of an intervention during technical stops and maintenance periods, and it is being used during the LS2 to provide an additional source of information for the planning of interventions. This contribution will describe the status of the Expert System and how it us used to provide information on the impact of an intervention based on the risk assessment models of fault tree analysis and principal component analysis.
	Slides MOCPR03 [9.062 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOCPR03
About •	paper received ※ 27 September 2019 paper accepted ※ 11 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOPHA015	Reverse Engineering the Amplifier Slab Tool at the National Ignition Facility	database, target, optics, operation	228
	A. Bhasker, R.D. Clark, J.E. Dorham 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 This paper discusses the challenges and steps required to convert a stand-alone legacy Microsoft Access-based application, in the absence of original requirements, to a web-based application with an Oracle backend and Oracle Application Express/JavaScript/JQuery frontend. The Amplifier Slab Selection (ASL) Tool provides a means to manage and track Amplifier Slabs on National Ignition Facility (NIF) beamlines. ASL generates simulations and parameter visualization charts of seated Amplifier Slabs as well as available replacement candidates to help optics designers make beamline configuration decisions. The migration process, undertaken by the NIF Shot Data Systems (SDS) team at Lawrence Livermore National Laboratory (LLNL), included reverse-engineering functional requirements due to evolving processes and changing NIF usage patterns.
	Poster MOPHA015 [0.525 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA015
About •	paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOPHA017	pyAT, Pytac and pythonSoftIoc: a Pure Python Virtual Accelerator	controls, feedback, lattice, emittance	232
	W.A.H. Rogers, T.J.R. Nicholls, A.A. Wilson DLS, Oxfordshire, United Kingdom
	Virtual accelerators are used for testing control system software against realistic accelerator simulations. Previous virtual accelerators for synchrotron light sources have used Tracy* and Elegant* ** as the simulator, but without Python bindings for accelerator simulations it has been difficult to create a virtual accelerator using Python. With the development of Python Accelerator Toolbox (pyAT)**, that is now possible. This paper describes the combination of pyAT, Python Toolkit for Accelerator Controls (Pytac) and pythonSoftIoc to create an EPICS-based virtual accelerator for Diamond Light Source. TRACY-2 Documentation The DLS Control System elegant: A Code for Accelerator Simulation *A Virtual Accelerator in the Tango Control System ***pyAT: Python Accelerator Toolbox
	Poster MOPHA017 [1.006 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA017
About •	paper received ※ 30 September 2019 paper accepted ※ 08 October 2019 issue date ※ 30 August 2020
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MOPHA045	A New Simulation Stucture to Improve Software Dependability in Collider-Accelerator Control Systems	controls, framework, factory, network	301
	Y. Gao, T.G. Robertazzi Stony Brook University, Stony Brook, New York, USA K.A. Brown, J. Morris, R.H. Olsen BNL, Upton, New York, USA
	In this work, we propose a new simulation framework aiming to improve the robustness of the control system. It focuses on enhancing the reliability of controls ADO codes by running user-customized testing. The new simulation architecture has two independent parts; together they cover a large amount of ADOs frequently used by developers. The first part of the simulation framework focuses on testing ADOs with GPIB connections to devices. It consists of several function blocks and has a switch mechanism which enables users to conveniently turn on and off the simulation mode without changing the ADO codes. Moreover, it contains a special module which automates testing on ADO codes. Testing results are summarized and presented to users for codes analysis. The second part of the framework adopts a totally different structure. It simulates a different type of interface. Specifically, it focuses on testing ADOs with Ethernet connections to devices. It is based on a powerful networking engine called Twisted, which is an event-driven network programming framework developed by the Twisted Matrix Labs. The simulation framework can handle multiple types of devices at the same time.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA045
About •	paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
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MOPHA046	A New Simulation Timing System for Software Testing in Collider-Accelerator Control Systems	timing, controls, booster, software	307
	Y. Gao, T.G. Robertazzi Stony Brook University, Stony Brook, New York, USA K.A. Brown, M. Harvey, J. Morris, R.H. Olsen BNL, Upton, New York, USA
	Particle accelerators need a timing mechanism to properly accelerate the beam from its source to its destination. The synchronization among accelerator devices is important, which is accomplished by a distribution of timing signals. Devices which require their times synchronized to the acceleration cycle are connected to timelines. Timing signals are sent out along the timelines in the form of digital codes. Correspondingly, devices in the complex are equipped with timeline decoders, which allow devices to extract timing signals appropriately. In this work, a new simulation architecture is introduced which can generate user-specific timing events for software testing in the control systems.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA046
About •	paper received ※ 27 September 2019 paper accepted ※ 08 October 2019 issue date ※ 30 August 2020
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MOPHA088	Consolidation of Re-Triggering System of LHC Beam Dumping System at CERN	operation, dumping, coupling, extraction	412
	N. Magnin, W. Bartmann, C. Bracco, E. Carlier, G. Gräwer, T.D. Mottram, E. Renner, Rodziewicz, J.P. Rodziewicz, V. Senaj, C. Wiesner CERN, Geneva, Switzerland
	The Trigger Synchronization and Distribution System (TSDS) is a core part of the LHC Beam Dump System (LBDS). It comprises redundant Re-Trigger Lines (RTLs) that allow fast re-triggering of all high-voltage pulsed generators in case one self-triggers, resulting in a so-called asynchronous dump. For reliability reasons, the TSDS relies on many RTL redundant trigger sources that do not participate directly to the execution of a normal dump. After every dump, signals propagating on the RTLs are analyzed by Post Operation Check (POC) systems, to validate the correct performance and synchronization of all redundant triggers. The LBDS operated reliably since the start-up of LHC in 2008, but during the Run 2 of the LHC, new failure modes were identified that could incur damage for the beam dump block. In order to correct these failure modes, an upgrade of the TSDS is realized during the LS2. This paper reviews the experience gained with the LBDS during Run 2 of the LHC operation and describes the new architecture of the TSDS being implemented. Measurements and simulations of signals propagating on the RTL are presented, and the analysis performed by the POC systems are explained.
	Poster MOPHA088 [2.435 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA088
About •	paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
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MOPHA131	Waste Heat Recovery for the LHC Coooling Towers: Control System Validation Using Digital Twins	controls, MMI, operation, PLC	520
	B. Schofield, E. Blanco Viñuela, W. Booth CERN, Geneva, Switzerland M.O. Peljo Aalto University, School of Science and Technology, Aalto, Finland
	In order to improve its energy utilization, CERN will deploy a Waste Heat Recovery system at one of the LHC’s surface sites which will provide heating power to a local municipality. To study the effects that the heat recovery plant will have on the cooling system, a ’digital twin’ of the cooling plant was created in the simulation tool EcosimPro. The primary question of interest was whether the existing control system of the cooling plant would be capable of handling transients arising from a sudden shutdown of the heat recovery plan. The simulation was connected via OPC UA to a PLC implementing the cooling plant control system. This ’virtual commissioning’ setup was used to study a number of scenarios representing different cooling loads, ambient temperature conditions, and heat recovery plant operating points. Upon completion of the investigation it was found that the current cooling plant control system will be sufficient to deal with the transients arising from a sudden stop of heat recovery plant operation. In addition, it was shown that an improvement in the controls could also enhance the energy savings of the cooling towers.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA131
About •	paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
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MOPHA160	Enabling Data Analytics as a Service for Large Scale Facilities	data-analysis, distributed, software, experiment	614
	K. Woods, R.J. Clegg, N.S. Cook, R. Millward Tessella, Abingdon, United Kingdom F. Barnsely, C. Jones STFC/RAL, Chilton, Didcot, Oxon, United Kingdom
	Funding: UK Research and Innovation - Science & Technology Facilities Council (UK SBS IT18160) The Ada Lovelace Centre (ALC) at STFC is an integrated, cross-disciplinary data intensive science centre, for better exploitation of research carried out at large scale UK Facilities including the Diamond Light Source, the ISIS Neutron and Muon Facility, the Central Laser Facility and the Culham Centre for Fusion Energy. ALC will provide on-demand, data analysis, interpretation and analytics services to worldwide users of these research facilities. Using open-source components, ALC and Tessella have together created a software infrastructure to support the delivery of that vision. The infrastructure comprises a Virtual Machine Manager, for managing pools of VMs across distributed compute clusters; components for automated provisioning of data analytics environments across heterogeneous clouds; a Data Movement System, to efficiently transfer large datasets; a Kubernetes cluster to manage on demand submission of Spark jobs. In this paper, we discuss the challenges of creating an infrastructure to meet the differing analytics needs of multiple facilities and report the architecture and design of the infrastructure that enables Data Analytics as a Service.
	Poster MOPHA160 [1.665 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA160
About •	paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
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TUBPL02	Enabling Open Science for Photon and Neutron Sources	photon, neutron, software, experiment	694
	A. Götz, J. Bodera Sempere, A. Campbell, A. De Maria Antolinos, R.D. Dimper, J. Kieffer, V.A. Solé, T. Vincet ESRF, Grenoble, France M. Bertelsen, T. Holm Rod, T.S. Richter, J.W. Taylor ESS, Copenhagen, Denmark N. Carboni CERIC-ERIC, Trieste, Italy S. Caunt, J. Hall, J.F. Perrin ILL, Grenoble, France J.C. E, H. Fangohr, C. Fortmann-Grote, T.A. Kluyver, R. Rosca EuXFEL, Schenefeld, Germany F.M. Gliksohn ELI-DC, Brussels, Belgium R. Pugliese Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy L. Schrettner ELI-ALPS, Szeged, Hungary
	Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 823852 Photon and Neutron sources are producing more and more petabytes of scientific data each year. At the same time scientific publishing is evolving to make scientific data part of publications. The Photon and Neutron Open Science Cloud (PaNOSC) project is a EU financed project to provide scientific data management for enabling Open Science. Data will be managed according to the FAIR principles. This means data will be curated and made available under an Open Data policy, findable, interoperable and reusable. This paper will describe how the European photon and neutron sources on the ESFRI* roadmap envision PaNOSC as part of the European Open Science Cloud**. The paper will address the issues of data policy, metadata, data curation, long term archiving and data sharing in the context of the latest developments in these areas. https://panosc.eu https://www.esfri.eu/ https://ec.europa.eu/research/openscience/index.cfm?pg=open-science-cloud
	Slides TUBPL02 [14.942 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUBPL02
About •	paper received ※ 30 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020
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TUCPL07	Optimal Control for Rapid Switching of Beam Energies for the ATR Line at BNL	network, controls, optics, quadrupole	789
	J.P. Edelen, N.M. Cook RadiaSoft LLC, Boulder, Colorado, USA K.A. Brown, P.S. Dyer BNL, Upton, New York, USA
	Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under Award Number DE-SC0019682. The Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory will undergo a beam energy scan over the next several years. To execute this scan, the transfer line between the Alternating Gradient Synchrotron (AGS) and RHIC or the so-called the ATR line, must be re-tuned for each energy. Control of the ATR line has four primary constraints: match the beam trajectory into RHIC, match the transverse focusing, match the dispersion, and minimize losses. Some of these can be handled independently, for example orbit matching. However, offsets in the beam can affect the transverse beam optics, thereby coupling the dynamics. Furthermore, the introduction of vertical optics increases the possibilities for coupling between transverse planes, and the desire to make the line spin transparent further complicates matters. During this talk, we will explore three promising avenues for controlling the ATR line, model predictive control (MPC), on-line optimization methods, and hybrid MPC and optimization methods. We will provide an overview of each method, discuss the tradeoffs between these methods, and summarize our conclusions.
	Slides TUCPL07 [4.459 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPL07
About •	paper received ※ 08 October 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
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WEPHA018	Testing Solutions for Siemens PLCs Programs Based on PLCSIM Advanced	PLC, hardware, ISOL, controls	1107
	E. Blanco Viñuela, D. Darvas CERN, Geneva, Switzerland Gy. Sallai BUTE, Budapest, Hungary
	Testing Programmable Logic Controllers (PLCs) is challenging, partially due to the lack of tools for testing. Isolating a part of the PLC program, feeding it with test inputs and checking the test outputs often require manual work and physical hardware. The Siemens PLCSIM Advanced tool can simulate PLCs and provide a rich application programming interface (API). This paper presents a new CERN made tool based on PLCSIM Advanced and the TIA Portal Openness API. The tool takes a test case described in an intuitive, tabular format, which is then executed with the full PLC program or a selected part of it, effectively allowing unit testing. The inputs can be fed and the outputs can be captured via the PLCSIM API. This way the tests can be executed and evaluated automatically, without manual work or physical hardware. Therefore, it is possible to provide an automated and scalable continuous testing solution for PLC programs to reveal errors as early as possible.
	Poster WEPHA018 [1.026 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA018
About •	paper received ※ 27 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020
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WEPHA023	Co-Simulation of HDL Using Python and MATLAB Over Tcl TCP/IP Socket in Xilinx Vivado and Modelsim Tools	controls, interface, MMI, FPGA	1127
	Ł. Butkowski, B. Dursun, C. Gümüş, M.K. Karakurt DESY, Hamburg, Germany
	This paper presents the solution, which helps in the simulation and verification of the implementation of the Digital Signal Processing (DSP) algorithms written in hardware description language (HDL). Many vendor tools such as Xilinx ISE/Vivado or Mentor Graphics ModelSim are using Tcl as an application programming interface. The main idea of the co-simulation is to use the Tcl TCP/IP socket, which is Tcl build in feature, as the interface to the simulation tool. Over this interface the simulation is driven by the external tool. The stimulus vectors as well as the model and verification are implemented in Python or MATLAB and the data with simulator is exchanged over dedicated protocol. The tool, which was called cosimtcp, was developed in Deutsches Elektronen-Synchrotron (DESY). The tool is a set of scripts that provide a set of functions. This tool has been successfully used to verify many DSP algorithms implemented in the FPGA chips of the Low Level Radio Frequency (LLRF) and synchronization systems of the European X-Ray Free Electron Laser (E-XFEL) accelerator. Cosimtcp is an open source available tool.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA023
About •	paper received ※ 30 September 2019 paper accepted ※ 19 October 2019 issue date ※ 30 August 2020
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WEPHA035	Firmware Layer Implementation of the nBLM and icBLM Systems for ESS Project	linac, neutron, FPGA, interface	1157
	W. Cichalewski, G.W. Jabłoński, W. Jałmużna, R. Kiełbik TUL-DMCS, Łódź, Poland F.S. Alves, H. Carling, I. Dolenc Kittelmann, S. Farina, K.E. Rosengren, T.J. Shea ESS, Lund, Sweden
	Funding: Work supported by Polish Ministry of Science and Higher Education, decision number DIR/WK/2018/02 Both ionization chamber Beam Loss Monitor (icBLM) and neutron Beam Loss Monitor (nBLM) systems are fundamental components of European Spallation Source (ESS) accelerator safety systems. Main responsibility of this system is instantaneous and reliable detection of accelerated proton beam loss that exceeds predefined safety threshold. Nowadays DMCS (as an in-kind partner to ESS) is responsible for beam loss detection algorithm implementation, evaluation and deployment in firmware. As a hardware platform for mentioned systems MTCA.4 based form factor electronic components have been chosen (delivered by IOXOS). This contribution focuses on both cases (nBLM and icBLM) firmware realisation presentation. Proposed and developed firmware structure and functional blocks that fulfills specified by ESS requirements are described. Additionally, some aspects of the system FPGA circuit resource usage and achieved performance is being discussed.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA035
About •	paper received ※ 01 October 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
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WEPHA090	Testing Tools for the IBEX Control System	controls, framework, GUI, EPICS	1295
	T. Löhnert, F.A. Akeroyd, K.V.L. Baker, D.P. Keymer, A.J. Long, C. Moreton-Smith, D.E. Oram STFC/RAL/ISIS, Chilton, Didcot, Oxon, United Kingdom J.R. Holt, T.A. Willemsen, K. Woods Tessella, Abingdon, United Kingdom
	At the ISIS Neutron and Muon Source, we are in the process of upgrading from the LabVIEW-based SECI instrument control system to the new IBEX control system* based on EPICS. It is crucial to the running of experiments that IBEX has a high uptime and few bugs. However, it is often not possible to test the system live on an instrument prior to an experiment and thus we must be sure that it is ready to go as soon as we have users. To test that we are correctly communicating with hardware we have built a framework to automate testing of EPICS IOCs using device emulators created using the LeWIS* Python package. This lets us test that new drivers are functionally the same as those under SECI. To ensure that the full instrument control system stack is working as intended we are also using the Squish testing tool***. Whilst this is used by industry as a GUI focused tool we have used it in conjugation with a fully simulated IBEX installation to create system tests, letting us directly simulate the interactions a user has with IBEX and validate its behavior. This poster will present how using these tools has made IBEX a more robust system. https://iopscience.iop.org/article/10.1088/1742-6596/1021/1/012019/pdf https://epics-controls.org/ https://lewis.readthedocs.io/en/latest/ ***https://www.froglogic.com/squish/
	Poster WEPHA090 [0.657 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA090
About •	paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
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WEPHA124	CERN Accelerators Beam Optimization Algorithm	experiment, ISOL, controls, operation	1379
	E. Piselli, A. Akroh, S. Rothe CERN, Geneva, Switzerland K. Blaum, M. Door MPI-K, Heidelberg, Germany D. Leimbach IKP, Mainz, Germany
	In experimental physics, computer algorithms are used to make decisions to perform measurements and different types of operations. To create a useful algorithm, the optimization parameters should be based on real time data. However, parameter optimization is a time consuming task, due to the large search space. In order to cut down the runtime of optimization we propose an algorithm inspired by the numerical method Nelder-Mead. This paper presents details of our method and selected experimental results from high-energy (CERN accelerators) to low-energy (Penning-trap systems) experiments as to demonstrate its efficiency. We also show simulations performed on standard test functions for optimization.
	Poster WEPHA124 [1.069 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA124
About •	paper received ※ 27 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020
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WEPHA125	Integrating IoT Devices Into the CERN Control and Monitoring Platform	monitoring, controls, data-acquisition, framework	1385
	B. Copy, M. Bräger, A. Papageorgiou Koufidis, E. Piselli, I. Prieto Barreiro CERN, Geneva, Switzerland
	The CERN Control and Monitoring Platform (C2MON) offers interesting features required in the industrial controls domain to support Internet of Things (IoT) scenarios. This paper aims to highlight the main advantages of a cloud deployment solution, in order to support large-scale embedded data acquisition and edge computing. Several IoT use cases will be explained, illustrated by real examples carried out in collaboration with CERN Knowledge Transfer programme.
	Poster WEPHA125 [1.854 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA125
About •	paper received ※ 27 September 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020
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WEPHA137	Integration of a Model Server into the Control System of the Synchrotron Light Source DELTA	EPICS, controls, storage-ring, software	1421
	D. Schirmer, A. Althaus DELTA, Dortmund, Germany
	During the past decades, a variety of particle optics programs have been applied for accelerator studies at the storage ring facility DELTA. Depending on the application, most programs were used offline without dynamic machine synchronisation. In order to centralize and standardize storage ring modeling capabilities, a dedicated online model server was developed and integrated into the EPICS-based control system. The core server is based on Python/EPICS service modules using OCELOT and COBEA as simulation tools. All data, actual machine readings/settings, conversion coefficients, results of simulation calculations as well as manual parameter settings, are handled via EPICS process variables. Thus, the data are transparently available in the entire control system for further processing or visualisation. To improve maintainability and adaptability, the remote presentation model controller concept was realized in the implementation. The paper explains the setup of the model server and discusses first use cases.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA137
About •	paper received ※ 01 October 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020
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Paper

Title

Other Keywords

Page

MOCPR03

Planning of Interventions With the Atlas Expert System

detector, database, experiment, controls

106

I. Asensi Tortajada, A. Rummler, C.A. Solans Sanchez
CERN, Geneva, Switzerland
J.G. Torres Pais
Valencia University, Burjassot, Spain

The ATLAS Technical Coordination Expert System is a tool for the simulation of the ATLAS experiment infrastructure that combines information from diverse areas such as detector control (DCS) and safety systems (DSS), gas, water, cooling, ventilation, cryogenics, and electricity distribution. It allows the planning of an intervention during technical stops and maintenance periods, and it is being used during the LS2 to provide an additional source of information for the planning of interventions. This contribution will describe the status of the Expert System and how it us used to provide information on the impact of an intervention based on the risk assessment models of fault tree analysis and principal component analysis.

Slides MOCPR03 [9.062 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOCPR03

About •

paper received ※ 27 September 2019 paper accepted ※ 11 October 2019 issue date ※ 30 August 2020

Export •

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

MOPHA015

Reverse Engineering the Amplifier Slab Tool at the National Ignition Facility

database, target, optics, operation

228

A. Bhasker, R.D. Clark, J.E. Dorham
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
This paper discusses the challenges and steps required to convert a stand-alone legacy Microsoft Access-based application, in the absence of original requirements, to a web-based application with an Oracle backend and Oracle Application Express/JavaScript/JQuery frontend. The Amplifier Slab Selection (ASL) Tool provides a means to manage and track Amplifier Slabs on National Ignition Facility (NIF) beamlines. ASL generates simulations and parameter visualization charts of seated Amplifier Slabs as well as available replacement candidates to help optics designers make beamline configuration decisions. The migration process, undertaken by the NIF Shot Data Systems (SDS) team at Lawrence Livermore National Laboratory (LLNL), included reverse-engineering functional requirements due to evolving processes and changing NIF usage patterns.

Poster MOPHA015 [0.525 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA015

About •

paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

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

MOPHA017

pyAT, Pytac and pythonSoftIoc: a Pure Python Virtual Accelerator

controls, feedback, lattice, emittance

232

W.A.H. Rogers, T.J.R. Nicholls, A.A. Wilson
DLS, Oxfordshire, United Kingdom

Virtual accelerators are used for testing control system software against realistic accelerator simulations. Previous virtual accelerators for synchrotron light sources have used Tracy* ** and Elegant*** **** as the simulator, but without Python bindings for accelerator simulations it has been difficult to create a virtual accelerator using Python. With the development of Python Accelerator Toolbox (pyAT)*****, that is now possible. This paper describes the combination of pyAT, Python Toolkit for Accelerator Controls (Pytac) and pythonSoftIoc to create an EPICS-based virtual accelerator for Diamond Light Source.
*TRACY-2 Documentation
**The DLS Control System
***elegant: A Code for Accelerator Simulation
****A Virtual Accelerator in the Tango Control System
*****pyAT: Python Accelerator Toolbox

Poster MOPHA017 [1.006 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA017

About •

paper received ※ 30 September 2019 paper accepted ※ 08 October 2019 issue date ※ 30 August 2020

Export •

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

MOPHA045

A New Simulation Stucture to Improve Software Dependability in Collider-Accelerator Control Systems

controls, framework, factory, network

301

Y. Gao, T.G. Robertazzi
Stony Brook University, Stony Brook, New York, USA
K.A. Brown, J. Morris, R.H. Olsen
BNL, Upton, New York, USA

In this work, we propose a new simulation framework aiming to improve the robustness of the control system. It focuses on enhancing the reliability of controls ADO codes by running user-customized testing. The new simulation architecture has two independent parts; together they cover a large amount of ADOs frequently used by developers. The first part of the simulation framework focuses on testing ADOs with GPIB connections to devices. It consists of several function blocks and has a switch mechanism which enables users to conveniently turn on and off the simulation mode without changing the ADO codes. Moreover, it contains a special module which automates testing on ADO codes. Testing results are summarized and presented to users for codes analysis. The second part of the framework adopts a totally different structure. It simulates a different type of interface. Specifically, it focuses on testing ADOs with Ethernet connections to devices. It is based on a powerful networking engine called Twisted, which is an event-driven network programming framework developed by the Twisted Matrix Labs. The simulation framework can handle multiple types of devices at the same time.

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA045

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paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

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MOPHA046

A New Simulation Timing System for Software Testing in Collider-Accelerator Control Systems

timing, controls, booster, software

307

Y. Gao, T.G. Robertazzi
Stony Brook University, Stony Brook, New York, USA
K.A. Brown, M. Harvey, J. Morris, R.H. Olsen
BNL, Upton, New York, USA

Particle accelerators need a timing mechanism to properly accelerate the beam from its source to its destination. The synchronization among accelerator devices is important, which is accomplished by a distribution of timing signals. Devices which require their times synchronized to the acceleration cycle are connected to timelines. Timing signals are sent out along the timelines in the form of digital codes. Correspondingly, devices in the complex are equipped with timeline decoders, which allow devices to extract timing signals appropriately. In this work, a new simulation architecture is introduced which can generate user-specific timing events for software testing in the control systems.

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA046

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paper received ※ 27 September 2019 paper accepted ※ 08 October 2019 issue date ※ 30 August 2020

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MOPHA088

Consolidation of Re-Triggering System of LHC Beam Dumping System at CERN

operation, dumping, coupling, extraction

412

N. Magnin, W. Bartmann, C. Bracco, E. Carlier, G. Gräwer, T.D. Mottram, E. Renner, Rodziewicz, J.P. Rodziewicz, V. Senaj, C. Wiesner
CERN, Geneva, Switzerland

The Trigger Synchronization and Distribution System (TSDS) is a core part of the LHC Beam Dump System (LBDS). It comprises redundant Re-Trigger Lines (RTLs) that allow fast re-triggering of all high-voltage pulsed generators in case one self-triggers, resulting in a so-called asynchronous dump. For reliability reasons, the TSDS relies on many RTL redundant trigger sources that do not participate directly to the execution of a normal dump. After every dump, signals propagating on the RTLs are analyzed by Post Operation Check (POC) systems, to validate the correct performance and synchronization of all redundant triggers. The LBDS operated reliably since the start-up of LHC in 2008, but during the Run 2 of the LHC, new failure modes were identified that could incur damage for the beam dump block. In order to correct these failure modes, an upgrade of the TSDS is realized during the LS2. This paper reviews the experience gained with the LBDS during Run 2 of the LHC operation and describes the new architecture of the TSDS being implemented. Measurements and simulations of signals propagating on the RTL are presented, and the analysis performed by the POC systems are explained.

Poster MOPHA088 [2.435 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA088

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paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

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MOPHA131

Waste Heat Recovery for the LHC Coooling Towers: Control System Validation Using Digital Twins

controls, MMI, operation, PLC

520

B. Schofield, E. Blanco Viñuela, W. Booth
CERN, Geneva, Switzerland
M.O. Peljo
Aalto University, School of Science and Technology, Aalto, Finland

In order to improve its energy utilization, CERN will deploy a Waste Heat Recovery system at one of the LHC’s surface sites which will provide heating power to a local municipality. To study the effects that the heat recovery plant will have on the cooling system, a ’digital twin’ of the cooling plant was created in the simulation tool EcosimPro. The primary question of interest was whether the existing control system of the cooling plant would be capable of handling transients arising from a sudden shutdown of the heat recovery plan. The simulation was connected via OPC UA to a PLC implementing the cooling plant control system. This ’virtual commissioning’ setup was used to study a number of scenarios representing different cooling loads, ambient temperature conditions, and heat recovery plant operating points. Upon completion of the investigation it was found that the current cooling plant control system will be sufficient to deal with the transients arising from a sudden stop of heat recovery plant operation. In addition, it was shown that an improvement in the controls could also enhance the energy savings of the cooling towers.

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA131

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paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

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MOPHA160

Enabling Data Analytics as a Service for Large Scale Facilities

data-analysis, distributed, software, experiment

614

K. Woods, R.J. Clegg, N.S. Cook, R. Millward
Tessella, Abingdon, United Kingdom
F. Barnsely, C. Jones
STFC/RAL, Chilton, Didcot, Oxon, United Kingdom

Funding: UK Research and Innovation - Science & Technology Facilities Council (UK SBS IT18160)
The Ada Lovelace Centre (ALC) at STFC is an integrated, cross-disciplinary data intensive science centre, for better exploitation of research carried out at large scale UK Facilities including the Diamond Light Source, the ISIS Neutron and Muon Facility, the Central Laser Facility and the Culham Centre for Fusion Energy. ALC will provide on-demand, data analysis, interpretation and analytics services to worldwide users of these research facilities. Using open-source components, ALC and Tessella have together created a software infrastructure to support the delivery of that vision. The infrastructure comprises a Virtual Machine Manager, for managing pools of VMs across distributed compute clusters; components for automated provisioning of data analytics environments across heterogeneous clouds; a Data Movement System, to efficiently transfer large datasets; a Kubernetes cluster to manage on demand submission of Spark jobs. In this paper, we discuss the challenges of creating an infrastructure to meet the differing analytics needs of multiple facilities and report the architecture and design of the infrastructure that enables Data Analytics as a Service.

Poster MOPHA160 [1.665 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA160

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paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

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TUBPL02

Enabling Open Science for Photon and Neutron Sources

photon, neutron, software, experiment

694

A. Götz, J. Bodera Sempere, A. Campbell, A. De Maria Antolinos, R.D. Dimper, J. Kieffer, V.A. Solé, T. Vincet
ESRF, Grenoble, France
M. Bertelsen, T. Holm Rod, T.S. Richter, J.W. Taylor
ESS, Copenhagen, Denmark
N. Carboni
CERIC-ERIC, Trieste, Italy
S. Caunt, J. Hall, J.F. Perrin
ILL, Grenoble, France
J.C. E, H. Fangohr, C. Fortmann-Grote, T.A. Kluyver, R. Rosca
EuXFEL, Schenefeld, Germany
F.M. Gliksohn
ELI-DC, Brussels, Belgium
R. Pugliese
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
L. Schrettner
ELI-ALPS, Szeged, Hungary

Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 823852
Photon and Neutron sources are producing more and more petabytes of scientific data each year. At the same time scientific publishing is evolving to make scientific data part of publications. The Photon and Neutron Open Science Cloud (PaNOSC*) project is a EU financed project to provide scientific data management for enabling Open Science. Data will be managed according to the FAIR principles. This means data will be curated and made available under an Open Data policy, findable, interoperable and reusable. This paper will describe how the European photon and neutron sources on the ESFRI** roadmap envision PaNOSC as part of the European Open Science Cloud***. The paper will address the issues of data policy, metadata, data curation, long term archiving and data sharing in the context of the latest developments in these areas.
*https://panosc.eu
**https://www.esfri.eu/
**https://ec.europa.eu/research/openscience/index.cfm?pg=open-science-cloud

Slides TUBPL02 [14.942 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUBPL02

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paper received ※ 30 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020

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TUCPL07

Optimal Control for Rapid Switching of Beam Energies for the ATR Line at BNL

network, controls, optics, quadrupole

789

J.P. Edelen, N.M. Cook
RadiaSoft LLC, Boulder, Colorado, USA
K.A. Brown, P.S. Dyer
BNL, Upton, New York, USA

Funding: This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics under Award Number DE-SC0019682.
The Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory will undergo a beam energy scan over the next several years. To execute this scan, the transfer line between the Alternating Gradient Synchrotron (AGS) and RHIC or the so-called the ATR line, must be re-tuned for each energy. Control of the ATR line has four primary constraints: match the beam trajectory into RHIC, match the transverse focusing, match the dispersion, and minimize losses. Some of these can be handled independently, for example orbit matching. However, offsets in the beam can affect the transverse beam optics, thereby coupling the dynamics. Furthermore, the introduction of vertical optics increases the possibilities for coupling between transverse planes, and the desire to make the line spin transparent further complicates matters. During this talk, we will explore three promising avenues for controlling the ATR line, model predictive control (MPC), on-line optimization methods, and hybrid MPC and optimization methods. We will provide an overview of each method, discuss the tradeoffs between these methods, and summarize our conclusions.

Slides TUCPL07 [4.459 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPL07

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paper received ※ 08 October 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

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WEPHA018

Testing Solutions for Siemens PLCs Programs Based on PLCSIM Advanced

PLC, hardware, ISOL, controls

1107

E. Blanco Viñuela, D. Darvas
CERN, Geneva, Switzerland
Gy. Sallai
BUTE, Budapest, Hungary

Testing Programmable Logic Controllers (PLCs) is challenging, partially due to the lack of tools for testing. Isolating a part of the PLC program, feeding it with test inputs and checking the test outputs often require manual work and physical hardware. The Siemens PLCSIM Advanced tool can simulate PLCs and provide a rich application programming interface (API). This paper presents a new CERN made tool based on PLCSIM Advanced and the TIA Portal Openness API. The tool takes a test case described in an intuitive, tabular format, which is then executed with the full PLC program or a selected part of it, effectively allowing unit testing. The inputs can be fed and the outputs can be captured via the PLCSIM API. This way the tests can be executed and evaluated automatically, without manual work or physical hardware. Therefore, it is possible to provide an automated and scalable continuous testing solution for PLC programs to reveal errors as early as possible.

Poster WEPHA018 [1.026 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA018

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paper received ※ 27 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020

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WEPHA023

Co-Simulation of HDL Using Python and MATLAB Over Tcl TCP/IP Socket in Xilinx Vivado and Modelsim Tools

controls, interface, MMI, FPGA

1127

Ł. Butkowski, B. Dursun, C. Gümüş, M.K. Karakurt
DESY, Hamburg, Germany

This paper presents the solution, which helps in the simulation and verification of the implementation of the Digital Signal Processing (DSP) algorithms written in hardware description language (HDL). Many vendor tools such as Xilinx ISE/Vivado or Mentor Graphics ModelSim are using Tcl as an application programming interface. The main idea of the co-simulation is to use the Tcl TCP/IP socket, which is Tcl build in feature, as the interface to the simulation tool. Over this interface the simulation is driven by the external tool. The stimulus vectors as well as the model and verification are implemented in Python or MATLAB and the data with simulator is exchanged over dedicated protocol. The tool, which was called cosimtcp, was developed in Deutsches Elektronen-Synchrotron (DESY). The tool is a set of scripts that provide a set of functions. This tool has been successfully used to verify many DSP algorithms implemented in the FPGA chips of the Low Level Radio Frequency (LLRF) and synchronization systems of the European X-Ray Free Electron Laser (E-XFEL) accelerator. Cosimtcp is an open source available tool.

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA023

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paper received ※ 30 September 2019 paper accepted ※ 19 October 2019 issue date ※ 30 August 2020

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WEPHA035

Firmware Layer Implementation of the nBLM and icBLM Systems for ESS Project

linac, neutron, FPGA, interface

1157

W. Cichalewski, G.W. Jabłoński, W. Jałmużna, R. Kiełbik
TUL-DMCS, Łódź, Poland
F.S. Alves, H. Carling, I. Dolenc Kittelmann, S. Farina, K.E. Rosengren, T.J. Shea
ESS, Lund, Sweden

Funding: Work supported by Polish Ministry of Science and Higher Education, decision number DIR/WK/2018/02
Both ionization chamber Beam Loss Monitor (icBLM) and neutron Beam Loss Monitor (nBLM) systems are fundamental components of European Spallation Source (ESS) accelerator safety systems. Main responsibility of this system is instantaneous and reliable detection of accelerated proton beam loss that exceeds predefined safety threshold. Nowadays DMCS (as an in-kind partner to ESS) is responsible for beam loss detection algorithm implementation, evaluation and deployment in firmware. As a hardware platform for mentioned systems MTCA.4 based form factor electronic components have been chosen (delivered by IOXOS). This contribution focuses on both cases (nBLM and icBLM) firmware realisation presentation. Proposed and developed firmware structure and functional blocks that fulfills specified by ESS requirements are described. Additionally, some aspects of the system FPGA circuit resource usage and achieved performance is being discussed.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA035

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paper received ※ 01 October 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

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WEPHA090

Testing Tools for the IBEX Control System

controls, framework, GUI, EPICS

1295

T. Löhnert, F.A. Akeroyd, K.V.L. Baker, D.P. Keymer, A.J. Long, C. Moreton-Smith, D.E. Oram
STFC/RAL/ISIS, Chilton, Didcot, Oxon, United Kingdom
J.R. Holt, T.A. Willemsen, K. Woods
Tessella, Abingdon, United Kingdom

At the ISIS Neutron and Muon Source, we are in the process of upgrading from the LabVIEW-based SECI instrument control system to the new IBEX control system* based on EPICS**. It is crucial to the running of experiments that IBEX has a high uptime and few bugs. However, it is often not possible to test the system live on an instrument prior to an experiment and thus we must be sure that it is ready to go as soon as we have users. To test that we are correctly communicating with hardware we have built a framework to automate testing of EPICS IOCs using device emulators created using the LeWIS*** Python package. This lets us test that new drivers are functionally the same as those under SECI. To ensure that the full instrument control system stack is working as intended we are also using the Squish testing tool****. Whilst this is used by industry as a GUI focused tool we have used it in conjugation with a fully simulated IBEX installation to create system tests, letting us directly simulate the interactions a user has with IBEX and validate its behavior. This poster will present how using these tools has made IBEX a more robust system.
*https://iopscience.iop.org/article/10.1088/1742-6596/1021/1/012019/pdf
**https://epics-controls.org/
***https://lewis.readthedocs.io/en/latest/
****https://www.froglogic.com/squish/

Poster WEPHA090 [0.657 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA090

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paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

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WEPHA124

CERN Accelerators Beam Optimization Algorithm

experiment, ISOL, controls, operation

1379

E. Piselli, A. Akroh, S. Rothe
CERN, Geneva, Switzerland
K. Blaum, M. Door
MPI-K, Heidelberg, Germany
D. Leimbach
IKP, Mainz, Germany

In experimental physics, computer algorithms are used to make decisions to perform measurements and different types of operations. To create a useful algorithm, the optimization parameters should be based on real time data. However, parameter optimization is a time consuming task, due to the large search space. In order to cut down the runtime of optimization we propose an algorithm inspired by the numerical method Nelder-Mead. This paper presents details of our method and selected experimental results from high-energy (CERN accelerators) to low-energy (Penning-trap systems) experiments as to demonstrate its efficiency. We also show simulations performed on standard test functions for optimization.

Poster WEPHA124 [1.069 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA124

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paper received ※ 27 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020

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WEPHA125

Integrating IoT Devices Into the CERN Control and Monitoring Platform

monitoring, controls, data-acquisition, framework

1385

B. Copy, M. Bräger, A. Papageorgiou Koufidis, E. Piselli, I. Prieto Barreiro
CERN, Geneva, Switzerland

The CERN Control and Monitoring Platform (C2MON) offers interesting features required in the industrial controls domain to support Internet of Things (IoT) scenarios. This paper aims to highlight the main advantages of a cloud deployment solution, in order to support large-scale embedded data acquisition and edge computing. Several IoT use cases will be explained, illustrated by real examples carried out in collaboration with CERN Knowledge Transfer programme.

Poster WEPHA125 [1.854 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA125

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paper received ※ 27 September 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020

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WEPHA137

Integration of a Model Server into the Control System of the Synchrotron Light Source DELTA

EPICS, controls, storage-ring, software

1421

D. Schirmer, A. Althaus
DELTA, Dortmund, Germany

During the past decades, a variety of particle optics programs have been applied for accelerator studies at the storage ring facility DELTA. Depending on the application, most programs were used offline without dynamic machine synchronisation. In order to centralize and standardize storage ring modeling capabilities, a dedicated online model server was developed and integrated into the EPICS-based control system. The core server is based on Python/EPICS service modules using OCELOT and COBEA as simulation tools. All data, actual machine readings/settings, conversion coefficients, results of simulation calculations as well as manual parameter settings, are handled via EPICS process variables. Thus, the data are transparently available in the entire control system for further processing or visualisation. To improve maintainability and adaptability, the remote presentation model controller concept was realized in the implementation. The paper explains the setup of the model server and discusses first use cases.

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA137

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paper received ※ 01 October 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020

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