Keyword: detector
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MOCPR01 Graduate Software Engineer Development Program at Diamond Light Source controls, software, experiment, hardware 97
 
  • A.A. Wilson, T.M. Cobb, U.K. Pedersen
    DLS, Oxfordshire, United Kingdom
  
  Diamond Light Source is the UK’s synchrotron facility. The support and development of the beamlines and accelerators at Diamond requires a significant quantity of specific knowledge and skills; the opportunity to acquire these beforehand is not available to many early in their career. This limits the field of candidates who can begin working independently at the level of software systems engineer. The graduate software engineer development program was started in 2015 to provide a route for engineers who are recent graduates or new to the field to develop the required skills and experience. Over the course of two years it comprises a series of projects in different groups, mentored on-the-job training and organized training courses. The program has recently been expanded to cover all groups in the Scientific Software, Controls and Computation department at Diamond, with an intake of four new engineers per year. This paper presents the structure and development of the program and invites discussion with other organizations to share knowledge and experience.  
slides icon Slides MOCPR01 [1.681 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOCPR01  
About • paper received ※ 01 October 2019       paper accepted ※ 19 October 2019       issue date ※ 30 August 2020  
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MOCPR03 Planning of Interventions With the Atlas Expert System simulation, 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 icon 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  
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MOMPL008 New Neutron Sensitive Beam Loss Monitor (nBLM) neutron, controls, EPICS, PLC 137
 
  • Y. Mariette, Q. Bertrand, F. Gougnaud, T.J. Joannem, V. Nadot, T. Papaevangelou, L. Segui
    CEA-IRFU, Gif-sur-Yvette, France
  • F.S. Alves, I. Dolenc Kittelmann
    ESS, Lund, Sweden
  • W. Cichalewski, G.W. Jabłoński, W. Jałmużna, R. Kiełbik
    TUL-DMCS, Łódź, Poland
  
  The beam loss detection is of the utmost importance for accelerator safety. At CEA, we are closely collaborating with ESS and DMCS on development of ESS nBLM. The system is based on Micromegas* gaseous detector sensitives to fast neutrons produced when beam particles hit the accelerator materials. This detector has powerful features: reliable neutron detection and fast time response. The nBLM control system provides slow monitoring, fast security based on neutron counting and post mortem data. It is fully handled by EPICS, which drives 3 different subsystems: a Siemens PLC regulates the gas line, a CAEN crate controls low and high voltages, and a MTCA system based on IOxOS boards is in charge of the fast data processing for 16 detectors. The detector signal is digitized by the 250 Ms/s ADC, which is further processed by the firmware developed by DMCS and finally retrieved and sent to EPICS network. For other accelerator projects, we are designing nBLM system close to ESS nBLM one. In order to be able to sustain the full control system, we are developing the firmware and the driver. This paper summarizes CEA’s work on the nBLM control system for the ESS and other accelerators.
*Micromegas: http://irfu.cea.fr/en/Phocea/Viedeslabos/Ast/asttechnique.php?idast=2307
 		 
poster icon Poster MOMPL008 [2.475 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPL008  
About • paper received ※ 26 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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MOMPR005 Development of a New Data Acquisition System for a Photon Counting Detector Prototype at SOLEIL Synchrotron experiment, controls, software, synchrotron 162
 
  • G. Thibaux, Y.-M. Abiven, D. Bachiller-Perea, J. Bisou, A. Dawiec, A. Jarnac, B. Kanoute, F. Langlois, C. Laulhé, C. Menneglier, A. Noureddine, F. Orsini, Y. Sergent
    SOLEIL, Gif-sur-Yvette, France
  • P. Grybos, A. Koziol, P. Maj
    AGH University of Science and Technology, Kraków, Poland
  • C. Laulhe
    Université Paris-Saclay, Saint-Aubin, France
  
  Time-resolved pump-probe experiments at SOLEIL Synchrotron (France) have motivated the development of a new and fast photon counting camera prototype. The core of the camera is a hybrid pixel detector, based on the UFXC32k readout chips bump-bonded to a silicon sensor. This detector exhibits promising performances with very fast readout time, high dynamic range, extended count rate linearity and optimized X-ray detection in the energy range 5-15 keV. In close collaboration with CRISTAL beamline, SOLEIL’s Detector, Electronics and Software Groups carried out a common R&D project to design and realize a 2-chips camera prototype with a high-speed data acquisition system. The system has been fully integrated into Tango and Lima data acquisition framework used at SOLEIL. The development and first experimental results will be presented in this paper.  
poster icon Poster MOMPR005 [1.832 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPR005  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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MOPHA001 Robotizing SOLEIL Beamlines to Improve Experiments Automation controls, synchrotron, experiment, interface 183
 
  • Y.-M. Abiven, T. Bucaille, L. Chavas, E. Elkaim, P. Gourhant, Y. Liatimi, K. Medjoubi, S. Pierre-Joseph Zéphir, B. Pilliaud, V. Pinty, A. Somogyi, F. Thiam
    SOLEIL, Gif-sur-Yvette, France
  • S. Bouvel
    EFOR, Levallois Perret, France
  
  Beamlines can benefit from the implementation of industrial robots in several ways: minimization of dead time, maximization of experimental throughput, and limitation of human presence during experimentation. Furthermore, the robots add flexibility in task management. The challenge for SOLEIL is to define a robotic standard, on both hardware and software, which is versatile enough to cover beamlines requirements, while being easy to implement, easy to use, and to maintain in operation. This paper will present the process of defining such a standard at SOLEIL, using 6 axis industrial robot arms. It will detail all aspects of this development, from market studies up to technical constraints. The specifications of the robots are aimed at addressing the most common technical constraints of beamlines, with a special care for mechanical properties. The robotic systems will be integrated into the Tango control system using a feature-based approach. This standard implementation is driven by two applications: picking and placing samples for powder diffraction on the CRISTAL beamline and positioning of a detector for x-rays coherent diffraction experiments on the NANOSCOPIUM beamline.  
poster icon Poster MOPHA001 [1.455 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA001  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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MOPHA010 Automatic Beam Loss Threshold Selection for LHC Collimator Alignment alignment, collimation, beam-losses, software 208
 
  • G. Azzopardi, S. Redaelli, B. Salvachua
    CERN, Meyrin, Switzerland
  • A. Muscat, G. Valentino
    University of Malta, Information and Communication Technology, Msida, Malta
  
  The collimation system used in the Large Hadron Collider at CERN is positioned around the beam with a hierarchy that protects sensitive equipment from unavoidable beam losses. The collimator settings are determined using a beam-based alignment technique, where collimator jaws are moved towards the beam until the beam losses exceed a predefined threshold. This threshold needs to be updated dynamically, corresponding to the changes in the beam losses. The current method for aligning collimators is semi-automated requiring a collimation expert to monitor the loss signals and continuously select and update the threshold accordingly. The human element in this procedure is a major bottleneck for speeding up the alignment. This paper therefore proposes a method to fully automate this threshold selection. A data set was formed from previous alignment campaigns and analyzed to define an algorithm that produced results consistent with the user selections. In over 90% of the cases the difference between the two was negligible and the algorithm presented in this study was used for collimator alignments throughout 2018.  
poster icon Poster MOPHA010 [1.763 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA010  
About • paper received ※ 28 September 2019       paper accepted ※ 08 October 2019       issue date ※ 30 August 2020  
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MOPHA029 FORS-Up: An Upgrade of the FORS2 Instrument @ ESO VLT controls, software, electron, electronics 253
 
  • R. Cirami, V. Baldini, I. Coretti, P. Di Marcantonio
    INAF-OAT, Trieste, Italy
  • H. Boffin, F. Derie, A. Manescau, R. Siebenmorgen
    ESO, Garching bei Muenchen, Germany
  
  The FORS Upgrade project (FORS-Up), financed by the European Southern Observatory, aims at upgrading the FORS2 instrument currently installed on the UT1 telescope of the ESO Very Large Telescope in Chile. FORS2 is an optical instrument that can be operated in different modes (imaging, polarimetry, long-slit and multi-object spectroscopy). Due to its versatility, the ESO Scientific Technical Committee has identified FORS2 as a highly demanded workhorse among the VLT instruments that shall remain operative for the next 15 years. The main goals of the FORS-Up project are the replacement of the FORS2 scientific detector and the upgrade of the instrument control software and electronics. The project is conceived as "fast track" so that FORS2 is upgraded to the VLT for 2022. This paper focuses on the outcomes of the FORS-Up Phase A, ended in February 2019, and carried out as a collaboration between ESO and INAF – Astronomical Observatory of Trieste, this latter in charge of the feasibility study of the upgrade of the control software and electronics with the latest VLT standard technologies (among them the use of the PLCs and of the latest features of the VLT Control Software).  
poster icon Poster MOPHA029 [4.293 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA029  
About • paper received ※ 27 September 2019       paper accepted ※ 08 October 2019       issue date ※ 30 August 2020  
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MOPHA039 Slow Control Systems at BM@N and MPD/NICA Detector Experiments controls, experiment, TANGO, status 278
 
  • D. Egorov, V.B. Shutov
    JINR, Dubna, Moscow Region, Russia
  • P.V. Chumakov, R.V. Nagdasev
    JINR/VBLHEP, Dubna, Moscow region, Russia
  
  NICA (Nuclotron-based Ion Collider fAcility) is a new accelerator complex designed at the Joint Institute for Nuclear Research (Dubna, Russia) to study properties of dense baryonic matter. BM@N (Baryonic Matter at Nuclotron) is the first experiment at the complex. It is an experimental setup in the fixed-target hall of the Nuclotron to perform a research program focused on the production of strange matter in heavy-ion collisions. MPD (Multipurpose Detector) is a detector for colliding beam experiments at the complex, and it is being developed to provide: efficient registration of the particles produced by heavy ion collisions; identification of particle type, charge and energy; reconstruction of vertices of primary interactions and the position of secondary particle production. Existing Slow Control Systems for BM@N experiment, assembling, and testing zones of MPD detectors are based on Tango Controls. They provide monitoring and control of diverse hardware for efficient data taking, stable operation of detectors and quality control of assembled modules. Current status and developments as well as future design and plans for MPD Slow Control System will be reported.  
poster icon Poster MOPHA039 [8.295 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA039  
About • paper received ※ 30 September 2019       paper accepted ※ 08 October 2019       issue date ※ 30 August 2020  
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MOPHA098 A New Communication Interface for the European Southern Observatory (ESO)’s Very Large Telescope Technical Detector Control System Using Aravis, an Open-Source Library for GenICam Cameras interface, controls, Ethernet, software 444
 
  • K.F. Mulholland
    OSL, St Ives, Cambridgeshire, United Kingdom
  • J. Knudstrup, F. Pellegrin
    ESO, Garching bei Muenchen, Germany
  
  The European Southern Observatory’s Very Large Telescope (VLT) provides support for high-performance industrial cameras with its Technical Detector Control System (TDCS). Until now, TDCS has used a communication interface based on an API from Allied Vision Technologies (AVT), which only supports cameras made by AVT. As part of the VLT 2019 release, a new communication interface has been developed for TDCS using Aravis, the open-source library for GenICam cameras. Aravis has been independently developed to provide support for cameras from any vendor, although this is not guaranteed. It reads the GenICam interface of a GigE Vision camera to enable control. It also has capabilities for USB3Vision cameras. With this new communication interface, support for other manufacturers is now possible. It has been tested with cameras from AVT and Basler, and further tests using a CameraLink camera with a GigE Vision adapter are planned. This paper will discuss the capabilities of Aravis, considerations in the design of the communication interface, and lessons learnt from the implementation.  
poster icon Poster MOPHA098 [0.452 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA098  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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MOPHA100 quasar : The Full-Stack Solution for Creation of OPC-UA Middleware software, controls, embedded, SCADA 453
 
  • P.P. Nikiel, P. Moschovakos, S. Schlenker
    CERN, Meyrin, Switzerland
  
  Quasar (Quick OPC-UA Server Generation Framework) enables efficient development of OPC-UA servers. The project evolved into a software ecosystem providing complete OPC-UA support for Detector Control Systems. OPC-UA servers can be modeled and generated and profit from tooling to aid development, deployment and maintenance. OPC-UA client libraries can be generated and published to users. Client-server chaining is supported. quasar was used to build OPC-UA servers for different computing platforms including server machines, credit-card computers as well as System-on-a-chip solutions. Quasar generated servers can be integrated as slave modules into other software projects written in higher-level programming languages (such as Python) to provide OPC-UA information exchange. quasar supports quick and efficient integration of OPC-UA servers into a control system based on the WinCC OA SCADA platform. The ecosystem can work with different OPC-UA stacks including 100% free and open-source ones. Thus it’s not restricted by licensing constraints. The contribution will present an overview and the evolution of the ecosystem along with example applications from ATLAS DCS and beyond.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA100  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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MOPHA111 Easing the Control System Application Development for CMS Detector Control System with Automatic Production Environment Reproduction database, controls, experiment, software 476
 
  • I. Papakrivopoulos, G. Bakas, G. Tsipolitis
    National Technical University of Athens, Athens, Greece
  • U. Behrens
    DESY, Hamburg, Germany
  • J. Branson, S. Cittolin, M. Pieri
    UCSD, La Jolla, California, USA
  • P. Brummer, D. Da Silva Gomes, C. Deldicque, M. Dobson, N. Doualot, J.R. Fulcher, D. Gigi, M.S. Gladki, F. Glege, J. Hegeman, A. Mecionis, F. Meijers, E. Meschi, K. Mor, S. Morovic, L. Orsini, D. Rabady, A. Racz, K.V. Raychinov, A. Rodriguez Garcia, H. Sakulin, C. Schwick, D. Simelevicius, P. Soursos, M. Stankevicius, U. Suthakar, C. Vazquez Velez, A.B. Zahid, P. Zejdl
    CERN, Meyrin, Switzerland
  • G.L. Darlea, G. Gomez-Ceballos, C. Paus
    MIT, Cambridge, Massachusetts, USA
  • W. Li, A. Petrucci, A. Stahl
    Rice University, Houston, Texas, USA
  • R.K. Mommsen, S. Morovic, V. O’Dell, P. Zejdl
    Fermilab, Batavia, Illinois, USA
  
  The Detector Control System (DCS) is one of the main pieces involved in the operation of the Compact Muon Solenoid (CMS) experiment at the LHC. The system is built using WinCC Open Architecture (WinCC OA) and the Joint Controls Project (JCOP) framework which was developed on top of WinCC at CERN. Following the JCOP paradigm, CMS has developed its own framework which is structured as a collection of more than 200 individual installable components each providing a different feature. Everyone of the systems that the CMS DCS consists of is created by installing a different set of these components. By automating this process, we are able to quickly and efficiently create new systems in production or recreate problematic ones, but also, to create development environments that are identical to the production ones. This latter one results in smoother development and integration processes, as the new/reworked components are developed and tested in production-like environments. Moreover, it allows the central DCS support team to easily reproduce systems that the users/developers report as being problematic, reducing the response time for bug fixing and improving the support quality.  
poster icon Poster MOPHA111 [0.975 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA111  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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MOPHA133 Stable Operation of the MAX IV Laboratory Synchrotron Facility controls, experiment, TANGO, software 530
 
  • P. Sjöblom, A. Amjad, P.J. Bell, D.A. Erb, A. Freitas, V.H. Hardion, J.M. Klingberg, V. Martos, A. Milan-Otero, S. Padmanabhan, H. Petri, J.T.K. Rosenqvist, D.P. Spruce
    MAX IV Laboratory, Lund University, Lund, Sweden
  • A. Nardella
    ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
  
  MAX IV Laboratory, inaugurated in June 2016, has for the last 8 months accepted synchrotron users on three beamlines, NanoMAX, BioMAX and Hippie, while simultaneously pushing towards bringing more beamlines into the commissioning and user phases. As evidence of this, the last call issued addressed 10 beamlines. As of summer 2019, MAX IV has reached a point where 11 beamlines simultaneously have shutters open and are thus receiving light under stable operation. With 16 beamlines funded, the number of beamlines will grow over the coming years. The Controls and IT group has performed numerous beamline system installations such as a sample changer at BioMAX, Dectris detector at Nanomax, and End Station at Hippie. It has additionally developed processes, such as automated IT infrastructure with a view to accepting users. We foresee a focus on end stations and detectors, as well as data storage, data handling and scientific software. As an example, a project entitled "DataStaMP" has been recently funded aiming to increase the data and metadata storage and management system in order to accommodate the ever increasing demand for storage and access.  
poster icon Poster MOPHA133 [0.782 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA133  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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MOPHA137 Timing Synchronization and Controls Integration for ESS Detector Readout EPICS, controls, timing, FPGA 547
 
  • W. Smith
    STFC/DL, Daresbury, Warrington, Cheshire, United Kingdom
  • S. Alcock, J.M.C. Nilsson
    ESS, Lund, Sweden
  
  The European Spallation Source (ESS) is a new facility being built in Lund, Sweden, which when finished will be the world’s most powerful neutron source. STFC has an in-kind project with the Detector group at ESS to provide timing and control systems integration for the detector data readout system. This paper describes how time is synchronised and distributed to the readout system from the ESS timing system, and how EPICS is used to implement a controls interface exposing the functionality of detector front ends.  
poster icon Poster MOPHA137 [1.180 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA137  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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MOPHA163 The Detector Control System of the Muon Forward Tracker for the ALICE Experiment at LHC controls, power-supply, experiment, framework 617
 
  • K. Yamakawa
    Hiroshima University, Faculty of Science, Higashi-Hirosima, Japan
  
  ALICE is the LHC experiment specifically devoted to the study of heavy-ion collisions. The Muon Forward Tracker (MFT) is one of the new detectors developed in the framework of the upgrade programs towards the LHC Run 3 starting from 2021. A Detector Control System (DCS) was developed for the MFT within the new framework of the upgraded ALICE central DCS. In this framework, detectors will deliver physics raw data as well as slow control data. The central DCS will be composed of an interface, named Alice Low level FRont-End Device (ALFRED), to convert high-level words within the DCS to low-level words which are sent to the detector FEE as commands. Used Supervisory Control And Data Acquisition (SCADA) is WinCC Open Architecture (OA). In addition, Joint Control Project Framework is installed to provide standard DCS solutions such as a Finite State Machine (FSM) commonly used by the LHC experiments. The FSM, as a base of the DCS hierarchy, was fully developed and successfully tested. A test bench of the MFT DCS was built as a minimal setup of the full DCS chain consisting of WinCC OA, ALFRED, a demonstration board of a DCS chip and a readout board. The latest status will be presented.  
poster icon Poster MOPHA163 [1.106 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA163  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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MOSH1001 Current Status of KURAMA-II radiation, monitoring, network, survey 641
 
  • M. Tanigaki
    Kyoto University, Research Reactor Institute, Osaka, Japan
  
  KURAMA-II, a successor of a carborne gamma-ray survey system named KURAMA (Kyoto University RAdiation MApping system), has become one of the major systems for the activities related to the nuclear accident at TEPCO Fukushima Daiichi Nuclear Power Plant in 2011. The development of KURAMA-II is still on the way to extend its application areas beyond specialists. One of such activities is the development of cloud services for serving an easy management environment for data management and interactions with existing radiation monitoring schemes. Another trial is to port the system to a single-board computer for serving KURAMA-II as a tool for the prompt establishment of radiation monitoring in a nuclear accident. In this paper, the current status of KURAMA-II on its developments and applications along with some results from its applications are introduced.  
slides icon Slides MOSH1001 [94.239 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOSH1001  
About • paper received ※ 01 October 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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MOSH1002 adviewer: The EPICS Area Detector Configurator You Didn’t Know You Needed EPICS, interface, software, experiment 645
 
  • K.R. Lauer
    SLAC, Menlo Park, California, USA
  
  Funding: This work was performed in support of the LCLS project at SLAC supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-76SF00515.
EPICS Area Detector connects area detector cameras to plugin pipelines through the standard flat namespace that EPICS provides. Visualizing and re-configuring this port connectivity in AreaDetector can be confusing and - at times - painful. adviewer provides a Qt-based interactive graph visualization of all cameras and plugins, along with per-plugin configuration capabilities and integration with an image viewer. adviewer is built on Python, ophyd, typhon, qtpynodeeditor, and Qt (via qtpy). 		 
poster icon Poster MOSH1002 [4.806 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOSH1002  
About • paper received ※ 25 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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TUAPP05 PandABlocks - a Flexible Framework for Zynq7000-Based SoC Configuration FPGA, hardware, framework, controls 682
 
  • G.B. Christian, M.G. Abbott, T.M. Cobb, C.A. Colborne, A.M. Cousins, P. Garrick, T.E. Trafford, I.S. Uzun
    DLS, Oxfordshire, United Kingdom
  • Y.-M. Abiven, J. Bisou, F. Langlois, G. Renaud, G. Thibaux, S. Zhang
    SOLEIL, Gif-sur-Yvette, France
  • S.M. Minolli
    NEXEYA Systems, La Couronne, France
  
  The PandABlocks framework comprises the FPGA logic, TCP server, webserver, boot sources and root filesystem, developed for the PandABox platform by Diamond Light Source and Synchrotron Soleil, for advanced beamline scanning applications. The PandABox platform uses a PicoZed System-on-Module, comprising a Zynq-7030 SoC, coupled to a carrier board containing removable position encoder modules, as well as various input and outputs. An FMC connector provides access to ADC/DACs or additional I/O, and gigabit transceivers on the Zynq allow communication with other systems via SFP modules. Specific functions and hardware resources are represented by functional blocks, which are run-time configurable and re-wireable courtesy of multiplexed data and control buses shared between all blocks. Recent changes to the PandABlocks framework are discussed which allow the auto-generation of the FPGA code and tcl automation scripts, using Python and the jinja2 templating engine, for any combination of functional blocks and SFP/FMC modules. The framework can target hardware platforms other than PandABox and could be deployed for other Zynq-based applications requiring on-the-fly reconfigurable logic.  
slides icon Slides TUAPP05 [5.484 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUAPP05  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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TUCPR01 Developing a Toolkit for Analysis of LCLS Pump-Probe Data experiment, framework, photon, interface 795
 
  • S. Nelson
    SLAC, Menlo Park, California, USA
  
  Funding: This work was performed in support of the LCLS project at SLAC supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-76SF00515
The data format and volume at LCLS requires significant computing expertise which not all user groups can provide. We will describe the path to and current status of a Python module that enables user groups to translate and reduce their data into a format that they can easily work with. The package is developed in Python and uses the standard LCLS data analysis framework. It encapsulates knowledge of the standard beam line components and adds convenient ways to reduce the data of larger detectors. Both an event-based (best for small event sizes) and a binned approach which is able to handle larger data as megapixel size detectors are simple to setup. MPI is used for fast turn around, enabling close to real time feedback necessary to make decisions of how to use the limited amount of beam time. Jupyter notebooks are provided to demonstrate some of the available options and can serve as a convenient quick start for fast turn around analysis. 		 
slides icon Slides TUCPR01 [4.088 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPR01  
About • paper received ※ 07 October 2019       paper accepted ※ 03 November 2019       issue date ※ 30 August 2020  
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TUCPR02 Data Exploration and Analysis with Jupyter Notebooks FEL, data-analysis, experiment, software 799
 
  • H. Fangohr, M. Beg, M. Bergemann, V. Bondar, S. Brockhauser, C. Carinan, R. Costa, F. Dall’Antonia, C. Danilevski, J.C. E, W. Ehsan, S.G. Esenov, R. Fabbri, S. Fangohr, G. Flucke, C. Fortmann-Grote, D. Fulla Marsa, G. Giovanetti, D. Goeries, S. Hauf, D.G. Hickin, T. Jarosiewicz, E. Kamil, M. Karnevskiy, Y. Kirienko, A. Klimovskaia, T.A. Kluyver, M. Kuster, L. Le Guyader, A. Madsen, L.G. Maia, D. Mamchyk, L. Mercadier, T. Michelat, J. Möller, I. Mohacsi, A. Parenti, M. Reiser, R. Rosca, D.B. Rück, T. Rüter, H. Santos, R. Schaffer, A. Scherz, M. Scholz, A. Silenzi, M. Spirzewski, J. Sztuk, J. Szuba, S. Trojanowski, K. Wrona, A.A. Yaroslavtsev, J. Zhu
    EuXFEL, Schenefeld, Germany
  • S. Brockhauser
    BRC, Szeged, Hungary
  • A. Campbell, A. Götz, J. Kieffer
    ESRF, Grenoble, France
  • H. Fangohr
    University of Southampton, Southampton, United Kingdom
  • E. Fernandez-del-Castillo, G. Sipos
    The EGI Foundation, Amsterdam, The Netherlands
  • J. Hall, E. Pellegrini, J.F. Perrin
    ILL, Grenoble, France
  • T. Holm Rod, J.R. Selknaes, J.W. Taylor
    ESS, Copenhagen, Denmark
  • J. Reppin, F. Schlünzen, M. Schuh
    DESY, Hamburg, Germany
  
  Funding: With support from EU’s H{2}020 grants 823852 (PaNOSC) and #676541 (OpenDreamKit), the Gordon and Betty Moore Foundation GBMF #4856, the EPSRC’s CDT (EP/L015382/1) and program grant (EP/N032128/1).
Jupyter notebooks are executable documents that are displayed in a web browser. The notebook elements consist of human-authored contextual elements and computer code, and computer-generated output from executing the computer code. Such outputs can include tables and plots. The notebook elements can be executed interactively, and the whole notebook can be saved, re-loaded and re-executed, or converted to read-only formats such as HTML, LaTeX and PDF. Exploiting these characteristics, Jupyter notebooks can be used to improve the effectiveness of computational and data exploration, documentation, communication, reproducibility and re-usability of scientific research results. They also serve as building blocks of remote data access and analysis as is required for facilities hosting large data sets and initiatives such as the European Open Science Cloud (EOSC). In this contribution we report from our experience of using Jupyter notebooks for data analysis at research facilities, and outline opportunities and future plans. 		 
slides icon Slides TUCPR02 [15.943 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPR02  
About • paper received ※ 24 September 2019       paper accepted ※ 20 October 2019       issue date ※ 30 August 2020  
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TUCPR05 UX Focused Development Work During Recent ORNL EPICS-Based Instrument Control System Upgrade Projects controls, experiment, scattering, neutron 818
 
  • X. Yao, R.D. Gregory, G.S. Guyotte, S.M. Hartman, K.-U. Kasemir, C.A. Lionberger, M.R. Pearson
    ORNL, Oak Ridge, Tennessee, USA
  
  Funding: Oak Ridge National Laboratory is managed by UT-Battelle LLC for the US Department of Energy
The importance of usability and easy-to-use user interfaces (UI) have been recognized across many domains. However, the user-friendliness of scientific experiment control systems often lags behind industry standards in the flourishing user experience (UX) field. Scientific control systems can certainly benefit from these new UX research methods and approaches. Recent instrument control system upgrade projects at the SNS and HFIR facilities at Oak Ridge National Laboratory demonstrate the effectiveness of UX focused development work, and further reveal the need for more utilization of such techniques coming from the UX field. The ongoing control system upgrades are targeting the key facility-level priority of higher scientific productivity, and UX is one of the important tools to help us achieve this priority. We will highlight research methods and practices, introduce our findings and deliverables, and share challenges and lessons learned in applying UX methods to scientific control systems. 		 
slides icon Slides TUCPR05 [7.242 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPR05  
About • paper received ※ 03 October 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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TUDPP01 A Monitoring System for the New ALICE O2 Farm monitoring, network, database, controls 835
 
  • G. Vino, D. Elia
    INFN-Bari, Bari, Italy
  • V. Chibante Barroso, A. Wegrzynek
    CERN, Meyrin, Switzerland
  
  The ALICE Experiment has been designed to study the physics of strongly interacting matter with heavy-ion collisions at the CERN LHC. A major upgrade of the detector and computing model (O2, Offline-Online) is currently ongoing. The ALICE O2 farm will consist of almost 1000 nodes enabled to readout and process on-the-fly about 27 Tb/s of raw data. To increase the efficiency of computing farm operations a general-purpose near real-time monitoring system has been developed: it lays on features like high-performance, high-availability, modularity, and open source. The core component (Apache Kafka) ensures high throughput, data pipelines, and fault-tolerant services. Additional monitoring functionality is based on Telegraf as metric collector, Apache Spark for complex aggregation, InfluxDB as time-series database, and Grafana as visualization tool. A logging service based on Elasticsearch stack is also included. The designed system handles metrics coming from operating system, network, custom hardware, and in-house software. A prototype version is currently running at CERN and has been also successfully deployed by the ReCaS Datacenter at INFN Bari for both monitoring and logging.  
slides icon Slides TUDPP01 [1.128 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUDPP01  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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TUDPP03 Improvement of EPICS Software Deployment at NSLS-II software, controls, EPICS, hardware 847
 
  • A.A. Derbenev
    BNL, Upton, New York, USA
  
  The NSLS-II Control System has workstations and servers standardized to the usage of Debian OS. With exceptions like RTEMS and Windows systems where software is built and delivered by hand, all hosts have EPICS software installed from an internally-hosted and externally-mirrored Debian package repository. Configured by Puppet, machines have a similar environment with EPICS base, modules, libraries, and binaries. The repository is populated from epicsdeb, a community organization on GitHub. Currently, packages are available for Debian 8 and 9 with legacy support being provided for Debian 6 and 7. Since packaging creates overhead on how quickly software updates can be available, keeping production systems on track with development is a challenging task. Software is often customized and built manually to get recent features, e.g. for AreaDetector. Another challenge is services like GPFS which underperform or do not work on Debian. Proposed improvements target keeping the production environment up to date. A detachment from the host OS is achieved by using containers, such a Docker, to provide software images. A CI/CD pipeline is created to build and distribute software updates.  
slides icon Slides TUDPP03 [0.710 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUDPP03  
About • paper received ※ 29 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEBPP04 P99: An Optical Beamline for Offline Technique Development and Systems Integration for Prototype Beamline Instrumentation software, controls, hardware, operation 898
 
  • A.D. Parsons, S. Ahmed, M. Basham, D. Bond, B. Bradnick, M.H. Burt, T.M. Cobb, N. Dougan, M. Drakopoulos, J. Ferner, J. Filik, C.A. Forrester, L. Hudson, P. Joyce, B. Kaulich, A. Kavva, J.H. Kelly, J. Mudd, B.J. Nutter, N. O’Brien, P.D. Quinn, K.A. Ralphs, C. Reinhard, J. Shannon, M.P. Taylor, T.E. Trafford, X.T. Tran, E. Warrick, A.A. Wilson, A.D. Winter
    DLS, Oxfordshire, United Kingdom
  
  Diamond Light Source is a publicly funded 3rd generation national synchrotron which will soon operate 39 state-of-the-art instruments covering a wide range of physical and life science applications. Realization of such instruments poses many challenges from initial scientific concept, to final user experience. To get best efficiency, Diamond operates a modular approach for engineering and software systems support, usually with custom hardware or software component coming together on the final instrument in-situ. To facilitate cross-group collaboration, prototyping, integrated development and testing of the full instrument including scientific case before the final implementation, an optical prototyping setup has been developed which has an identical backend to real beamline instruments. We present detail of the software and hardware components of this environment and how these have been used to develop functionality for the new operational instruments. We present several high impact examples of such integrated prototyping development including the instrumentation for DIAD (integrated Dual Imaging And Diffraction) and the J08 beamline for: soft X-ray ptychography end-station.  
slides icon Slides WEBPP04 [10.428 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEBPP04  
About • paper received ※ 01 October 2019       paper accepted ※ 21 October 2019       issue date ※ 30 August 2020  
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WEDPL02 AliECS: A New Experiment Control System for the Alice Experiment controls, experiment, operation, distributed 956
 
  • T. Mrnjavac, K. Alexopoulos, V. Chibante Barroso, G.C. Raduta
    CERN, Geneva, Switzerland
  
  The ALICE Experiment at CERN LHC (Large Hadron Collider) is undertaking during Long Shutdown 2 in 2019-2020 a major upgrade, which includes a new computing system called O² (Online-Offline). To ensure the efficient operation of the upgraded experiment along with its newly designed computing system, a reliable, high performance and automated experiment control system is being developed with the goal of managing all O² synchronous processing software, and of handling the data taking activity by interacting with the detectors, the trigger system and the LHC. The ALICE Experiment Control System (AliECS) is a distributed system based on state of the art cluster management and microservices which have recently emerged in the distributed computing ecosystem. Such technologies will allow the ALICE collaboration to benefit from a vibrant and innovating open source community. This communication illustrates the AliECS architecture. It provides an in-depth overview of the system’s components, features and design elements, as well as its performance. It also reports on the experience with AliECS as part of ALICE Run 3 detector commissioning setups.  
slides icon Slides WEDPL02 [2.858 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEDPL02  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEMPR001 Data Analysis Infrastructure for Diamond Light Source Macromolecular & Chemical Crystallography and Beyond experiment, database, monitoring, data-acquisition 1031
 
  • M. Gerstel, A. Ashton, R.J. Gildea, K. Levik, G. Winter
    DLS, Oxfordshire, United Kingdom
  
  The Diamond Light Source data analysis infrastructure, Zocalo, is built on a messaging framework. Analysis tasks are processed by a scalable pool of workers running on cluster nodes. Results can be written to a common file system, sent to another worker for further downstream processing and/or streamed to a LIMS. Zocalo allows increased parallelization of computationally expensive tasks and makes the use of computational resources more efficient. The infrastructure is low-latency, fault-tolerant, and allows for highly dynamic data processing. Moving away from static workflows expressed in shell scripts we can easily re-trigger processing tasks in the event that an issue is found. It allows users to re-run tasks with additional input and ensures that automatically and manually triggered processing results are treated equally. Zocalo was originally conceived to cope with the additional demand on infrastructure by the introduction of Eiger detectors with up to 18 Mpixels and running at up to 560 Hz framerate on single crystal diffraction beamlines. We are now adapting Zocalo to manage processing tasks for ptychography, tomography, cryo-EM, and serial crystallography workloads.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPR001  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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WEMPR004 Why Should You Invest in Asset Management? A Fire and Gas Use Case database, software, SCADA, MMI 1041
 
  • H. Nissen, S. Grau
    CERN, Geneva, Switzerland
  
  At present, the CERN Fire and Gas detection systems involve about 22500 sensors and their number is increasing rapidly at the same time as the number of equipped installations grows up. These assets cover a wide spectrum of technologies, manufacturers, models, parameters, and ages, reflecting the 60 years of CERN history. The use of strict rules and data structures in the declaration of the assets can make a big impact on the overall system maintainability and therefore on the global reliability of the installation. Organized assets data facilitates the creation of powerful reports that help asset owners and management address material obsolescence and end-of-life concerns with a global perspective Historically preventive maintenance have been used to assure the correct function of the installations. With modern supervision systems, a lot of data is collected and can be used to move from preventive maintenance towards data driven maintenance (predictive). Moreover it optimizes maintenance cost and increase system availability while maintaining reliability. A prerequisite of this move is a coherence on the assets defined in the asset management system and in the supervision system.  
poster icon Poster WEMPR004 [0.675 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPR004  
About • paper received ※ 27 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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WEMPR010 Anomaly Detection for CERN Beam Transfer Installations Using Machine Learning feedback, experiment, controls, kicker 1066
 
  • T. Dewitte, W. Meert, E. Van Wolputte
    Katholieke Universiteit Leuven, Leuven, Belgium
  • P. Van Trappen
    CERN, Geneva, Switzerland
  
  Reliability, availability and maintainability determine whether or not a large-scale accelerator system can be operated in a sustainable, cost-effective manner. Beam transfer equipment (e.g. kicker magnets) has potentially significant impact on the global performance of a machine complex. Identifying root causes of malfunctions is currently tedious, and will become infeasible in future systems due to increasing complexity. Machine Learning could automate this process. For this purpose a collaboration between CERN and KU Leuven was established. We present an anomaly detection pipeline which includes preprocessing, detection, postprocessing and evaluation. Merging data of different, asynchronous sources is one of the main challenges. Currently, Gaussian Mixture Models and Isolation Forests are used as unsupervised detectors. To validate, we compare to manual e-logbook entries, which constitute a noisy ground truth. A grid search allows for hyper-parameter optimization across the entire pipeline. Lastly, we incorporate expert knowledge by means of semi-supervised clustering with COBRAS.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPR010  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEPHA016 A/D and D/A Processing Unit for Real Time Control of Suspended Masses in Advanced Virgo Interferometer controls, FPGA, electronics, electron 1098
 
  • M. Bitossi, A. Gennai
    INFN-Pisa, Pisa, Italy
  • D. Passuello
    University of Pisa and INFN, Pisa, Italy
  
  AdV* is the project to upgrade** the VIRGO*** interferometric detector of gravitational waves. We present a major upgrade consisting of the design of new control electronics of the seismic isolation systems called Super-Attenuators (SAs)*. SAs are mechanical structures used to insulate optical elements from seismic noise. The control electronics are used to manage sensors, actuators, and stepping motors placed in the SAs. The design effort resulted in a high-performance signal conditioning and processing platform (UDSPT) that enables users to implement hard real-time control systems. The form factor is a variation of a double compact Module PICMG AMC.0 R2.0 Advanced MC. The key features are a TI DSP embedded, two GE ports, an AMC Interface containing SRIO, and GE, an FPGA interfacing data converters through PCIe. Additionally, it includes six 24-bit 3.83 MHz ADC and six 24-bit 320 kHz DAC converters, with fully differential inputs and outputs. In a single local control unit - a single 6U x 19 crate - up to 72 ADC + 72 DAC channels supported by 720 GFLOPs are allocated. A total of 20 local control units have been installed and currently are controlling ten SAs in the AdV detector.
*AdV Tech Des Rep 13 April 2012.
**Advanced Virgo Baseline Design
***J. Phys.: Conf. Ser., 203(2010)012074. 		 
poster icon Poster WEPHA016 [1.858 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA016  
About • paper received ※ 23 September 2019       paper accepted ※ 11 October 2019       issue date ※ 30 August 2020  
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WEPHA041 The CMS ECAL Control and Safety Systems Upgrades During the CERN LHC Long Shutdown 2 controls, hardware, software, PLC 1175
 
  • D.R.S. Di Calafiori, G. Dissertori, R.J. Jiménez Estupinan, W. Lustermann, S. Zelepoukine
    ETH, Zurich, Switzerland
  • A. Tsirou
    CERN, Meyrin, Switzerland
  • P.G. Verdini
    INFN-Pisa, Pisa, Italy
  • P.G. Verdini
    UNIPI, Pisa, Italy
  • S. Zelepoukine
    UW-Madison/PD, Madison, Wisconsin, USA
  
  The Electromagnetic Calorimeter (ECAL) is one of the sub-detectors of the Compact Muon Solenoid (CMS), a general-purpose particle detector at the CERN Large Hadron Collider (LHC). The CMS ECAL Detector Control System (DCS) and the CMS ECAL Safety System (ESS) have supported the detector operations and ensured the detector’s integrity since the CMS commissioning phase, more than 10 years ago. Over this long period, several changes to both systems were necessary to keep them in-line with current hardware technologies and the evolution of software platforms. The acquired experience of long-term running of both systems led to the need of major modifications to the original design and implementation methods. Such interventions to either systems, which require mid- to long-term validation, result in a considerable amount of downtime and therefore can only be performed during long LHC shutdown periods. This paper discusses the software and hardware upgrades to be carried out during the LHC Long Shutdown 2 (LS2), with emphasis on the evaluation of design choices concerning custom and standard industrial hardware.  
poster icon Poster WEPHA041 [5.188 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA041  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEPHA044 Upgrade of the Bunch Length and Bunch Charge Control Systems for the New SLAC Free Electron Laser linac, timing, electron, EPICS 1185
 
  • M.P. Donadio, A.S. Fisher, L. Sapozhnikov
    SLAC, Menlo Park, California, USA
  
  In 2019 SLAC is building a new linear accelerator based on superconducting niobium cavities. The first one, now called the copper linac, could generate 120 electron bunches per second. The new one, called superconducting linac, will generate 1 million per second, bringing some challenges to many devices along with the accelerator. Most of them receive sensors and actuators in a VME-based Platform with its control running in software, with RTEMS as OS. This is feasible for 120 Hz, but not for 1 MHz. The new control hardware is ATCA-based Platform, that has carrier boards with FPGA connected to servers running Embedded real-time Linux OS, forming the High-Performance System (HPS). Instead of having all the new architecture installed at the accelerator and tested on the go, SLAC used the strategy of testing the systems in the copper linac, to have them ready to use in the superconducting linac in what was called the Mission Readiness Program. The Bunch Length System and the Bunch Charge System are examples of devices of this program. Both systems were tested in the copper linac at 120 Hz, with excellent results. The next step is to test them at the superconducting linac, at 1 MHz.  
poster icon Poster WEPHA044 [1.308 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA044  
About • paper received ※ 28 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEPHA045 Data Acquisition Strategy and Developments at MAX IV controls, data-acquisition, experiment, TANGO 1190
 
  • M. Eguiraun, A. Amjad, P.J. Bell, A. Dupre, D.A. Erb, V.H. Hardion, N.A. Håkansson, A. Milan-Otero, J.F.J. Murari, E. Rosendahl
    MAX IV Laboratory, Lund University, Lund, Sweden
  
  The experimental capabilities at the MAX IV synchrotron consists of 17 beamlines at full capacity. Each beamline puts different requirements on the control system in terms of data acquisition, high performance, data volume, pre-processing needs, and fast experiment feedback and online visualization. Therefore, high demands are put on the data management systems, and the reliability and performance of these systems has a big impact on the overall success of the facility. At MAX IV we have started the DataStaMP (Data Storage and Management Project) with the aim of providing a unified and reliable solution for all data sources in our facility. This work presents the control system aspects of the project. It is initially aimed at providing data management solution for a selected number of detectors and beamlines. It is developed in a modular and scalable architecture and combines several programming languages and frameworks. All the software runs in a dedicated cluster and communicates with the experimental stations through high performance networks, using gRPC to talk to the control system and ZMQ for retrieving the data stream.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA045  
About • paper received ※ 17 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEPHA069 babyIOC - Control System in a Box Small Factor Solution hardware, software, controls, experiment 1262
 
  • O. Ivashkevych, M.C. Cowan, L.F. Flaks, D. Poshka, T. Smith
    BNL, Upton, New York, USA
  
  Funding: National Synchrotron Light Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated by Brookhaven National Laboratory under Contract No. DE-AC02-98CH10886.
In the world of increasing complexity and integration, experiments often stretch over multiple beamlines or several facilities. Users may come with their own sample environments and detectors. It is always a challenge to integrate user end-station equipment into the hosting facility controls. Recognizing this trend, NSLS2 has developed babyIOC* Control System in Box, portable small-factor IOC solution. The new release comes with CentOS, EPICS, as well as areaDetector-3-5**. The selected hardware is from innovative hardware designer UDOO***, Italy. This SBC has diskless 64-bit Intel architecture, 4-core 2.56 GHz, 8 GB of RAM, x3 1 Gbit interfaces for ~$400 US. System boots and runs from microSD card. Building another system comes to copying the image to another microSD card. We believe this board with the easy downloadable image can be used at any facility and/or experimental stations including Tango systems, that would be interested benefiting from areaDetector package. Given a growing interest to areaDetector software from Tango community, babyIOC could serve as evaluation starting point.
*https://oksanagit.github.io/babyIOC
**https://github.com/areaDetector
***https://www.udoo.org/
 		 
poster icon Poster WEPHA069 [2.527 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA069  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEPHA083 ophyd Devices: Imposing Hierarchy on the Flat EPICS V3 Namespace EPICS, interface, controls, status 1284
 
  • K.R. Lauer
    SLAC, Menlo Park, California, USA
  
  Funding: This work was performed in support of the LCLS project at SLAC supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-76SF00515.
EPICS V3 provides simple data types accessible over the network through Channel Access identified by a flat process variable (PV) name. This flexibility is often regarded as a strength of EPICS, as the user can easily pick and choose the information they require. However, such data is almost always inter-related in some manner, pushing the burden of reconstructing that relationship to the end-user/client. ophyd represents hardware in Python as hierarchical classes, grouping together related signals from the underlying control system. ophyd devices make imposing this hierarchy simple, readable, and descriptive. This structure allows ophyd to provide a consistent interface across a wide-range of devices, which can then be used by higher-level software for any number of tasks: from command-line inspection, to scanning/data collection (bluesky), or even automatic GUI generation (typhon, adviewer). ophyd contains a number of pre-built devices for common hardware (and IOCs) as well as the tools to build custom devices. 		 
poster icon Poster WEPHA083 [2.385 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA083  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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WEPHA102 A Software Suite for the Radiation Tolerant Giga-bit Transceiver - Slow Control Adapter software, controls, interface, experiment 1333
 
  • P. Moschovakos, P.P. Nikiel, S. Schlenker
    CERN, Meyrin, Switzerland
  • H. Boterenbrood
    NIKHEF, Amsterdam, The Netherlands
  • A. Koulouris
    NTUA, Athens, Greece
  
  The future upgrades of the LHC (Large Hadron Collider) will increase its luminosity. To fulfill the needs of the detector electronic upgrades and in particular to cope with the extreme radiation environment, the GBT-SCA (Giga-Bit Transceiver - Slow Control Adapter) ASIC was developed for the control and monitoring of on-detector electronics. To benefit maximally from the ASIC, a flexible and hardware interface agnostic software suite was developed. A hardware abstraction layer - the SCA software package - exploits the abilities of the chip, maximizes its potential performance for back-end implementations, provides control over ASIC configuration, and enables concurrent operations wherever possible. An OPC UA server was developed on top of the SCA software library to integrate seamlessly with distributed control systems used for detector control and Trigger/DAQ (Data AcQuisition) configuration, both of which communicate with the GBT-SCA via network-attached optical link receivers based on FPGAs. This paper describes the architecture, design and implementation aspects of the SCA software suite components and their application in the ATLAS experiment.  
poster icon Poster WEPHA102 [3.008 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA102  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEPHA170 First Steps in Automated Software Development Approach for LHC Phase II Upgrades CO2 Detector Cooling Systems controls, PLC, operation, software 1488
 
  • L. Zwalinski, J. Daguin, L.T. Davoine, N. Frank, D. Giakoumi, M. Ostrega, P. Petagna, P. Tropea, B. Verlaat
    CERN, Meyrin, Switzerland
  
  With refrigerating power of the order of 1.5 kW at -35 °C and full compatibility with Detector Control System standards, Light Use Cooling Appliance for Surface Zones (LUCASZ) is the first movable medium size evaporative CO2 detector cooling system. By 2018 a series of 4 LUCASZ units has been fully deployed by the EP-DT group at CERN. LUCASZ is capable to provide CO2 cooling for various needs of detector development and testing required for Phase I&II upgrades of LHC experiments. This paper describes selected software and controls hardware ideas used to develop the LUCASZ control system as baseline solutions for CO2 cooling systems for Phase II upgrade of ATLAS and CMS trackers. The main challenges for future control system development will come from the number of cooling plants, the modularity, operation, and the implementation of backup philosophy. The introduction of automated software generation for both PLC and SCADA is expected to bring major improvement on the efficiency of control system implementation. In this respect, a unification step between experiments is highly required without neglecting specific needs of ATLAS and CMS.  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA170  
About • paper received ※ 29 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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WEPHA174 ADUVC - an EPICS Areadetector Driver for USB Video Class Devices EPICS, controls, experiment, monitoring 1492
 
  • J. Wlodek
    Stony Brook University, Computer Science Department, Stony Brook, New York, USA
  • K.J. Gofron
    BNL, Upton, New York, USA
  
  Most devices supported by EPICS areaDetector fall under one of two categories: detectors and cameras. Many of the cameras in this group can be classified as industrial cameras, and allow for fine control of exposure time, gain, frame rate, and many other image acquisition parameters. This flexibility can come at a cost however, with most such industrial cameras’ prices starting near one thousand dollars, with the price rising for cameras with more features and better hardware. While these prices are justified for situations that require a large amount of control over the camera, for monitoring tasks and some basic data acquisition the use of consumer devices may be sufficient while being far less cost-prohibitive. The solution we developed was to write an areaDetector driver for USB Video Class (UVC) devices, which allows for a variety of cameras and webcams to be used through EPICS and areaDetector, with most costing under $100.  
poster icon Poster WEPHA174 [1.658 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA174  
About • paper received ※ 01 October 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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THBPP03 Deep Learning Methods on Neutron Scattering Data scattering, experiment, neutron, network 1580
 
  • P. Mutti, F. Cecillon, Y. Le Goc, G. Song
    ILL, Grenoble, France
  
  Recently, by using deep learning methods, computers are able to surpass or come close to matching human performance on image analysis and pattern recognition. This advanced method could also help interpreting data from neutron scattering experiments. Those data contain rich scientific information about structure and dynamics of materials under investigation, and deep learning could help researchers better understand the link between experimental data and materials properties. We applied deep learning techniques to scientific neutron scattering data. This is a complex problem due to the multi-parameter space we have to deal with. We have used a convolutional neural network-based model to evaluate the quality of experimental neutron scattering images, which can be influenced by instrument configuration, sample and sample environment parameters. Sample structure can be deduced during data collection that can be therefore optimized. The neural network model can predict the experimental parameters to properly setup the instrument and derive the best measurement strategy. This results in a higher quality of data obtained in a shorter time, facilitating data analysis and interpretation.  
slides icon Slides THBPP03 [11.877 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-THBPP03  
About • paper received ※ 04 October 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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THBPP04 Hard X-Ray Pair Distribution Function (PDF) Beamline and End-Station Control System controls, network, EPICS, experiment 1584
 
  • O. Ivashkevych, M. Abeykoon, J. Adams, G. Bischof, E.D. Dooryhee, J. Li, R. Petkus, J.T. Trunk, Z. Yin
    BNL, Upton, New York, USA
  
  Funding: National Synchrotron Light Source, a U.S. Department of Energy (DOE) Office of Science User Facility operated by Brookhaven National Laboratory under Contract No. DE-AC02-98CH10886.
PDF beamline is a new addition to Diffraction and In Situ Scattering program. Its state-of-the-art end-station gantry system has two detector stages and one sample environment with 3 m travel rated for 200 kg each. Detectors and environment stages move with 300 mm/s. Linear Brushless DC motors are controlled by Geo Brick LV Delta Tau motor-controller. Stages are equipped with absolute encoders and proximity sensors to avoid collisions. Control system slows the stages down when proximity switches are activated and moves 300 mm/s otherwise. A complex controls and safety system with many custom features is required to provide the full functionality of the gantry system and to protect equipment and users. An optics condition module located upstream of the gantry system contain beam defining slits, a fast shutter that is synchronized with detector frame rate, an alignment LASER, and an X-ray Energy Calibration System. The controls system of the OCM supports automatic operation of the ECS followed by unexpected beam dumps to recalibrate the X-ray wavelength. This contribution will discuss the details of the control system design, implementation, challenges, and first user experience. 		 
slides icon Slides THBPP04 [9.294 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-THBPP04  
About • paper received ※ 01 October 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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THBPP05 Implementing Odin as a Control and Data Acquisition Framework for Eiger Detectors controls, data-acquisition, framework, EPICS 1590
 
  • G.D. Yendell, U.K. Pedersen, M.P. Taylor
    DLS, Oxfordshire, United Kingdom
  • A. Greer
    OSL, St Ives, Cambridgeshire, United Kingdom
  • A.B. Neaves, T.C. Nicholls
    STFC/RAL, Chilton, Didcot, Oxon, United Kingdom
  
  The increasing data throughput of modern detectors is a growing challenge for back-end data acquisition systems. OdinData provides a scalable framework for data acquisition used by multiple beamlines at Diamond Light Source (DLS). While it can be implemented standalone, OdinControl is used to provide a convenient interface to OdinData. Eiger detectors at DLS were initially integrated into the Odin framework specifically for the data acquisition capability, but the addition of detector control provides a more coherent and easily deployable system. OdinControl provides a generic HTTP API as a single point of control for various devices and applications. Adapters can abstract the low-level control of a detector into a consistent API, making it easier for high-level applications to support different types of detector. This paper sets out the design and development of Odin as a control system agnostic interface to integrate Eiger detectors into EPICS beamline control systems at DLS, as well as the current status of operation.  
slides icon Slides THBPP05 [1.724 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-THBPP05  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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THCPR06 The ITk Common Monitoring and Interlock System controls, monitoring, radiation, operation 1634
 
  • S. Kersten, P. Kind, M. Wensing
    Bergische Universität Wuppertal, Wuppertal, Germany
  • C.W. Chen, J.-P. Martin, N.A. Starinski
    GPP, Montreal, Canada
  • S.H. Connell
    University of Johannesburg, Johannesburg, South Africa
  • D. Florez, C. Sandoval
    UAN, Bogotá D.C., Colombia
  • I. Mandić
    JSI, Ljubljana, Slovenia
  • P.W. Phillips
    STFC/RAL, Chilton, Didcot, Oxon, United Kingdom
  • E. Stanecka
    IFJ-PAN, Kraków, Poland
  
  For the upgrade of the LHC to the High Luminosity LHC the ATLAS detector will install a new all-silicon Inner Tracker (ITk). The innermost part is composed by pixel detectors, the outer part by strip detectors. All together ca. 28000 detector modules will be installed in the ITk volume. Although different technologies were chosen for the inner and outer part, both detectors share a lot of commonalities concerning their requirements. These are operation in the harsh radiation environment, the restricted space for services, and the high power density, which requires a high efficient cooling system. While the sub detectors have chosen different strategies to reduce their powering services, they share the same cooling system, CO2. The main risks for operation are heat ups and condensation, therefore a common detector control system is under development. It provides a detailed monitoring of the temperature, the radiation and the humidity in the tracker volume. Additionally an interlock system, a hardware based safety system, is designed to protect the sensitive detector elements against upcoming risks. The components of the ITk common monitoring and interlock system are presented.  
slides icon Slides THCPR06 [3.847 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-THCPR06  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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