ICALEPCS2017 - List of Keywords (diagnostics)

Paper	Title	Other Keywords	Page
MOAPL03	Status of the National Ignition Facility (NIF) Integrated Computer Control and Information Systems	ion, controls, target, operation	14
	G.K. Brunton, Y.W. Abed, M.A. Fedorov, B.T. Fishler, D.W. Larson, A.P. Ludwigsen, D.G. Mathisen, V.J. Miller Kamm, M. Paul, R.K. Reed, D.E. Speck, E.A. Stout, S.L. Townsend, B.M. Van Wonterghem, S. Weaver, E.F. Wilson LLNL, Livermore, California, USA
	Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344 The National Ignition Facility (NIF) is the world's largest and most energetic laser experimental facility with 192 beams capable of delivering 1.8 megajoules of 500-terawatt ultraviolet laser energy to a target. The energy, temperatures and pressures capable of being generated on the NIF allow scientists the ability to generate conditions similar to the center of the sun and explore the physics of planetary interiors, supernovae, black holes and thermonuclear burn. This year concludes a very successful multi-year plan of optimizations to the control & information systems and operational processes to increase the quantity of experimental target shots conducted in the facility. In addition, many new system control and diagnostic capabilities have been commissioned for operational use to maximize the scientific value produced. With NIF expecting to be operational for greater than 20 years focus has also been placed on optimizing the software processes to improve the sustainability of the control system. This talk will report on the current status of each of these areas in support of the wide variety of experiments being conducted in the facility. Release No.: LLNL-ABS-727237-DRAFT
	Talk as video stream: https://youtu.be/u6HehUp9-Ms
	Slides MOAPL03 [1.354 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-MOAPL03
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MOCPL02	Experiences with Laser Survey Instrument Based Approach to National Ignition Facility Diagnostic Alignments	ion, alignment, target, laser	52
	E.F. Wilson, M.A. Fedorov, J.R. Hoffman, W.A. Howes, M.J. Lewis, C.L.M. Martinez-Nieves, V. Pacheu, N. Shingleton LLNL, Livermore, California, USA
	Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. The National Ignition Facility (NIF) uses powerful lasers to compress targets, to study high energy density physics. Sophisticated diagnostics are placed close to the targets to record the results of each shot. The placement of these diagnostics relative to the target is critical to the mission, with alignment tolerances on the order of 500 microns. The integration of commercial laser-based survey instruments into the NIF control system has improved diagnostic alignment in many ways. The Advanced Tracking Laser Alignment System (ATLAS) project incorporates commercial Faro laser tracker instruments into the diagnostic factory and the target chamber, improving alignment accuracy over prior systems. The system uses multiple retroreflectors mounted on each of the diagnostic positioners to translate to a 6D position in the NIF target chamber volume. This enables a closed loop alignment process to align each diagnostic. This paper provides an overview of how the laser tracker is used in diagnostic alignment, and discusses challenges met by the control system to achieve this integration.
	Talk as video stream: https://youtu.be/AIK4GBUOmCw
	Slides MOCPL02 [278.247 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-MOCPL02
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TUMPL05	Strategies for Migrating to a New Experiment Setup Tool at the National Ignition Facility	ion, experiment, interface, target	311
	A.D. Casey, R.G. Beeler, C.D. Fry, J. Mauvais, E.R. Pernice, M. Shor, J.L. Spears, D.E. Speck, S.L. West 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. For the last 10 years, the National Ignition Facility (NIF) has provided scientists with an application, the Campaign Management Tool (CMT), to define the parameters needed to achieve their experimental goals. Conceived to support the commissioning of the NIF, CMT allows users to define over 18,000 settings. As NIF has transitioned to an operational facility, the low-level focus of CMT is no longer required by most users and makes setting up experiments unnecessarily complicated. At the same time, requirements have evolved as operations has identified new functionality required to achieve higher shot execution rates. Technology has also changed since CMT was developed, with the availability of the internet and web-based tools being two of the biggest changes. To address these requirements while adding new laser and diagnostic capabilities, NIF has begun to replace CMT with the Shot Setup Tool (SST). This poses challenges in terms of software development and deployment as the introduction of the new tool must be done with minimal interruption to ongoing operations. The development process, transition strategies and technologies chosen to migrate from CMT to SST will be presented. LLNL-ABS-728212
	Slides TUMPL05 [1.871 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUMPL05
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TUPHA040	Development of Real-Time Data Publish and Subscribe System Based on Fast RTPS for Image Data Transmission	ion, real-time, network, experiment	473
	G.I. Kwon, J.S. Hong, T.G. Lee, W.R. Lee, J.S. Park, T.H. Tak NFRI, Republic of Korea
	Funding: This work was supported by the Korean Ministry of Science ICT & Future Planning under the KSTAR project. In fusion experiment, real-time network is essential to control plasma real-time network used to transfer the diagnostic data from diagnostic device and command data from PCS(Plasma Control System). Among the data, transmitting image data from diagnostic system to other system in real-time is difficult than other type of data. Because, image has larger data size than other type of data. To transmit the images, it need to have high throughput and best-effort property. And To transmit the data in real-time manner, the network need to has low-latency. RTPS(Real Time Publish Subscribe) is reliable and has Quality of Service properties to enable best effort protocol. In this paper, eProsima Fast RTPS was used to implement RTPS based real-time network. Fast RTPS has low latency, high throughput and enable to best-effort and reliable publish and subscribe communication for real-time application via standard Ethernet network. This paper evaluates Fast RTPS about suitability to real-time image data transmission system. To evaluate performance of Fast RTPS base system, Publisher system publish image data and multi subscriber system subscribe image data. * giilkwon@nfri.re.kr, Control team, National Fusion Research Institute, Daejeon, South Korea
	Poster TUPHA040 [8.164 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA040
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TUPHA080	New Data Acquisition System Implemented Based on MTCA.4 Form Factor for KSTAR Diagnostic System	ion, controls, site, real-time	593
	T.G. Lee, J.S. Hong, G.I. Kwon, W.R. Lee, T.H. Tak NFRI, Daejon, Republic of Korea
	In Korea Superconducting Tokamak Advanced Research (KSTAR), various diagnostics systems were operated from the first plasma in 2008. Many diagnostic devices have been installed for measuring the various plasma properties such as plasma current, magnetic current, electron density, electron temperature, impurity, and so on. The DAQ system for measuring the various plasma properties were developed with various form factor digitizer such as VME, CPCI, PXI, VXI. and PCIe. These complicated form factors installed on KSTAR have difficulties with hardware management, software management and performance upgrades. In order to control real-time systems using several diagnostic signals, the real-time control system is required to share the data without delay between the diagnostic measurement system and the real-time control system without branch one signal. Therefore, we developed the Multifunction Control Unit (KMCU) as the standard control system MTCA.4 form-factor and implemented the various diagnostic DAQ system using KMCU V2, that is KMCU-Z30. This paper will present the implementation of KSTAR diagnostic DAQ systems configured with KMCU based on MTCA.4 and their operating results.
	Poster TUPHA080 [1.779 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA080
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THMPL01	A Simple Temporal Network for Coordination of Emergent Knowledge Processes in a Collaborative System-of-Systems	ion, experiment, operation, network	1252
	M.A. Schaffner Sandia National Laboratories, Albuquerque, New Mexico, USA
	Funding: U.S. Department of Energy's National Nuclear Security Administration, DE-NA0003525 The Z Machine is the world's largest pulsed power machine, routinely delivering over 20 MA of electrical current to targets in support of US nuclear stockpile stewardship and in pursuit of inertial confinement fusion. The large-scale, multi-disciplinary nature of experiments ('shots') on the Z Machine requires resources and expertise from disparate organizations with independent functions and management, forming a Collaborative System-of-Systems. This structure, combined with the Emergent Knowledge Processes central to preparation and execution, creates significant challenges in planning and coordinating required activities leading up to a given experiment. The present work demonstrates an approach to scheduling planned activities on shot day to aid in coordinating workers among these different groups, using minimal information about activities' temporal relationships to form a Simple Temporal Network (STN). Historical data is mined, allowing a standard STN to be created for common activities, with the lower bounds between those activities defined. Activities are then scheduled at their earliest possible times to provide participants a time to check-in when interested. maschaf@sandia.gov
	Slides THMPL01 [1.367 MB]
	Poster THMPL01 [2.878 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THMPL01
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THPHA030	Online Analysis for Anticipated Failure Diagnostics of the CERN Cryogenic Systems	ion, controls, cryogenics, operation	1412
	Ph. Gayet, E. Blanco Viñuela, B. Bradu, R. Cirillo CERN, Geneva, Switzerland
	The cryogenic system is one of the most critical component of the CERN Large Hadron Collider (LHC) and its associated experiments ATLAS and CMS. In the past years, the cryogenic team has improved the maintenance plans, the operation procedures and achieved a very high reliability. However, as the recovery time after failure remains the major issue for the cryogenic availability new developments must take place. A new online diagnostic tool is developed to identify and anticipate failures of cryogenics field equipment, based on the acquired knowledge on dynamic simulation for the cryogenic equipment and on previous data analytic studies. After having identified the most critical components, we will develop their associated models together with the signature of their failure modes. The proposed tools will detect deviation between the actual systems and their model or identify preliminary failure signatures. This information will allow the operation team to take early mitigating actions before the failure occurrence.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA030
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THPHA075	FPGA-based BPM Data Acquisition for LCLS-II	ion, software, cavity, controls	1560
	T. Straumann, S. L. Hoobler, J.J. Olsen, C. Xu, A. Young SLAC, Menlo Park, California, USA
	The LCLS-II facility currently under construction at SLAC will be capable of delivering an electron beam at a rate of up to almost 1MHz. The BPM system (and other diagnostics) are required to acquire time-stamped readings for each individual bunch. The high rate mandates that the processing algorithms as well as data exchange with other high-performance systems such as MPS (machine-protection system) or bunch-length monitors are implemented with FPGA technology. Our BPM-processing firmware builds on top of the SLAC "common-platform" [] and integrates tightly with core services provided by the platform such as timing, data-buffering and communication channels. "The SLAC Common-Platform Firmware for High-Performance Systems"; submission #3014 to ICALEPCS 2017.
	Poster THPHA075 [6.604 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA075
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THPHA096	ALBA Equipment Protection System, Current Status	ion, controls, PLC, TANGO	1599
	A. Rubio, G. Cuní, D. Fernández-Carreiras, S. Rubio-Manrique, N. Serra, J. Villanueva ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
	ALBA is the name of Barcelona's 3GeV Synchrotron Lightsource. In operation since 2012, it currently hosts experiments 24/7 in its 8 beamlines with 3 more in development. The aim of ALBA Equipment Protection System is to avoid damage of hardware by managing sets of permits and interlock signals. The EPS scope covers not only ALBA accelerators and its beamlines but also the accessory laboratories like RF, Optics, Vacuum, etc. It is built on B&R PLCs with CPUs installed in cabinets in ALBA service and experimental areas and a network of remote I/O modules installed in shielded boxes inside the tunnel and other irradiated zones. CPU's and Remote models are interconnected by the X2X field-bus. Signals managed by PLC's include interlocks, temperature readouts, flow-meters, flow-switches, thermo-switches, shutters, pneumatic actuators, fluorescence screens, etc. This paper describes the design and the architecture of the Equipment Protection System, the current status, the tools used by the EPS team and the recent improvements in terms of reaction time and interaction with other systems via Powerlink and fast interlock systems.
	Poster THPHA096 [1.080 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA096
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THPHA128	Applications of Kalman State Estimation in Current Monitor Diagnostic Systems	ion, target, feedback, simulation	1673
	J.O. Hill LANL, Los Alamos, New Mexico, USA
	Funding: Work supported by US Department of Energy under contract DE-AC52-06NA25396. Traditionally, designers of transformer-based beam current monitor diagnostic systems are constrained by fundamental trade-offs when reducing distortion in time-domain beam-pulse facsimile waveforms while also attempting to preserve information in the frequency-domain. When modelling the sensor system with a net-work of linear time-invariant passive components, and a state-based representation based on first-order differential equations, we identify two internal dynamical states isolated from each other by the parasitic resistance in the transformer windings. They are the parasitic capacitance voltage across the transformer's windings, and the transformer inductor current. These states are typically imperfectly observed due to noise, component value variance, and sensor component network topology. We will discuss how feedback-based Kalman State Estimation implemented within digital signal-processing might be employed to reduce negative impacts of noise along with component variance, and how Kalman Estimation might also optimize the conflicting goals of beam-pulse facsimile waveform fidelity together with preservation of fre-quency domain information.
	Poster THPHA128 [1.757 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA128
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THPHA129	Automated Contols for the Hard X-Ray Split & Delay System at the Linac Coherent Light Source	ion, alignment, controls, operation	1678
	A.P. Rashed Ahmed, M.C. Browne, D.L. Flath, K. Gumerlock, T.K. Johnson, L. Lee, Z.L. Lentz, T.F. Rendahl, H.S. Shi, H.H. Slepicka, Y. Sun, T.A. Wallace, D. Zhu SLAC, Menlo Park, California, USA
	Funding: Work supported by the U.S. Department of Energy under contract number DE-AC02-76SF00515. The hard x-ray split and delay (HXRSnD) system at the Linear Coherent Light Source (LCLS) was designed to allow for experiments requiring two-pulse based x-ray photon correlation spectroscopy. The system consists of eight silicon crystals split between two optical branches, with over 30 degrees of freedom. To maintain system stability and safety while easing system operation, we expand the LCLS Skywalker software suite to provide a python-based automation scheme that handles alignment, operations and engineer notification. Core safety systems such as collision avoidance are processed at the controller and Experimental Physics and Industrial Control System (EPICS) layer. Higher level functionality is implemented using a stack of open-source python packages (ophyd, bluesky, transitions) which provide a comprehensive and robust operational environment consisting of virtual motors, plans and finite state machines (FSM).
	Poster THPHA129 [0.831 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA129
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THSH203	Internet of Things (IoT): Wireless Diagnostics Solutions	ion, controls, TANGO, hardware	1975
	R. Homs-Puron, S. Astorga, G. Cuní, D. Fernández-Carreiras, O. Matilla, A. Rubio ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain R. Montaño ESS, Lund, Sweden
	ALBA requires a diagnostic system, where mainly include the temperature acquisition around the facility, such as tunnel, service area, experimental area, laboratories and auxiliary facilities. There is a big area to be covered and the location of the sensors may not be fixed, those measurement spots require a strong correlation to the machine startup configuration. This has an impact on the size whether a traditional wired installation is used, due the huge of measurement points to be covered; in addition, the restricted machine access schedule makes difficult their installation. In this paper we intend to describe one solution based on ESP8266 system-on-a-chip (SoC).
	Poster THSH203 [0.865 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THSH203
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Paper

Title

Other Keywords

Page

MOAPL03

Status of the National Ignition Facility (NIF) Integrated Computer Control and Information Systems

ion, controls, target, operation

14

G.K. Brunton, Y.W. Abed, M.A. Fedorov, B.T. Fishler, D.W. Larson, A.P. Ludwigsen, D.G. Mathisen, V.J. Miller Kamm, M. Paul, R.K. Reed, D.E. Speck, E.A. Stout, S.L. Townsend, B.M. Van Wonterghem, S. Weaver, E.F. Wilson
LLNL, Livermore, California, USA

Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344
The National Ignition Facility (NIF) is the world's largest and most energetic laser experimental facility with 192 beams capable of delivering 1.8 megajoules of 500-terawatt ultraviolet laser energy to a target. The energy, temperatures and pressures capable of being generated on the NIF allow scientists the ability to generate conditions similar to the center of the sun and explore the physics of planetary interiors, supernovae, black holes and thermonuclear burn. This year concludes a very successful multi-year plan of optimizations to the control & information systems and operational processes to increase the quantity of experimental target shots conducted in the facility. In addition, many new system control and diagnostic capabilities have been commissioned for operational use to maximize the scientific value produced. With NIF expecting to be operational for greater than 20 years focus has also been placed on optimizing the software processes to improve the sustainability of the control system. This talk will report on the current status of each of these areas in support of the wide variety of experiments being conducted in the facility.
Release No.: LLNL-ABS-727237-DRAFT

Talk as video stream: https://youtu.be/u6HehUp9-Ms

Slides MOAPL03 [1.354 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-MOAPL03

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MOCPL02

Experiences with Laser Survey Instrument Based Approach to National Ignition Facility Diagnostic Alignments

ion, alignment, target, laser

52

E.F. Wilson, M.A. Fedorov, J.R. Hoffman, W.A. Howes, M.J. Lewis, C.L.M. Martinez-Nieves, V. Pacheu, N. Shingleton
LLNL, Livermore, California, USA

Funding: This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.
The National Ignition Facility (NIF) uses powerful lasers to compress targets, to study high energy density physics. Sophisticated diagnostics are placed close to the targets to record the results of each shot. The placement of these diagnostics relative to the target is critical to the mission, with alignment tolerances on the order of 500 microns. The integration of commercial laser-based survey instruments into the NIF control system has improved diagnostic alignment in many ways. The Advanced Tracking Laser Alignment System (ATLAS) project incorporates commercial Faro laser tracker instruments into the diagnostic factory and the target chamber, improving alignment accuracy over prior systems. The system uses multiple retroreflectors mounted on each of the diagnostic positioners to translate to a 6D position in the NIF target chamber volume. This enables a closed loop alignment process to align each diagnostic. This paper provides an overview of how the laser tracker is used in diagnostic alignment, and discusses challenges met by the control system to achieve this integration.

Talk as video stream: https://youtu.be/AIK4GBUOmCw

Slides MOCPL02 [278.247 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-MOCPL02

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TUMPL05

Strategies for Migrating to a New Experiment Setup Tool at the National Ignition Facility

ion, experiment, interface, target

311

A.D. Casey, R.G. Beeler, C.D. Fry, J. Mauvais, E.R. Pernice, M. Shor, J.L. Spears, D.E. Speck, S.L. West
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.
For the last 10 years, the National Ignition Facility (NIF) has provided scientists with an application, the Campaign Management Tool (CMT), to define the parameters needed to achieve their experimental goals. Conceived to support the commissioning of the NIF, CMT allows users to define over 18,000 settings. As NIF has transitioned to an operational facility, the low-level focus of CMT is no longer required by most users and makes setting up experiments unnecessarily complicated. At the same time, requirements have evolved as operations has identified new functionality required to achieve higher shot execution rates. Technology has also changed since CMT was developed, with the availability of the internet and web-based tools being two of the biggest changes. To address these requirements while adding new laser and diagnostic capabilities, NIF has begun to replace CMT with the Shot Setup Tool (SST). This poses challenges in terms of software development and deployment as the introduction of the new tool must be done with minimal interruption to ongoing operations. The development process, transition strategies and technologies chosen to migrate from CMT to SST will be presented.
LLNL-ABS-728212

Slides TUMPL05 [1.871 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUMPL05

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TUPHA040

Development of Real-Time Data Publish and Subscribe System Based on Fast RTPS for Image Data Transmission

ion, real-time, network, experiment

473

G.I. Kwon, J.S. Hong, T.G. Lee, W.R. Lee, J.S. Park, T.H. Tak
NFRI, Republic of Korea

Funding: This work was supported by the Korean Ministry of Science ICT & Future Planning under the KSTAR project.
In fusion experiment, real-time network is essential to control plasma real-time network used to transfer the diagnostic data from diagnostic device and command data from PCS(Plasma Control System). Among the data, transmitting image data from diagnostic system to other system in real-time is difficult than other type of data. Because, image has larger data size than other type of data. To transmit the images, it need to have high throughput and best-effort property. And To transmit the data in real-time manner, the network need to has low-latency. RTPS(Real Time Publish Subscribe) is reliable and has Quality of Service properties to enable best effort protocol. In this paper, eProsima Fast RTPS was used to implement RTPS based real-time network. Fast RTPS has low latency, high throughput and enable to best-effort and reliable publish and subscribe communication for real-time application via standard Ethernet network. This paper evaluates Fast RTPS about suitability to real-time image data transmission system. To evaluate performance of Fast RTPS base system, Publisher system publish image data and multi subscriber system subscribe image data.
* giilkwon@nfri.re.kr, Control team, National Fusion Research Institute, Daejeon, South Korea

Poster TUPHA040 [8.164 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA040

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TUPHA080

New Data Acquisition System Implemented Based on MTCA.4 Form Factor for KSTAR Diagnostic System

ion, controls, site, real-time

593

T.G. Lee, J.S. Hong, G.I. Kwon, W.R. Lee, T.H. Tak
NFRI, Daejon, Republic of Korea

In Korea Superconducting Tokamak Advanced Research (KSTAR), various diagnostics systems were operated from the first plasma in 2008. Many diagnostic devices have been installed for measuring the various plasma properties such as plasma current, magnetic current, electron density, electron temperature, impurity, and so on. The DAQ system for measuring the various plasma properties were developed with various form factor digitizer such as VME, CPCI, PXI, VXI. and PCIe. These complicated form factors installed on KSTAR have difficulties with hardware management, software management and performance upgrades. In order to control real-time systems using several diagnostic signals, the real-time control system is required to share the data without delay between the diagnostic measurement system and the real-time control system without branch one signal. Therefore, we developed the Multifunction Control Unit (KMCU) as the standard control system MTCA.4 form-factor and implemented the various diagnostic DAQ system using KMCU V2, that is KMCU-Z30. This paper will present the implementation of KSTAR diagnostic DAQ systems configured with KMCU based on MTCA.4 and their operating results.

Poster TUPHA080 [1.779 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUPHA080

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THMPL01

A Simple Temporal Network for Coordination of Emergent Knowledge Processes in a Collaborative System-of-Systems

ion, experiment, operation, network

1252

M.A. Schaffner
Sandia National Laboratories, Albuquerque, New Mexico, USA

Funding: U.S. Department of Energy's National Nuclear Security Administration, DE-NA0003525
The Z Machine is the world's largest pulsed power machine, routinely delivering over 20 MA of electrical current to targets in support of US nuclear stockpile stewardship and in pursuit of inertial confinement fusion. The large-scale, multi-disciplinary nature of experiments ('shots') on the Z Machine requires resources and expertise from disparate organizations with independent functions and management, forming a Collaborative System-of-Systems. This structure, combined with the Emergent Knowledge Processes central to preparation and execution, creates significant challenges in planning and coordinating required activities leading up to a given experiment. The present work demonstrates an approach to scheduling planned activities on shot day to aid in coordinating workers among these different groups, using minimal information about activities' temporal relationships to form a Simple Temporal Network (STN). Historical data is mined, allowing a standard STN to be created for common activities, with the lower bounds between those activities defined. Activities are then scheduled at their earliest possible times to provide participants a time to check-in when interested.
maschaf@sandia.gov

Slides THMPL01 [1.367 MB]

Poster THMPL01 [2.878 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THMPL01

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THPHA030

Online Analysis for Anticipated Failure Diagnostics of the CERN Cryogenic Systems

ion, controls, cryogenics, operation

1412

Ph. Gayet, E. Blanco Viñuela, B. Bradu, R. Cirillo
CERN, Geneva, Switzerland

The cryogenic system is one of the most critical component of the CERN Large Hadron Collider (LHC) and its associated experiments ATLAS and CMS. In the past years, the cryogenic team has improved the maintenance plans, the operation procedures and achieved a very high reliability. However, as the recovery time after failure remains the major issue for the cryogenic availability new developments must take place. A new online diagnostic tool is developed to identify and anticipate failures of cryogenics field equipment, based on the acquired knowledge on dynamic simulation for the cryogenic equipment and on previous data analytic studies. After having identified the most critical components, we will develop their associated models together with the signature of their failure modes. The proposed tools will detect deviation between the actual systems and their model or identify preliminary failure signatures. This information will allow the operation team to take early mitigating actions before the failure occurrence.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA030

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THPHA075

FPGA-based BPM Data Acquisition for LCLS-II

ion, software, cavity, controls

1560

T. Straumann, S. L. Hoobler, J.J. Olsen, C. Xu, A. Young
SLAC, Menlo Park, California, USA

The LCLS-II facility currently under construction at SLAC will be capable of delivering an electron beam at a rate of up to almost 1MHz. The BPM system (and other diagnostics) are required to acquire time-stamped readings for each individual bunch. The high rate mandates that the processing algorithms as well as data exchange with other high-performance systems such as MPS (machine-protection system) or bunch-length monitors are implemented with FPGA technology. Our BPM-processing firmware builds on top of the SLAC "common-platform" [*] and integrates tightly with core services provided by the platform such as timing, data-buffering and communication channels.
* "The SLAC Common-Platform Firmware for High-Performance Systems"; submission #3014 to ICALEPCS 2017.

Poster THPHA075 [6.604 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA075

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THPHA096

ALBA Equipment Protection System, Current Status

ion, controls, PLC, TANGO

1599

A. Rubio, G. Cuní, D. Fernández-Carreiras, S. Rubio-Manrique, N. Serra, J. Villanueva
ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain

ALBA is the name of Barcelona's 3GeV Synchrotron Lightsource. In operation since 2012, it currently hosts experiments 24/7 in its 8 beamlines with 3 more in development. The aim of ALBA Equipment Protection System is to avoid damage of hardware by managing sets of permits and interlock signals. The EPS scope covers not only ALBA accelerators and its beamlines but also the accessory laboratories like RF, Optics, Vacuum, etc. It is built on B&R PLCs with CPUs installed in cabinets in ALBA service and experimental areas and a network of remote I/O modules installed in shielded boxes inside the tunnel and other irradiated zones. CPU's and Remote models are interconnected by the X2X field-bus. Signals managed by PLC's include interlocks, temperature readouts, flow-meters, flow-switches, thermo-switches, shutters, pneumatic actuators, fluorescence screens, etc. This paper describes the design and the architecture of the Equipment Protection System, the current status, the tools used by the EPS team and the recent improvements in terms of reaction time and interaction with other systems via Powerlink and fast interlock systems.

Poster THPHA096 [1.080 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA096

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THPHA128

Applications of Kalman State Estimation in Current Monitor Diagnostic Systems

ion, target, feedback, simulation

1673

J.O. Hill
LANL, Los Alamos, New Mexico, USA

Funding: Work supported by US Department of Energy under contract DE-AC52-06NA25396.
Traditionally, designers of transformer-based beam current monitor diagnostic systems are constrained by fundamental trade-offs when reducing distortion in time-domain beam-pulse facsimile waveforms while also attempting to preserve information in the frequency-domain. When modelling the sensor system with a net-work of linear time-invariant passive components, and a state-based representation based on first-order differential equations, we identify two internal dynamical states isolated from each other by the parasitic resistance in the transformer windings. They are the parasitic capacitance voltage across the transformer's windings, and the transformer inductor current. These states are typically imperfectly observed due to noise, component value variance, and sensor component network topology. We will discuss how feedback-based Kalman State Estimation implemented within digital signal-processing might be employed to reduce negative impacts of noise along with component variance, and how Kalman Estimation might also optimize the conflicting goals of beam-pulse facsimile waveform fidelity together with preservation of fre-quency domain information.

Poster THPHA128 [1.757 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA128

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THPHA129

Automated Contols for the Hard X-Ray Split & Delay System at the Linac Coherent Light Source

ion, alignment, controls, operation

1678

A.P. Rashed Ahmed, M.C. Browne, D.L. Flath, K. Gumerlock, T.K. Johnson, L. Lee, Z.L. Lentz, T.F. Rendahl, H.S. Shi, H.H. Slepicka, Y. Sun, T.A. Wallace, D. Zhu
SLAC, Menlo Park, California, USA

Funding: Work supported by the U.S. Department of Energy under contract number DE-AC02-76SF00515.
The hard x-ray split and delay (HXRSnD) system at the Linear Coherent Light Source (LCLS) was designed to allow for experiments requiring two-pulse based x-ray photon correlation spectroscopy. The system consists of eight silicon crystals split between two optical branches, with over 30 degrees of freedom. To maintain system stability and safety while easing system operation, we expand the LCLS Skywalker software suite to provide a python-based automation scheme that handles alignment, operations and engineer notification. Core safety systems such as collision avoidance are processed at the controller and Experimental Physics and Industrial Control System (EPICS) layer. Higher level functionality is implemented using a stack of open-source python packages (ophyd, bluesky, transitions) which provide a comprehensive and robust operational environment consisting of virtual motors, plans and finite state machines (FSM).

Poster THPHA129 [0.831 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THPHA129

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THSH203

Internet of Things (IoT): Wireless Diagnostics Solutions

ion, controls, TANGO, hardware

1975

R. Homs-Puron, S. Astorga, G. Cuní, D. Fernández-Carreiras, O. Matilla, A. Rubio
ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
R. Montaño
ESS, Lund, Sweden

ALBA requires a diagnostic system, where mainly include the temperature acquisition around the facility, such as tunnel, service area, experimental area, laboratories and auxiliary facilities. There is a big area to be covered and the location of the sensors may not be fixed, those measurement spots require a strong correlation to the machine startup configuration. This has an impact on the size whether a traditional wired installation is used, due the huge of measurement points to be covered; in addition, the restricted machine access schedule makes difficult their installation. In this paper we intend to describe one solution based on ESP8266 system-on-a-chip (SoC).

Poster THSH203 [0.865 MB]

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reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-THSH203

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