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WOAB01 | Operational Tools at the Stanford Linear Accelerator Center | 288 |
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The operational tools at SLAC have been in continuous development for 20 years. These include a highly developed orbit correction package, an automatic bump maker, orbit fitting, lattice diagnostics, beta-matching and phase advance calculator, a macro recording facility, "Correlation Plots," which is a facility for conducting small ad-hoc experiments, plus a number of others. All of these use a global online modeling database system, and they are all integrated into a single interactive application program, so they interoperate seamlessly. In this talk I'll review these tools, and contrast them with systems we have recently developed which focus on support for accelerator physics conducted directly from numerical analysis packages such as Matlab, or from physicists' own small specialized programs. Lastly, our plans to rewrite all of these operational tools using modern software tools and infrastructure, and how we bridge old systems to new, will be presented. | ||
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WOAB02 | CAD Model and Visual Assisted Control System for NIF Target Area Positioners | 293 |
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The National Ignition Facility (NIF) contains precision motion control systems that reach up to 6 meters into the target chamber for handling targets and diagnostics. Systems include the target positioner, an alignment sensor, and diagnostic manipulators. Experiments require a variety of arrangements near chamber center to be aligned to an accuracy of 10 micrometers. These devices are some of the largest in NIF, and they require careful monitoring and control in three dimensions to prevent interferences. Alignment techniques such as viewing target markers and cross-chamber telescopes are employed. Positioner alignment is a human-control process incorporating real-time video feedback on the user interface. The system provides efficient, flexible controls while also coordinating all positioner movements. This is accomplished through advanced video-control integration incorporating remote position sensing and real-time analysis of a CAD model of target chamber devices. This talk discusses the control system design, the method used to integrate existing mechanical CAD models, and the offline test laboratory used to verify proper operation of the integrated control system. | ||
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WOAB03 | Development of Accelerator Management Systems with GIS | 296 |
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We have been developing accelerator management systems for SPring-8 on Geographic Information System (GIS). Those systems are, in short, "Google maps for accelerators". Users enjoy interactive acclerator maps on web browsers with zooming, panning, ruler, image overlay and multi-layer display features. We applied an open-source GIS, MapServer, for the systems. We have build two web-based systems on MapServer. Accelerator inventory management system displays equipment locations on the map reading data from a relational database. It displays not only locations of equipment but also detailed attributes by clicking symbols on the interactive map. Users also can enter their own data or upload their own files from the web browser to store into the database. Another SCSS alarm system desplays real-time alarm locations on the map. The alarm database build on the MADOCA system serves real-time and static data for alarm display. We will show mechanism and development of those systems in the paper. | ||
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WOAB04 | Web-Based Electronic Operation Log System Zlog System | 299 |
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A Zope-based electronic operation logging system, named Zlog system, has been used since January 2004 at the KEKB and PF-AR accelerator facilities at KEK. Zope* is a Web content management system, which is based on several open source software components like Python and Postgresql. It enabled us to develop our Zlog in a short period, because the Zope system includes a development framework for Web application server. Zlog was introduced also to J-PARC/KEK-JAEA and RIBF/RIKEN, based on the experiences at KEKB and PF-AR. Zlog was proved to be quite portable even under different computer architectures. Zlog at KEKB accumulates about 1.5 million event entries so far, and images taken during the operation can be stored and viewed as well with entries. In this paper, we describe the present status and component details of the Zlog system.
* http://www.zope.org/ |
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