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MOB3O02 |
NSLS II Project, Development, and Commissioning Results |
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- L.R. Dalesio, G. Carcassi, M.A. Davidsaver, J.H. De Long, K.M. Ha, W.K. Lewis, N. Malitsky, K. Shroff, Y. Tian, L. Yang
BNL, Upton, Long Island, New York, USA
- G. Shen
FRIB, East Lansing, Michigan, USA
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The NSLS II project started control system development in 2007 and completed commissioning in 2015. New hardware, tools, and applications were developed throughout the project to meet the project goals. Significant developments included the fast orbit feedback system, service based physics applications, relational database tools, and an integrated operator environment Control System Studio (CSS). This paper will discuss the results of the developments that were undertaken and their use for the accelerator and beam lines, commissioning results, and lessons learned along the way.
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Slides MOB3O02 [2.265 MB]
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| MOC3O05 |
NSLS-II Fast Orbit Feedback System |
34 |
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- Y. Tian, W.X. Cheng, L.R. Dalesio, J.H. De Long, K. Ha, L. Yu
BNL, Upton, Long Island, New York, USA
- W.S. Levine
UMD, College Park, Maryland, USA
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This paper presents the NSLS-II fast orbit feedback (FOFB) system, including the architecture, the algorithm and the commissioning results. A two-tier communication architecture is used to distribute the 10kHz beam position data (BPM) around the storage ring. The FOFB calculation is carried out in field programmable gate arrays (FPGA). An individual eigenmode compensation algorithm is applied to allow different eigenmodes to have different compensation parameters. The system is used as a regular tool to maintain the beam stability at NSLS-II.
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Slides MOC3O05 [10.295 MB]
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| TUC3O05 |
NSLS-II Active Interlock System for Fast Machine Protection |
554 |
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- K. Ha, W.X. Cheng, L.R. Dalesio, J.H. De Long, Y. Hu, P. Ilinski, J. Mead, D. Padrazo, S. Seletskiy, O. Singh, R.M. Smith, Y. Tian
BNL, Upton, Long Island, New York, USA
- G. Shen
FRIB, East Lansing, Michigan, USA
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Funding: Work supported by DOE contract No: DE-AC02-98CD10886
At National Synchrotron Light Source-II (NSLS-II), a field-programmable gate array (FPGA) based global active interlock system (AIS) has been commissioned and used for beam operations. The main propose of AIS is to protect insertion devices (ID) and vacuum chambers from the thermal damage of high density synchrotron radiation power. This report describes the status of AIS hardware, software architectures and operation experience.
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Slides TUC3O05 [21.152 MB]
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| WEA3O02 |
Recent Advancements and Deployments of EPICS Version 4 |
589 |
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- G.R. White, M.V. Shankar
SLAC, Menlo Park, California, USA
- A. Arkilic, L.R. Dalesio, M.A. Davidsaver, M.R. Kraimer, N. Malitsky, B.S. Martins
BNL, Upton, Long Island, New York, USA
- S.M. Hartman, K.-U. Kasemir
ORNL, Oak Ridge, Tennessee, USA
- D.G. Hickin
DLS, Oxfordshire, United Kingdom
- A.N. Johnson, S. Veseli
ANL, Argonne, Ilinois, USA
- T. Korhonen
ESS, Lund, Sweden
- R. Lange
ITER Organization, St. Paul lez Durance, France
- M. Sekoranja
Cosylab, Ljubljana, Slovenia
- G. Shen
FRIB, East Lansing, Michigan, USA
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EPICS version 4 is a set of software modules that add to the base of the EPICS toolkit for advanced control systems. Version 4 adds the possibility of process variable values of structured data, an introspection interface for dynamic typing plus some standard types, high-performance streaming, and a new front-end processing database for managing complex data I/O. A synchronous RPC-style facility has also been added so that the EPICS environment supports service-oriented architecture. We introduce EPICS and the new features of version 4. Then we describe selected deployments, particularly for high-throughput experiment data transport, experiment data management, beam dynamics and infrastructure data.
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Slides WEA3O02 [2.413 MB]
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| WED3O02 |
Databroker: An Interface for NSLS-II Data Management System |
645 |
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- A. Arkilic, D.B. Allan, D. Chabot, L.R. Dalesio, W.K. Lewis
BNL, Upton, Long Island, New York, USA
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Funding: Brookhaven National Lab, U.S. Department of Energy
A typical experiment involves not only the raw data from a detector, but also requires additional data from the beamline. This information is largely kept separated and manipulated individually, to date. A much more effective approach is to integrate these different data sources, and make these easily accessible to data analysis clients. NSLS-II data flow system contains multiple backends with varying data types. Leveraging the features of these (metadatastore, filestore, channel archiver, and Olog), this library provides users with the ability to access experimental data. This service acts as a single interface for time series, data attribute, frame data access and other experiment related information.
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Slides WED3O02 [2.944 MB]
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| WEPGF043 |
Metadatastore: A Primary Data Store for NSLS-2 Beamlines |
794 |
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- A. Arkilic, D.B. Allan, T.A. Caswell, L.R. Dalesio, W.K. Lewis
BNL, Upton, Long Island, New York, USA
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Funding: Department of Energy, Brookhaven National Lab
The beamlines at NSLS-II are among the highest instrumented, and controlled of any worldwide. Each beamline can produce unstructured data sets in various formats. This data should be made available for data analysis and processing for beamline scientists and users. Various data flow systems are in place in numerous synchrotrons, however these are very domain specific and cannot handle such unstructured data. We have developed a data flow service, metadatastore, that manages experimental data in NSLS-II beamlines. This service enables data analysis and visualization clients to access this service either directly or via databroker api in a consistent and partition tolerant fashion, providing a reliable and easy to use interface to our state-of-the-art beamlines.
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| WEPGF044 |
Filestore: A File Management Tool for NSLS-II Beamlines |
796 |
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- A. Arkilic, T.A. Caswell, D. Chabot, L.R. Dalesio, W.K. Lewis
BNL, Upton, Long Island, New York, USA
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Funding: Brookhaven National Lab, Departmet of Energy
NSLS-II beamlines can generate 72,000 data sets per day resulting in over 2 M data sets in one year. The large amount of data files generated by our beamlines poses a massive file management challenge. In response to this challenge, we have developed filestore, as means to provide users with an interface to stored data. By leveraging features of Python and MongoDB, filestore can store information regarding the location of a file, access and open the file, retrieve a given piece of data in that file, and provide users with a token, a unique identifier allowing them to retrieve each piece of data. Filestore does not interfere with the file source or the storage method and supports any file format, making data within files available for NSLS-II data analysis environment.
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Poster WEPGF044 [0.854 MB]
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