A universal postprocessing toolkit for accelerator simulation and data analysis.

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The Self-Describing Data Sets (SDDS) toolkit comprises about 70 generally-applicable programs sharing a common data protocol. At the Advanced Photon Source (APS), SDDS performs the vast majority of operational data collection and processing, most data display functions, and many control functions. In addition, a number of accelerator simulation codes use SDDS for all post-processing and data display. This has three principle advantages: first, simulation codes need not provide customized post-processing tools, thus simplifying development and maintenance. Second, users can enhance code capabilities without changing the code itself, by adding SDDS-based pre- and post-processing. Third, multiple codes can be used together ... continued below

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7 p.

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Borland, M. December 16, 1998.

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Description

The Self-Describing Data Sets (SDDS) toolkit comprises about 70 generally-applicable programs sharing a common data protocol. At the Advanced Photon Source (APS), SDDS performs the vast majority of operational data collection and processing, most data display functions, and many control functions. In addition, a number of accelerator simulation codes use SDDS for all post-processing and data display. This has three principle advantages: first, simulation codes need not provide customized post-processing tools, thus simplifying development and maintenance. Second, users can enhance code capabilities without changing the code itself, by adding SDDS-based pre- and post-processing. Third, multiple codes can be used together more easily, by employing SDDS for data transfer and adaptation. Given its broad applicability, the SDDS file protocol is surprisingly simple, making it quite easy for simulations to generate SDDS-compliant data. This paper discusses the philosophy behind SDDS, contrasting it with some recent trends, and outlines the capabilities of the toolkit. The paper also gives examples of using SDDS for accelerator simulation.

Physical Description

7 p.

Notes

INIS; OSTI as DE00011183

Medium: P; Size: 7 pages

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  • International Computational Accelerator Physics Conference (ICAP '98), Monterey, CA (US), 09/14/1998--09/18/1998

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  • Report No.: ANL/ASD/CP-97992
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 11183
  • Archival Resource Key: ark:/67531/metadc619271

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  • December 16, 1998

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  • June 16, 2015, 7:43 a.m.

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  • April 11, 2017, 3:36 p.m.

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Borland, M. A universal postprocessing toolkit for accelerator simulation and data analysis., article, December 16, 1998; Illinois. (digital.library.unt.edu/ark:/67531/metadc619271/: accessed December 13, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.