Real-time analysis, visualization, and steering of microtomography experiments at photon sources

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A new generation of specialized scientific instruments called synchrotron light sources allow the imaging of materials at very fine scales. However, in contrast to a traditional microscope, interactive use has not previously been possible because of the large amounts of data generated and the considerable computation required translating this data into a useful image. The authors describe a new software architecture that uses high-speed networks and supercomputers to enable quasi-real-time and hence interactive analysis of synchrotron light source data. This architecture uses technologies provided by the Globus computational grid toolkit to allow dynamic creation of a reconstruction pipeline that transfers ... continued below

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15 p.

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von Laszeski, G.; Insley, J. A.; Foster, I.; Bresnahan, J.; Kesselman, C.; Su, M. et al. February 29, 2000.

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Description

A new generation of specialized scientific instruments called synchrotron light sources allow the imaging of materials at very fine scales. However, in contrast to a traditional microscope, interactive use has not previously been possible because of the large amounts of data generated and the considerable computation required translating this data into a useful image. The authors describe a new software architecture that uses high-speed networks and supercomputers to enable quasi-real-time and hence interactive analysis of synchrotron light source data. This architecture uses technologies provided by the Globus computational grid toolkit to allow dynamic creation of a reconstruction pipeline that transfers data from a synchrotron source beamline to a preprocessing station, next to a parallel reconstruction system, and then to multiple visualization stations. Collaborative analysis tools allow multiple users to control data visualization. As a result, local and remote scientists can see and discuss preliminary results just minutes after data collection starts. The implications for more efficient use of this scarce resource and for more effective science appear tremendous.

Physical Description

15 p.

Notes

INIS; OSTI as DE00752879

Medium: P; Size: 15 pages

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  • 9th SIAM Conference on Parallel Processing for Scientific Computing, San Antonio, TX (US), 03/22/1999--03/24/1999

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  • Report No.: ANL/MCS/CP-101186
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 752879
  • Archival Resource Key: ark:/67531/metadc703979

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • February 29, 2000

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  • Sept. 12, 2015, 6:31 a.m.

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  • April 7, 2017, 3:10 p.m.

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von Laszeski, G.; Insley, J. A.; Foster, I.; Bresnahan, J.; Kesselman, C.; Su, M. et al. Real-time analysis, visualization, and steering of microtomography experiments at photon sources, article, February 29, 2000; Illinois. (digital.library.unt.edu/ark:/67531/metadc703979/: accessed October 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.