Smart x-ray beam position monitor system using artificial intelligence methods for the Advanced Photon Source insertion-device beamlines

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At the Advanced Photon Source (APS), each insertion device (ID) beamline front-end has two XBPMs to monitor the X-ray beam position for both that vertical and horizontal directions. Performance challenges for a conventional photoemission type X-ray beam position monitor (XBPM) during operations are contamination of the signal from the neighboring bending magnet sources and the sensitivity of the XBPM to the insertion device (ID) gap variations. Problems are exacerbated because users change the ID gap during their operations, and hence the percentage level of the contamination in the front end XBPM signals varies. A smart XBPM system with a high ... continued below

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15 p.

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Shu, D.; Ding, H.; Barraza, J.; Kuzay, T.M.; Haeffner, D. & Ramanathan, M. September 1, 1997.

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Description

At the Advanced Photon Source (APS), each insertion device (ID) beamline front-end has two XBPMs to monitor the X-ray beam position for both that vertical and horizontal directions. Performance challenges for a conventional photoemission type X-ray beam position monitor (XBPM) during operations are contamination of the signal from the neighboring bending magnet sources and the sensitivity of the XBPM to the insertion device (ID) gap variations. Problems are exacerbated because users change the ID gap during their operations, and hence the percentage level of the contamination in the front end XBPM signals varies. A smart XBPM system with a high speed digital signal processor has been built at the Advanced Photon Source for the ID beamline front ends. The new version of the software, which uses an artificial intelligence method, provides a self learning and self-calibration capability to the smart XBPM system. The structure of and recent test results with the system are presented in this paper.

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15 p.

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INIS; OSTI as DE97054394

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  • SRI `97: 6. international conference on synchrotron radiation instrumentation, Himeji (Japan), 4-8 Aug 1997

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  • Other: DE97054394
  • Report No.: ANL/XFD/CP--93013
  • Report No.: CONF-970889--
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 634125
  • Archival Resource Key: ark:/67531/metadc690400

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  • September 1, 1997

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  • Aug. 14, 2015, 8:43 a.m.

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  • Nov. 5, 2015, 3:52 p.m.

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Shu, D.; Ding, H.; Barraza, J.; Kuzay, T.M.; Haeffner, D. & Ramanathan, M. Smart x-ray beam position monitor system using artificial intelligence methods for the Advanced Photon Source insertion-device beamlines, article, September 1, 1997; United States. (digital.library.unt.edu/ark:/67531/metadc690400/: accessed October 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.