High speed pipelined pattern recognition

C. Fordham, I. Ali, B. Behrens, C. Foudas, A. Goussiou, M. Jaworski, S. Silverstein, W. H. Smith, U. Wisconsin, J. Dawson, D. Krakauer, R. L. Talaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The key component for recognition of interesting physics is the calorimeter. It allows recognition of electrons and muons, which requires pattern recognition algorithms, and the calculation of local energy sum such as transverse energy and missing energy for events; it also calculates energy in subregions of interest and histograms numbers of trigger towers above various energy thresholds. All these calculations and processes are done within the 96ns pipeline architecture.

Original languageEnglish
Title of host publicationIEEE Nuclear Science Symposium & Medical Imaging Conference
PublisherPubl by IEEE
Pages832-834
Number of pages3
Editionpt 2
ISBN (Print)0780314875
Publication statusPublished - 1994
EventProceedings of the 1993 IEEE Nuclear Science Symposium & Medical Imaging Conference - San Francisco, CA, USA
Duration: Oct 30 1993Nov 6 1993

Other

OtherProceedings of the 1993 IEEE Nuclear Science Symposium & Medical Imaging Conference
CitySan Francisco, CA, USA
Period10/30/9311/6/93

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Fordham, C., Ali, I., Behrens, B., Foudas, C., Goussiou, A., Jaworski, M., Silverstein, S., Smith, W. H., Wisconsin, U., Dawson, J., Krakauer, D., & Talaga, R. L. (1994). High speed pipelined pattern recognition. In IEEE Nuclear Science Symposium & Medical Imaging Conference (pt 2 ed., pp. 832-834). Publ by IEEE.