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

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IEEE Nuclear Science Symposium & Medical Imaging Conference
Publisher	Publ by IEEE
Pages	832-834
Number of pages	3
Edition	pt 2
ISBN (Print)	0780314875
Publication status	Published - 1994
Externally published	Yes
Event	Proceedings of the 1993 IEEE Nuclear Science Symposium & Medical Imaging Conference - San Francisco, CA, USA Duration: Oct 30 1993 → Nov 6 1993

Publication series

Name	IEEE Nuclear Science Symposium & Medical Imaging Conference
Number	pt 2

Other

Other	Proceedings of the 1993 IEEE Nuclear Science Symposium & Medical Imaging Conference
City	San Francisco, CA, USA
Period	10/30/93 → 11/6/93

ASJC Scopus subject areas

Radiation
Nuclear and High Energy Physics
Radiology Nuclear Medicine and imaging

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). (IEEE Nuclear Science Symposium & Medical Imaging Conference; No. pt 2). Publ by IEEE.

Fordham, C, Ali, I, Behrens, B, Foudas, C, Goussiou, A, Jaworski, M, Silverstein, S, Smith, WH, Wisconsin, U, Dawson, J, Krakauer, D & Talaga, RL 1994, High speed pipelined pattern recognition. in IEEE Nuclear Science Symposium & Medical Imaging Conference. pt 2 edn, IEEE Nuclear Science Symposium & Medical Imaging Conference, no. pt 2, Publ by IEEE, pp. 832-834, Proceedings of the 1993 IEEE Nuclear Science Symposium & Medical Imaging Conference, San Francisco, CA, USA, 10/30/93.

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

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language = "English",

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series = "IEEE Nuclear Science Symposium & Medical Imaging Conference",

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AU - Ali, I.

AU - Behrens, B.

AU - Foudas, C.

AU - Goussiou, A.

AU - Jaworski, M.

AU - Silverstein, S.

AU - Smith, W. H.

AU - Wisconsin, U.

AU - Dawson, J.

AU - Krakauer, D.

AU - Talaga, R. L.

PY - 1994

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AB - 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.

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ER -

High speed pipelined pattern recognition

Abstract

Publication series

Other

ASJC Scopus subject areas

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