A neural network calorimeter trigger used in CDF

Author

Badgett, W. ; Burkett, K. ; Campbell, M. ; Wu, D.Y. ; Denby, B. ; Lindsey, C. ; Blair, R. ; Kuhlmann, S. ; Romano, J.

Author_Institution

Michigan Univ., Ann Arbor, MI, USA

fYear

1992

fDate

25-31 Oct 1992

Firstpage

841

Abstract

The authors describe a pattern recognition electronic trigger, built around an INTEL 80170NX analog neural network chip, supported by 10 full FASTBUS cards and 48 signal tap boards. One of the applications takes advantage of the chip´s parallel processing ability, using it as an analog arithmetic unit, to select isolated particles, based on 50 input signals. Preliminary performance results from data collected at the CDF (Collider Detector at Fermilab) high-energy physics experiment at Fermilab´s proton-antiproton collider are shown

Keywords

calorimeters; neural nets; pattern recognition; physics computing; CDF; Collider Detector at Fermilab; FASTBUS cards; INTEL 80170NX analog neural network chip; analog arithmetic unit; high-energy physics experiment; input signals; isolated particles; neural network calorimeter trigger; parallel processing ability; pattern recognition electronic trigger; proton-antiproton collider; signal tap boards; Arithmetic; Content addressable storage; Detectors; Hardware; Intelligent networks; Neural networks; Poles and towers; Signal processing; Switches; Time of arrival estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference, 1992., Conference Record of the 1992 IEEE

Conference_Location

Orlando, FL

Print_ISBN

0-7803-0884-0

Type

conf

DOI

10.1109/NSSMIC.1992.301446

Filename

301446