Title :
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
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;
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
DOI :
10.1109/NSSMIC.1992.301446
