Image processing for future high energy physics detectors : proceedings of the 18th Workshop of the INFN Eloisatron Project, Erice, Trapani, Italy 14-18 November 1991
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Bibliographic Information
Image processing for future high energy physics detectors : proceedings of the 18th Workshop of the INFN Eloisatron Project, Erice, Trapani, Italy 14-18 November 1991
（The science and culture series, . Physics）
World Scientific, 1992
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Includes bibliographical references
Description and Table of Contents
Description
This volume stresses the necessity of image processing for future high energy physics detectors (indeed the signals — 1 megabyte of data or more, every 16 nanoseconds — will have 2D-spatial-topology-like images; only the processing/decision rates are much higher). The main issues presented are: new detectors, algorithms for tracking and pattern recognition, dedicated archi-tectures, benchmarking studies on commercially avaliable machines, mixed VLSI technologies, neural networks.
Table of Contents
- Impact of neural networks on triggering, S.R. Amendolia
- image processing for LEP, D. Bertrand
- image processing for intelligent triggering of eloisatron detectors, R.K. Bock
- electronics for near (and far) future high energy physics experiments, F. Bourgeois
- a first level digital buffer with micropipelined data recalibration, selective zero suppression and trigger matching for applications in high data rate experiments, J. Christiansen
- real time track reconstruction algorithms for future detectors, R.M. Farber
- testing scintillating fibers with image analysis systems, A Gheorghe
- detection of the Tau Neutrino using scintillating fibers, K.H. Hiller
- a low-cost high resolution tracking system using a multi-step avalanche chamber, CCD camera and massively parallel processing, M. Izycki
- massive parallelism or the fight against latency, C. Jesshope
- neural networks, expert systems and correlation analyzer for the recognition of hadronic jets, T. Kovacs
- images of spaghettis, M. Lundin
- scintillating fiber trackers for the CHORUS experiment at CERN, C. Mommaert
- photon statistics and quantum limits of measurements, J. Perina
- neural networks for pattern recognition in HEP - some new results, C. Petersen
- an approach to track finding in a second level trigger, D. Sestero
- optoelectronics and lightware systems in the front-ends of future HEP detectors, G. Stefanini
- integrated system solutions for high-speed data processing using mixed technology ASIC structures, A. Wild.
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