A parallel non-neural trigger tracker for the SSC

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The Superconducting Super Collider (SSC) is a major project promising to open the vistas of very high particle physics. When the SSC is in operation, data will be produced at a staggering rate. Current estimates place the raw data coming our of the proposed silicon detector system at 2.5 {times} 10{sup 16} bits/second. Clearly, storing all events for later off-line processing is totally impracticable. A hierarchy of triggers, firing only on events meeting increasingly specific criteria, are planned to cull interesting events from the flood of information. Each event consists of a sequence of isolated hits'', caused by particles hitting ... continued below

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Pages: (7 p)

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Farber, R.M.; Kennison, W. & Lapedes, A.S. January 1, 1991.

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The Superconducting Super Collider (SSC) is a major project promising to open the vistas of very high particle physics. When the SSC is in operation, data will be produced at a staggering rate. Current estimates place the raw data coming our of the proposed silicon detector system at 2.5 {times} 10{sup 16} bits/second. Clearly, storing all events for later off-line processing is totally impracticable. A hierarchy of triggers, firing only on events meeting increasingly specific criteria, are planned to cull interesting events from the flood of information. Each event consists of a sequence of isolated hits'', caused by particles hitting various parts of the detector. Collating these hits into the tracks of the approximately 500 particles/event, and then quickly deciding which events meet the criteria for later processing, is essential if the SSC is to produce usable information. This paper addresses the need for real-time triggering and track reconstruction. A benchmarked and buildable algorithm, operable at the required data rates, is described. The use of neural nets, suggested by other researchers, is specifically avoided as unnecessary and impractical. Instead, a parallel algorithm, and associated hardware architecture using only conventional technology, is presented. The algorithm has been tested on fully scaled up, extensively detailed, simulated SSC events, with extremely encouraging results. Preliminary hardware analysis indicate that the trigger/tracker may be built within proposed SSC budget guidelines. 7 refs., 4 figs.

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Pages: (7 p)

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OSTI; NTIS; INIS; GPO Dep.

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  • 1991 international joint conference on neural networks (IJCNN), Seattle, WA (USA), 8-12 Jul 1991

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  • Other: DE91008594
  • Report No.: LA-UR-91-607
  • Report No.: CONF-910779--5
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 5767845
  • Archival Resource Key: ark:/67531/metadc1102096

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  • January 1, 1991

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  • Feb. 18, 2018, 3:59 p.m.

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  • May 31, 2018, 1:16 p.m.

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Farber, R.M.; Kennison, W. & Lapedes, A.S. A parallel non-neural trigger tracker for the SSC, article, January 1, 1991; New Mexico. (digital.library.unt.edu/ark:/67531/metadc1102096/: accessed December 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.