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Study Of A Ma16-Based Vertex Trigger For The Cdf Experiment

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  • R. ODORICO

    (University of Bologna, Physics Department, INFN, Sezione di Bologna, Via Irnerio 46, I-40126 Bologna, Italy)

Abstract

A Neural Network trigger for$b\bar b$events based on the SVT microvertex processor of experiment CDF at Fermilab is presented. It exploits correlations among track impact parameters and azimuths calculated by the SVT from the SVX microvertex detector data. The neural trigger is meant for implementation on the systolic Siemens microprocessor MA16, which has already been used in a neural-network trigger for experiment WA92 at CERN. A suitable set of input variables is found, which allows a viable solution for the preprocessing task using standard electronic components. The response time of the neural-network stage of the trigger, including preprocessing, can be estimated ~10 μs. Its precise value depends on the quantitative specifications of the output signals of the SVT, which is still in development. The performance of the neural-network trigger is found to be significantly better than that of a conventional trigger exclusively based on impact parameter data.

Suggested Citation

  • R. Odorico, 1995. "Study Of A Ma16-Based Vertex Trigger For The Cdf Experiment," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 6(05), pages 681-692.
    • Handle: RePEc:wsi:ijmpcx:v:06:y:1995:i:05:n:s0129183195000575
    DOI: 10.1142/S0129183195000575
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