STUDY OF A MA16-BASED VERTEX TRIGGER FOR THE CDF EXPERIMENT
R. Odorico ()
Additional contact information
R. Odorico: University of Bologna, Physics Department, INFN, Sezione di Bologna, Via Irnerio 46, I-40126 Bologna, Italy
International Journal of Modern Physics C (IJMPC), 1995, vol. 06, issue 05, 681-692
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.
Date: 1995
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183195000575
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:06:y:1995:i:05:n:s0129183195000575
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0129183195000575
Access Statistics for this article
International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann
More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().