DocumentCode
462503
Title
Curved Track Segment Finding Using Tiny Triplet Finder (TTF)
Author
Wu, Jinyuan ; Wang, M. ; Gottschalk, E. ; Shi, Z.
Author_Institution
Fermi Nat. Accelerator Lab., Batavia, IL
Volume
2
fYear
2006
fDate
Oct. 29 2006-Nov. 1 2006
Firstpage
1281
Lastpage
1285
Abstract
We describe the applications of a track segment recognition scheme called the Tiny Triplet Finder (TTF) that involves the grouping of three hits satisfying a constraint forming of a track segment. The TTF was originally developed solving straight track segment finding problem, however, it is also suitable in many curved track segment finding problems. The examples discussed in this document are among popular detector layouts in high-energy/nuclear physics experiments. Although it is not practical to find a universal recipe for arbitrary detector layouts, the method of the TTF application is illustrated via the discussion of the examples. Generally speaking, whenever the data item to be found in a pattern recognition problem contains two free parameters, and if the constraint connecting the measurements and the two free parameters has an approximate shift invariant property, the tiny triplet finder can be used.
Keywords
high energy physics instrumentation computing; particle track visualisation; pattern recognition; radiation detection; TTF application; Tiny Triplet Finder; curved track segment finding; detector layout; pattern recognition; shift invariant property; straight track segment finding; track segment recognition scheme; Detectors; Field programmable gate arrays; Hardware; Joining processes; Logic devices; Microprogramming; Nuclear and plasma sciences; Nuclear physics; Pattern recognition; Target tracking; FPGA Firmware; Pattern Recognition; TTF; Tiny Triplet Finder; Trigger;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2006. IEEE
Conference_Location
San Diego, CA
ISSN
1095-7863
Print_ISBN
1-4244-0560-2
Electronic_ISBN
1095-7863
Type
conf
DOI
10.1109/NSSMIC.2006.356077
Filename
4179231
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