• 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