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- W48280163 abstract "The efficiency of the track reconstruction algorithm depends on the reasonability of a clustering method applied to group measured data points into track candidates. As examples of such reasonable algorithms, one can point out well known methods like variable slope histogramming or stringing methods, as well as relatively new approaches like hopfield neural networks. This chapter proposes an algorithm of track recognition in a uniform magnetic field for the drift straw tube detecting system of solenoidal geometry. The problem solution is given for plane perpendicular to the magnetic field. The chapter's algorithm is elaborated on the basis of sequential histogramming method, that is, modifications of the Hough transform and a modification of deformable template method followed by a special procedure of parameter correction. Being tested on simulated events, the method shows satisfactory efficiency and accuracy in the determination of particle momenta." @default.
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- W48280163 date "1996-01-01" @default.
- W48280163 modified "2023-09-27" @default.
- W48280163 title "Recognition of tracks detected by drift tubes in a magnetic field" @default.
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- W48280163 doi "https://doi.org/10.1016/b978-044482587-2/50023-9" @default.
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