Title of article :
Cellular automaton and elastic net for event reconstruction in the NEMO-2 experiment
Author/Authors :
Kovalenko، نويسنده , , V، نويسنده ,
Pages :
4
From page :
169
To page :
172
Abstract :
A cellular automaton for track searching and an elastic net for charged particle trajectory fitting are presented. The advantages of the methods are: simplicity of the algorithms, fast and stable convergence to real tracks, and a reconstruction efficiency close to 100%. Demonstration programs are available at http://nuweb.jinr.dubna.su/LNP/NEMO using a Java enabled browser.
Keywords :
Data analysis , NEURAL NETWORKS , Tracking
Journal title :
Astroparticle Physics
Record number :
2001232
Link To Document :
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