Title of article
Cellular automaton and elastic net for event reconstruction in the NEMO-2 experiment
Author/Authors
Kovalenko، نويسنده , , V، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1997
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 , Tracking , NEURAL NETWORKS
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Serial Year
1997
Journal title
Nuclear Instruments and Methods in Physics Research Section A
Record number
2175304
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