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Track reconstruction in discrete detectors by neutral networks

Technical Report:

Abstract

On the basis of applying neutral networks to the track recognition problem the investigations are made according to the specific properties of such discrete detectors as multiwire proportional chambers. These investigations result in the modification of the so-called rotor model in a neutral neural network. The energy function of a network in this modification contains only one cost term. This speeds up calculations considerably. The reduction of the energy function is done by the neuron selection with the help of simplegeometrical and energetical criteria. Besides, the cellular automata were applied to preliminary selection of data that made it possible to create an initial network configuration with the energy closer to its global minimum. The algorithm was tested on 10{sup 4} real three-prong events obtained from the ARES-spectrometer. The results are satisfactory including the noise robustness and good resolution of nearby going tracks. 12 refs.; 10 figs.
Publication Date:
Dec 31, 1992
Product Type:
Technical Report
Report Number:
JINR-E-10-92-352
Reference Number:
SCA: 440104; PA: AIX-24:075533; EDB-93:151661; ERA-19:001775; NTS-94:009645; SN: 93001093503
Resource Relation:
Other Information: PBD: 1992
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; DATA PROCESSING; NEURAL NETWORKS; PARTICLE TRACKS; PATTERN RECOGNITION; MULTIWIRE PROPORTIONAL CHAMBERS; ALGORITHMS; DISTRIBUTION; ITERATIVE METHODS; RESPONSE FUNCTIONS; 440104; HIGH ENERGY PHYSICS INSTRUMENTATION
OSTI ID:
10194158
Research Organizations:
Joint Inst. for Nuclear Research, Dubna (Russian Federation). Lab. of Computing Techniques and Automation
Country of Origin:
JINR
Language:
English
Other Identifying Numbers:
Other: ON: DE94606066; TRN: RU9305131075533
Availability:
OSTI; NTIS (US Sales Only); INIS
Submitting Site:
INIS
Size:
12 p.
Announcement Date:

Technical Report:

Citation Formats

Glazov, A A, Kisel`, I V, Konotopskaya, E V, Neskoromnyj, V N, and Ososkov, G A. Track reconstruction in discrete detectors by neutral networks. JINR: N. p., 1992. Web.
Glazov, A A, Kisel`, I V, Konotopskaya, E V, Neskoromnyj, V N, & Ososkov, G A. Track reconstruction in discrete detectors by neutral networks. JINR.
Glazov, A A, Kisel`, I V, Konotopskaya, E V, Neskoromnyj, V N, and Ososkov, G A. 1992. "Track reconstruction in discrete detectors by neutral networks." JINR.
@misc{etde_10194158,
title = {Track reconstruction in discrete detectors by neutral networks}
author = {Glazov, A A, Kisel`, I V, Konotopskaya, E V, Neskoromnyj, V N, and Ososkov, G A}
abstractNote = {On the basis of applying neutral networks to the track recognition problem the investigations are made according to the specific properties of such discrete detectors as multiwire proportional chambers. These investigations result in the modification of the so-called rotor model in a neutral neural network. The energy function of a network in this modification contains only one cost term. This speeds up calculations considerably. The reduction of the energy function is done by the neuron selection with the help of simplegeometrical and energetical criteria. Besides, the cellular automata were applied to preliminary selection of data that made it possible to create an initial network configuration with the energy closer to its global minimum. The algorithm was tested on 10{sup 4} real three-prong events obtained from the ARES-spectrometer. The results are satisfactory including the noise robustness and good resolution of nearby going tracks. 12 refs.; 10 figs.}
place = {JINR}
year = {1992}
month = {Dec}
}