A new approach to automatic radiation spectrum analysis

Journal Article · Thu Aug 01 00:00:00 EDT 1991 · IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/23.83860· OSTI ID:5770077

Olmos, P; Diaz, J C; Perez, J M; Aguayo, P; Bru, A; Garcia-Belmonte, G; de Pablos, J L ^[1]; Gomez, P; Rodellar, V ^[2]

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1. CIEMAT, Avda. Complutense 22, 28040 Madrid (ES)
2. Facultad de Informatica, 28660 Boadilla del Monte, Madrid (ES)

In this paper the application of adaptive methods to the solution of the automatic radioisotope identification problem using the energy spectrum is described. The identification is carried out by means of neural networks, which allow the use of relatively reduced computational structures, while keeping high pattern recognition capability. In this context, it has been found that one of these simple structures, once adequately trained, is quite suitable to identify a given isotope present in a mixture of elements as well as the relative proportions of each identified substance. Preliminary results are good enough to consider these adaptive structures as powerful and simple tools in the automatic spectrum analysis.

• OSTI ID: 5770077
• Journal Information: IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States), Vol. 38:4; ISSN 0018-9499
• Country of Publication: United States
• Language: English

Related Subjects

07 ISOTOPES AND RADIATION SOURCES
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
RADIOISOTOPES
DETECTION
AUTOMATION
COMPUTERS
ENERGY SPECTRA
EXPERT SYSTEMS
PATTERN RECOGNITION
ISOTOPES
SPECTRA
070200* - Radiation Sources
990200 - Mathematics & Computers