Principal component data processing in radon metrology

• Autorzy: Machaj B. , Urbański P.
• Języki publikacji: EN

Abstrakty

EN

A gauge for the measurement of radon and radon daughters concentration was tested in a radon chamber. Count rate distribution in time at the output of radiation detectors was measured and registered. The count rate distribution in time was then processed employing Principal Component Analysis (PCA) and the Root Mean Square Error (RMSE) of the count rate was investigated. It was found that PCA processing removes great part of count rate random fluctuations originating from radiation statistics, which is resulting in a decrease of the count rate random error and in random error of concentration. The RMSE of radon daughters concentration is about 3 times lower when "raw" results are PCA processed. Such decrease of error, without PCA signal processing, would require 9 times higher air flow through the air filter on which the radon daughters are deposited. In case of the measurements of the radon concentration the drop of the error is 2-3 times higher in case of long counting time.

Słowa kluczowe

EN

principal component regression (PCR); radon daughters measurement; radon measurement

• Wydawca: Institute of Nuclear Chemistry and Technology
• Czasopismo: Nukleonika
• Rocznik: 2002
• Tom: Vol. 47, nr 1
• Strony: 39--42
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Machaj B.

• Institute of Nuclear Chemistry and Technology, Department of Radioisotopes Instruments and Methods, 16 Dorodna Str., 03-195 Warsaw, Poland, Tel.: [phone], Fax: [phone]

autor

Urbański P.

• Institute of Nuclear Chemistry and Technology, Department of Radioisotopes Instruments and Methods, 16 Dorodna Str., 03-195 Warsaw, Poland, Tel.: [phone], Fax: [phone]

Bibliografia

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• 4. Machaj B, Urbanski P (1999) Continuos measurement of radon concentration in the air with Lucas cell by periodic sampling. Nukleonika 44;4:579–594
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• 6. Rencher AC (1996) Multivariate statistical inference and application. John Wiley & Sons, New York
• 7. Wold S, Anti H, Lindgren F, Ohman J (1998) Orthogonal signal correction of near-infrared spectra. Chemometr Intell Lab Syst 44:175–185