Gamma Ray Spectrometer Data Processing Technique to Reduce the Influence of Statistical Fluctuation and Random Noise | Zendy

Krishna Kumar Patel | Zendy; Dipak Kumar | Zendy; Ritesh Patel | Zendy

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Gamma Ray Spectrometer Data Processing Technique to Reduce the Influence of Statistical Fluctuation and Random Noise

Author(s) -

Krishna Kumar Patel,

Dipak Kumar,

Ritesh Patel

Publication year - 2017

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2017913830

Subject(s) - computer science , noise (video) , spectrometer , random noise , algorithm , artificial intelligence , optics , physics , image (mathematics)

The paper introduces smoothing method for gamma ray spectra. Motive of this method is to reduce the influence of statistical fluctuations and the random noise. Because of fluctuation, data prohibit for accurate estimation of composition of sample. In this work we have used the laboratory based data obtained from the Gamma Ray Spectrometer (GRS) developed in our laboratory using different scintillation detector like LaBr3:Ce/CeBr3. The digitized data from the developed GRS instrument are readout to computer through a NI DIO (National Instruments Digital Input/Output) card. Data acquisition system has been developed in LabVIEW to generate the gamma spectrum.

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