STATISTICAL DATA ANALYSIS IN GAMMA AND X-RAY SPECTROMETRY
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Abstract
This paper presents a detailed examination of statistical data analysis methods employed in gamma (γ) and X-ray spectrometry. Emphasis is placed on the application of Gaussian distribution to model the statistical deviations in measurement data. We discuss the derivation of key parameters such as mean and standard deviation from measured quantities, and their significance in ensuring accurate results. Through practical examples and Python code for plotting histograms, the paper demonstrates how statistical analysis can be used to interpret spectrometric data, providing insights into radiation sources and measurement uncertainties.
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References
Agresti, Alan. Categorical Data Analysis. John Wiley & Sons, 2003.
Bain, Lee J., and Max Engelhardt. Introduction to Probability and Mathematical Statistics. Cengage Learning, 2014.
Box, George EP., et al. Time Series Analysis: Forecasting and Control. John Wiley & Sons, 2015.
Casella, George, and Roger L. Berger. Statistical Inference. Duxbury Press, 2002.
Debertin, Klaus. Gamma and X-ray Spectrometry with Semiconductor Detectors. North-Holland Publishing Company, 1988.
Devore, Jay L. Probability and Statistics for Engineering and the Sciences. Cengage Learning, 2015.
Dugard, Paul, and Daniel Toal. Probability and Statistics for Engineering Applications. Elsevier, 2015.
Hoel, Paul G., et al. Introduction to Mathematical Statistics. John Wiley & Sons, 1971.
Loeve, Michel. Probability Theory II: Stochastic Calculus. Springer Science & Business Media, 2012.
Mood, Alexander M., Franklin A. Graybill, and Duane C. Boes. Introduction to the Theory of Statistics. McGraw-Hill Education, 1974.
Ross, Sheldon M. Introduction to Probability Models. Academic Press, 2014.