Evaluating uncertainty of some radiation measurand using Monte Carlo method
Main Article Content
Abstract
Evaluating measurement uncertainty of a physical quantity is a mandatory requirement for laboratories within the recognition ISO/IEC 17025 certification to access reliability of measured results. In this work, the uncertainty of ionizing radiation measurements such as air-kerma, personal dose equivalent Hp(d) was evaluated based on GUM method and Monte Carlo method. An uncertainty propagation software has been developed for evaluation of the measurement uncertainty more convenient.
Article Details
Keywords
Uncertainty measurement, Monte Carlo method
References
[1]. ISO 17025:2005, General requirements for the competence of testing and calibration laboratories.
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[2]. Evaluation of measurement data – Guide to the expression of uncertainty in measurement, JCGM 100:2008, 2008.
[3]. Revision of the Guide to Expression of Uncertainty in Measurement, Walter Bich et al, Metrologia, 49, 2012.
[4]. NPL report MS6 - Software support for metrology – Uncertainty evaluation, M G Cox and P M Harris, National Physical Laboratory, march 2010.
[5]. On a Monte Carlo method for measurement uncertainty evaluation and its implementation, P M Harris and M G Cox, Metrologia 51, 2014.
[6]. Uncertainty analysis of phase and amplitude of harmonic components of bearing inner ring four-point roundness measurement, Raine Viitala et al, Precision Engineering, 2018.
[7]. Estimation of uncertainty of effective area of a pneumatic pressure reference standard using Monte Carlo method, Singh et al, Indian Journal of Pure & Applied Physics, 2016.
[8]. A Guide on Measurement Uncertainty in Medical Testing, Technical Guide 4, the Singapore Accreditation Council, 2013.
[9]. Calibration of radiation protection and monitoring instrument, IAEA safety report series No.16, 2000.
[10]. Evaluation of measurement data – Supplement 1 to the "Guide to the expression of uncertainty in measurement" – Propagation of distributions using a Monte Carlo method, JCGM 101:2008, 2008.