Radiation protection instrumentation - Determination of uncertainty in measurement

IEC TR 62461:2015(E) gives guidelines for the application of the uncertainty analysis according to ISO/IEC Guide 98-3:2008 and its Supplement 1:2008 for measurements covered by standards in the field of radiation protection instrumentation. It does not include the uncertainty associated with the concept of the measuring quantity. This Technical Report explains the principles of the ISO/IEC Guide 98-3:2008 (GUM), its Supplement 1:2008 (GUM S1) and the special considerations necessary for radiation protection at an example taken from individual dosimetry of external radiation. This Technical Report is intended to assist the understanding of the ISO/IEC Guide 98-3:2008 (GUM), its Supplement 1: 2008 (GUM S1). The main changes with respect to the previous edition are as follows:
- add to the analytical method for the determination of uncertainty the Monte Carlo method for the determination of uncertainty according to supplement 1 of the Guide to the Expression of uncertainty in measurement (GUM S1), and
- add a very simple method to judge whether a measured result is significantly different from zero based on ISO 11929.

General Information

Status
Published
Publication Date
22-Jan-2015
Current Stage
PPUB - Publication issued
Start Date
30-Apr-2015
Completion Date
23-Jan-2015
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IEC TR 62461
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Edition 2.0 2015-01
TECHNICAL
REPORT

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Radiation protection instrumentation – Determination of uncertainty in
measurement

IEC TR 62461:2015-01(en)

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IEC TR 62461

®


Edition 2.0 2015-01




TECHNICAL



REPORT








colour

inside










Radiation protection instrumentation – Determination of uncertainty in

measurement



























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– 2 – IEC TR 62461:2015 © IEC 2015
CONTENTS
FOREWORD . 5
INTRODUCTION . 7
1 Scope . 8
2 Normative references . 8
3 Terms and definitions . 9
4 List of symbols . 12
5 The GUM and the GUM S1 concept . 14
5.1 General concept of uncertainty determination . 14
5.1.1 Overview in four steps . 14
5.1.2 Summary of the analytical method for steps 3 and 4 . 15
5.1.3 Summary of the Monte Carlo method for steps 3 and 4 .
...

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