Truth and Traceability in Physics and Metrology

by Michael Grabe

Overview

Metrological data is known to be blurred by the imperfections of the measuring process. For about two centuries, regular or constant errors were not the focal point of experimental activities, only irregular or random errors were. To address this here, Truth and Traceability in Physics and Metrology discusses a new error concept that dispenses with the common practice to randomize unknown systematic errors. Instead, unknown systematic errors are treated as what they are, namely unknown constants. Furthermore, the ideas considered point to a methodology to steadily localize the true values of the measures and, consequently, traceability.

Product Details

ISBN-13:	9781643270951
Publisher:	Morgan & Claypool Publishers
Publication date:	10/05/2018
Series:	IOP Concise Physics
Sold by:	Barnes & Noble
Format:	eBook
Pages:	81
File size:	2 MB

About the Author

Michael Grabe studied physics at the University of Stuttgart and earned his Dr. rer. nat. from the Technical University of Braunschweig, Institute for Physical Chemistry, where he was a research assistant and lecturer in physical chemistry and applied computer science. He now works at the Physikalisch-Technische Bundesanstalt Braunschweig, focusing on legal metrology, computerized interferometric length measurements, procedures for the assessment of measurement uncertainties and adjustment of the fundamental constants of physics.

Dr. Michael Grabe Studied physics at the University of Stuttgart and earned his Dr. rer. nat. degree from the Technical University of Braunschweig, Institute for Physical Chemistry, where he was a research assistant and lecturer for physical chemistry and applied computer science.

He now works at the Physikalisch-Technische Bundesanstalt Braunschweig, focusing on legal metrology, computerized interferometric lengths measurements, procedures for the assessment of measurement uncertainties, and adjustment of fundamental constants of physics.

Lectures and papers concerning the evaluation of measured data can be found on http://www.uncertainty.de.

Table of Contents

Table of Contents: Preface / Acknowledgements / Author biography / 1. Basics of metrology / 2. Some statistics / 3. Measurement uncertainties / 4. Method of least squares / 5. Fitting of straight lines / 6. Features of least squares estimators / 7. Prospects / 8. Epilogue / References and suggested reading