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Published in: Measurement Techniques 5/2023

14-09-2023

Characteristics of the Calibration Coefficient While Transmitting Unit Average Laser Power

Authors: S. A. Moskalyuk, A. M. Raitsin, M. V. Ulanovskii

Published in: Measurement Techniques | Issue 5/2023

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Abstract

This study uses a serial information transmission scheme to discuss the issues faced in transmitting unit average power of laser radiation from a reference converter of the corresponding standard to a control measuring converter. A large difference in the time constants of these converters leads to increased measurement error. To reduce this error, herein, an algorithm is proposed based on averaging the results of multiple measurements while determining the main transmission parameter of unit average power (calibration coefficient). The statistical characteristics of the estimation of the calibration coefficient are analyzed herein. In the model based on measuring transducers having lumped parameters of the first order, relationships that characterize the influence of a correlated stationary-fluctuation component related to the instability in laser radiation power are obtained to determine the calibration coefficient while averaging the results of multiple measurements. In this case, the median of the distribution of its estimate should be used as the calibration coefficient because the median is unbiased and consistent. Equations are obtained to determine the error in estimating the calibration coefficient, and dependencies are presented that enable setting the required measurement averaging time and number of readings of the measured signals. Using the proposed algorithm improves the metrological characteristics of GET 28-2016, the state primary standard of the unit of average laser radiation.

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Metadata
Title
Characteristics of the Calibration Coefficient While Transmitting Unit Average Laser Power
Authors
S. A. Moskalyuk
A. M. Raitsin
M. V. Ulanovskii
Publication date
14-09-2023
Publisher
Springer US
Published in
Measurement Techniques / Issue 5/2023
Print ISSN: 0543-1972
Electronic ISSN: 1573-8906
DOI
https://doi.org/10.1007/s11018-023-02230-9

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