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Testing phase-shifting algorithms for uncertainty evaluation in interferometric gauge block calibration

机译:测试相移算法以进行干涉式量块校准中的不确定性评估

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摘要

This paper describes the uncertainty contribution of nine different phase-shifting algorithms (PSAs) to a gauge block calibration evaluated using a Monte Carlo method. The phase map and its standard deviation, codified in the output distribution obtained with each PSA, are used as input parameters in the exact fractions method for the final calculation of the gauge block length. Results obtained show the behaviour of each PSA versus different types of error sources. Uncertainty evaluation fits well to a Gaussian distribution for all algorithms tested with more than 10~(4) trials and the central limit theorem is satisfied. As expected, the Symmetric 5 + 1 PSA shows the best behaviour with the lower uncertainty contribution and appears among PSAs used as the best algorithm for this technical application. As the selected PSAs are representative for the main PSA families, the protocol employed can be used for any other specifically tailored algorithm.
机译:本文介绍了九种不同相移算法(PSA)对使用蒙特卡洛方法评估的量规校准的不确定性影响。在精确分数法中,将相位图及其标准偏差(已编码在每个PSA获得的输出分布中)用作输入参数,以最终计算量规块的长度。获得的结果显示了每种PSA与不同类型错误源的行为。对于经过10〜(4)次试验测试的所有算法,不确定性评估与高斯分布非常吻合,并且满足中心极限定理。不出所料,Symmetric 5 +1 PSA以较低的不确定性贡献显示出最佳性能,并在PSA中被用作该技术应用的最佳算法。由于所选的PSA代表主要PSA系列,因此所采用的协议可用于任何其他专门定制的算法。

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