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Monte Carlo Simulation to Determine the Measurement Uncertainty of a Metrological Scanning Probe Microscope Measurement

机译:蒙特卡罗模拟确定计量扫描探针显微镜测量的测量不确定度

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A proprietary metrological scanning probe microscope (SPM) with an interferometer, developed by the Institute of Process Measurement and Sensor Technology at the Ilmenau University of Technology (IPMS), is used as a stationary probe system in the nanomeasuring and nanopositioning machine (NPMM). Due to the movements of the NPMM, the total microscope measuring range is 25mm × 25mm × 5mm with a positioning resolution of less than 0.1nm. Examples for specimens are step height standards and one-dimensional gratings. The repeatability has been determined at less than 0.5nm for measurements on calibrated step height standards and less than 0.2nm for the gratings. The measurement results of these samples are always directly related to the corresponding measurement uncertainty, which can be calculated using an uncertainty budget. A new traceable method has been developed using a vectorial modular model. With this approach, it is possible to quickly insert new sub-models and to individually analyze their effects on the total measurement uncertainty. The analysis of these effects with regard to their uncertainties is done by Monte Carlo Simulation (MCS), because some models have partially or fully nonlinear character of which one example is the interferometer model of the metrological SPM. The complete development and analysis of these models is presented for one specific measurement task. The measurement results and the corresponding measurement uncertainty were obtained by Monte Carlo Simulation. Comparisons with the GUM have shown that the proposed procedure is a good alternative to achieve reasonable measurement results with uncertainty estimation.
机译:由伊尔默瑙工业大学(IPMS)的过程测量与传感器技术研究所(IPMS)开发的带有干涉仪的专有计量扫描探针显微镜(SPM)被用作纳米测量和纳米定位机(NPMM)中的固定探针系统。由于NPMM的移动,显微镜的总测量范围为25mm×25mm×5mm,定位分辨率小于0.1nm。样品的示例是台阶高度标准和一维光栅。对于校准的台阶高度标准,测量的重复性小于0.5nm,而光栅的重复性小于0.2nm。这些样品的测量结果始终直接与相应的测量不确定度相关,可以使用不确定度预算来计算。已经使用矢量模块化模型开发了一种新的可追踪方法。使用这种方法,可以快速插入新的子模型并单独分析它们对总测量不确定度的影响。关于这些影响的不确定性的分析由蒙特卡洛模拟(MCS)完成,因为某些模型具有部分或完全非线性的特征,其中一个例子就是计量SPM的干涉仪模型。这些模型的完整开发和分析针对一项特定的测量任务进行了介绍。测量结果和相应的测量不确定度通过蒙特卡洛模拟获得。与GUM的比较表明,所提出的程序是通过不确定性估计获得合理测量结果的良好选择。

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