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A fast and easy-to-implement inversion algorithm for mobility particle size spectrometers considering particle number size distribution information outside of the detection range

机译:考虑迁移范围之外的粒径分布信息的迁移率粒径谱仪的一种快速且易于实现的算法

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摘要

Multiple-charge inversion is an essential procedure to convert the rawmobility distributions recorded by mobility particle size spectrometers, suchas the DMPS or SMPS (differential or scanning mobility particle sizers), intotrue particle number size distributions. In this work, we present a fast andeasy-to-implement multiple-charge inversion algorithm with sufficientprecision for atmospheric conditions,but extended functionality. Thealgorithm can incorporate size distribution information from sensors thatmeasure beyond the upper sizing limit of the mobility spectrometer, such asan aerodynamic particle sizer (APS) or an optical particle counter (OPC).This feature can considerably improve the multiple-charge inversion result inthe upper size range of the mobility spectrometer, for example, whensubstantial numbers of coarse particles are present. The program also yieldsa continuous size distribution from both sensors as an output. The algorithmis able to calculate the propagation of measurement errors, such as thosebased on counting statistics, into on the final particle number sizedistribution. As an additional aspect, the algorithm can perform allinversion steps under the assumption of non-spherical particle shape,including constant or size-dependent shape factors.
机译:多次电荷反转是将迁移率粒度谱仪(例如DMPS或SMPS(示差或扫描迁移率粒度仪))记录的原始迁移率分布转换为真实粒度数分布的基本过程。在这项工作中,我们提出了一种快速且易于实现的多电荷反演算法,该算法对于大气条件具有足够的精度,但具有扩展的功能。该算法可以合并来自测量超出迁移谱仪尺寸上限的传感器的尺寸分布信息,例如空气动力学粒度仪(APS)或光学粒子计数器(OPC),此功能可以显着改善较高尺寸的多次电荷反转结果例如,当存在大量的粗颗粒时,则在迁移谱仪的最大范围内。该程序还将两个传感器的尺寸连续分布作为输出。该算法能够计算最终基于粒子数大小分布的测量误差(例如基于计数统计的误差)的传播。另一方面,该算法可以在非球形粒子形状的假设下执行所有反演步骤,包括恒定或与尺寸有关的形状因子。

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