Random laser scattering pulse signal analysis in laser particle counter with lognormal distribution

Zhengang Yan; Weiping Sun; Keding Yan; Jie Li; Hongpeng Lv; Xijing Zhang; Liang Xue; Shouyu Wang

doi:10.1117/12.2071057

13 November 2014 Random laser scattering pulse signal analysis in laser particle counter with lognormal distribution

Zhengang Yan, Weiping Sun, Keding Yan, Jie Li, Hongpeng Lv, Xijing Zhang, Liang Xue, Shouyu Wang

Proceedings Volume 9279, Real-time Photonic Measurements, Data Management, and Processing; 927912 (2014) https://doi.org/10.1117/12.2071057
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

The statistical distribution of natural phenomena is of great significance in studying the laws of nature. Here, in this paper, based on laser scattering particle counter, a simple random pulse signal generating and testing system is designed for studying the counting distributions of three typical objects including particles suspended in the air, standard particles, and background noises. Moreover, in order to have a deep understanding of the experimental results from laser scattering particle counter, a random process model is also proposed theoretically to study the random law of measured results. Both normal and lognormal distribution fittings are applied to analyze the experimental results, and we have proved that statistical amplitude and width distributions of particles suspended in the air, standard particles, and background noise match well with lognormal distribution when natural numbers are used as the variables. This study is an important reference for statistical data processing for laser scattering particle counter, moreover, it will also be a useful guide for designing laser scattering particle counter with high accuracy and processing speed.

Citation Download Citation

Zhengang Yan, Weiping Sun, Keding Yan, Jie Li, Hongpeng Lv, Xijing Zhang, Liang Xue, and Shouyu Wang "Random laser scattering pulse signal analysis in laser particle counter with lognormal distribution", Proc. SPIE 9279, Real-time Photonic Measurements, Data Management, and Processing, 927912 (13 November 2014); https://doi.org/10.1117/12.2071057

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