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Numerical results of Monte Carlo code in lidar returns considering polarization of light and different phase functions

机译:考虑光的偏振和不同相位函数的激光雷达蒙特卡罗编码的数值结果

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摘要

Monte Carlo m ethod (MCM) is a useful tool to simulate and understand random process in the nature. Many of this process are difficult to solve by means of a nalytic expressions, due we do not know many of its variables involved in the process. The core of MCM is to generate random variables, which repres ent physical variables, through of its p robability d istribution f unction (PDF). Ev ery random physical variab le has a law of probability to obtain a certain value, within a specific interval. Specially, in the data obtained by l idar returns, we got information of the type of scatterer from the radiation backscatter to receiver. This portion of backscatter radiati on is a little part of the function that describes the total scattering in radians. This function is called " phase function " and has a particular way depending on size, refractive index, shape, etc. of the scatterer. In this work we present the numeric al results to consider different phase functions in the simulation of l idar returns, through of MCM.
机译:蒙特卡洛方法(MCM)是模拟和理解自然界随机过程的有用工具。由于我们不知道该过程涉及的许多变量,因此许多过程很难通过解析表达式来解决。 MCM的核心是通过其概率分布功能(PDF)生成代表物理变量的随机变量。每个随机物理变量具有在特定间隔内获得特定值的概率定律。特别地,在ldar的返回数据中,我们得到了从辐射反向散射到接收器的散射体类型信息。反向散射辐射的这一部分只是描述弧度总散射的函数的一小部分。该功能被称为“相位功能”,并具有取决于散射体的尺寸,折射率,形状等的特定方式。在这项工作中,我们提出了数值结果,以考虑通过MCM进行的idar收益的模拟中的不同相位函数。

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