Monte-Carlo-based model for steady-state diffuse reflectance spectroscopy
Monte-Carlo-based model for steady-state diffuse reflectance spectroscopy
复制标题
基于蒙特卡罗的稳态漫反射光谱模型
DOI：
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复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
J. Honerkamp
中科院分区：
文献类型：
--
作者：
R. Walther;T. Roths;M. Bohnert;J. Honerkamp
测定混浊吸收介质的光学特性在研究和工业界引起了越来越多的兴趣。为了根据稳态漫反射测量来估计光学特性，引入了复杂的分析模型。这些基于扩散近似的模型正确地解释了所谓渐近区域中低吸收介质的漫反射率，这意味着远离强源的一些平均自由路径。然而应该注意的是，源越近，介质吸收越强，这些模型的准确性会迅速下降。对于高空间分辨率，即使用小的眼视探头，对渐近区域的限制变得至关重要。这种限制可以通过蒙特卡罗模拟来克服，该模拟不限于低吸收和渐近区域。给定实验设置，即给定入射笔形光束的半径和方向以及收集区域的形状，可以模拟反射率。因此，可以根据蒙特卡罗模拟建立将输入参数（各向异性因子、吸收和散射系数）与漫反射率相关的数值模型。该数值模型的优点是在各向异性因子、吸收量和源距离方面具有很大的有效性，并且可以轻松地使模型适应更复杂的实验设置。
The determination of optical properties of turbid, absorbing media is of increasing interest in both reseach and industry. In order to estimate the optical properties from steady-state diffuse reflectance measurements sophisticaed analytical models have been introduced. These models, which are based on diffusion approximation, properly explain the diffuse reflectance of low absorbing media in the so-called asymptotic region, which means some mean free paths away from strong sources. It should be noted however, the nearer the sourcea nd the stronger the medium absorbs, the accuracy of these models decrease rapidly. For high spatial resolution, i.e. the use of a small oprical probe, the restriction on the asymptotic region becomes crucial. This restriction can be overcome by means of Monte Carlo simulations, which are not confined to low absorption and the asymptotic region. Given an experimental set-up, i.e. given the radius and the direction of the incident pencil beam and the shape of the collection area, the reflectance can be simulated. Thus a numerical model can be established relating the input parameters - anisotrophy factor, absorption and scattering coefficient - to the diffuse reflectance according to the Monte Carlo simulations. The advantages of this numerical model are a large area of validity in respect of anisotrophy factor, amount of absorption and source distance, and the possibility to adapt the model easily to an even more complex experimental set-up.
DOI：
10.1364/josaa.14.000246
发表时间：
1997-01-01
影响因子：
1.9
作者：
Kienle, A;Patterson, MS
通讯作者：
Patterson, MS