Monte Carlo simulations of light propagation Rconv 5000um source diameter

Rconv files for 5000 um source diameter.Data Background: In order to estimate multiple optical parameters for designing equipment, estimating its performance and/or any performance of procedures using the equipment (e.g., light treatments), Monte Carlo simulations are used to simulate the light propagation within complex media before experiments are performed. CUDAMCML is a GPU-accelerated program that enables simulations at a much faster speeds compared to previous versions such as Monte Carlo Multi-Layered (MCML).How the data was generated: Running CUDAMCML simulations of light propagation in complex media for three-layered media. The manual for CUDAMCML can be found at:https://www.atomic.physics.lu.se/fileadmin/atomfysik/Biophotonics/Software/CUDAMCML.pdfand its code can be found at:https://github.com/ominux/gpumcml/blob/master/CUDAMCML2.1/cudamcml_main.cuMCO files (MCO standing for Monte Carlo Output) had the first row of the fluence matrix is used to calculate the convolved radial reflectance (i.e., Rrc, standing for R(r) convolved, where R(r) is the Radial reflectance).The content of the data file: Each ZIP file contains the output of Monte Carlo Simulations of Light propagation in complex media (i.e., Rrc files). In particular, they Rrc files for 5000 um source diameter.

适用于5000微米光源直径的Rconv文件。
数据背景：为了估算多项光学参数以开展设备设计、性能评估，以及使用该设备的各类流程（例如光疗）的性能评估，研究人员通常会在正式实验前，借助蒙特卡洛（Monte Carlo）模拟来复现复杂介质内的光传播过程。CUDAMCML是一款GPU加速程序，相较于蒙特卡洛多层介质光传输模拟（Monte Carlo Multi-Layered, MCML）等旧版工具，其模拟速度有显著提升。
数据生成方式：本数据集通过针对三层复杂介质开展光传播的CUDAMCML模拟生成。CUDAMCML的使用手册可从以下链接获取：https://www.atomic.physics.lu.se/fileadmin/atomfysik/Biophotonics/Software/CUDAMCML.pdf，其源代码托管于：https://github.com/ominux/gpumcml/blob/master/CUDAMCML2.1/cudamcml_main.cu。
MCO文件（Monte Carlo Output，即蒙特卡洛输出文件）的注量矩阵第一行被用于计算卷积径向反射率（即Rrc，代表R(r)卷积结果，其中R(r)为径向反射率）。
数据集文件说明：每个压缩包均包含复杂介质内光传播蒙特卡洛模拟的输出结果（即Rrc文件），具体为适用于5000微米光源直径的Rrc文件。