MCBackscattering: Monte Carlo Simulation for Surface Backscattering

Monte Carlo simulation is a stochastic method computing trajectories of photons in media. Surface backscattering is performing calculations in semi-infinite media and summarizing photon flux leaving the surface. This simulation is modeling the optical measurement of diffuse reflectance using an incident light beam. The semi-infinite media is considered to have flat surface. Media, typically biological tissue, is described by four optical parameters: absorption coefficient, scattering coefficient, anisotropy factor, refractive index. The media is assumed to be homogeneous. Computational parameters of the simulation include: number of photons, radius of incident light beam, lowest photon energy threshold, intensity profile (halo) radius, spatial resolution of intensity profile. You can find more information and validation in the Open Access paper. Laszlo Baranyai (2020) <doi:10.1016/j.mex.2020.100958>.

Version: 0.1.1
Published: 2020-06-30
DOI: 10.32614/CRAN.package.MCBackscattering
Author: Laszlo Baranyai
Maintainer: Laszlo Baranyai <Baranyai.Laszlo at>
License: LGPL-2.1
NeedsCompilation: no
CRAN checks: MCBackscattering results


Reference manual: MCBackscattering.pdf


Package source: MCBackscattering_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MCBackscattering_0.1.1.tgz, r-oldrel (arm64): MCBackscattering_0.1.1.tgz, r-release (x86_64): MCBackscattering_0.1.1.tgz, r-oldrel (x86_64): MCBackscattering_0.1.1.tgz
Old sources: MCBackscattering archive


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