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MCBackscattering (version 0.1.1)

Monte Carlo Simulation for Surface Backscattering

Description

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) .

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Version

Install

install.packages('MCBackscattering')

Monthly Downloads

131

Version

0.1.1

License

LGPL-2.1

Maintainer

Laszlo Baranyai

Last Published

June 30th, 2020

Functions in MCBackscattering (0.1.1)

Launch

Launch Photons into Semi-infinite Media
Scatter

Scattering of Single Photon in Media
Setup

Initial Configuration of MCBS Class
Simulation

Runs the Monte Carlo Simulation
MCBS

Monte Carlo Backscattering class
print

Print text report on console
Absorb

Absorbtion of Single Photon Energy in Media
Bounce

Bounce Photon Interaction with Surface
Randomize

Random Numbers Selection for Single Photon Trajectory
Chart

Plot Backscattering Photon Flux Profile
Move

Moves Single Photon in Media
Export

Export Simulation Result