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MCBackscattering
View on CRAN: Click
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Download and install MCBackscattering package within the R console
Install from CRAN:
install.packages("MCBackscattering")
Install from Github:
library("remotes")
install_github("cran/MCBackscattering")
Install by package version:
library("remotes")
install_version("MCBackscattering", "0.1.1")
Attach the package and use:
library("MCBackscattering")
Maintained by
Laszlo Baranyai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-08
Latest Update: 2020-06-30
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) .
How to cite:
Laszlo Baranyai (2020). MCBackscattering: Monte Carlo Simulation for Surface Backscattering. R package version 0.1.1, https://cran.r-project.org/web/packages/MCBackscattering
Previous versions and publish date:
0.1.0 (2020-05-08 17:30)
Other packages that cited MCBackscattering R package
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Other R packages that MCBackscattering depends,
imports, suggests or enhances
Functions, R codes and Examples using
the MCBackscattering R package
Some associated functions: Absorb . Bounce . Chart . Export . Launch . MCBS . Move . Randomize . Scatter . Setup . Simulation . print .
Some associated R codes: MonteCarlo_R_object.R . Full MCBackscattering package functions and examples
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