Package: MCBackscattering 0.1.1

Laszlo Baranyai

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>.

Authors:Laszlo Baranyai <[email protected]>

MCBackscattering_0.1.1.tar.gz
MCBackscattering_0.1.1.zip(r-4.7-any)MCBackscattering_0.1.1.zip(r-4.6-any)
MCBackscattering_0.1.1.tar.gz(r-4.7-any)MCBackscattering_0.1.1.tar.gz(r-4.6-any)
MCBackscattering_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MCBackscattering/json (API)

# Install 'MCBackscattering' in R:
install.packages('MCBackscattering', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 203 downloads 1 mentions 23 exports 0 dependencies

Last updated from:efe3c807fc. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK148
linux-releaseOK109
windows-develOK58
windows-releaseOK59
wasm-releaseOK85

Exports:AbsorbAbsorb.MCBSBounceBounce.MCBSChartChart.MCBSExportExport.MCBSLaunchLaunch.MCBSMCBSMoveMove.MCBSprintprint.MCBSRandomizeRandomize.MCBSScatterScatter.MCBSSetupSetup.MCBSSimulationSimulation.MCBS

Dependencies: