PyXOpto is a collection of python tools for performing Monte Carlo simulations of light propagation in turbid media.

MC Dataset is an extensive collection of datasets computed with PyXOpto Monte Carlo light propagation models. The readily available datasets are computed for a vast variety of sources, detectors and sample optical properties and include information of reflectance, transmittance, sampling volume and fluence/energy deposition data.

Yet Another Monte Carlo Toolbox.

A mini project that includes calculations related to light propagation. The following technologies are used: C ++ & CUDA & OpenMP.

A MonteCarlo light propagation algorithm on a Xilinx FPGA using High Level Synthesis.

Fractional evolution of initial amplitudes under various realizations of the discrete and finite harmonic oscillator