MCCL

MCCL performs Monte Carlo simulations of radiative transport through heterogeneous turbid media to model photon scattering, absorption, and transmission in complex materials.

Key Features:

• Monte Carlo Simulations: Employs the Monte Carlo method, a stochastic technique to model radiative transport where analytical solutions are challenging due to media heterogeneity.
• Radiative Transport Modeling: Models propagation of radiation through turbid media that scatter and absorb light, including examples such as biological tissues and atmospheric particles.
• Heterogeneous Media Support: Handles spatially varying optical properties within a volume to simulate realistic nonuniform media.

Scientific Applications:

• Biomedical Imaging: Supports modeling for diffuse optical tomography and photoacoustic imaging by providing accurate representations of light propagation in biological tissues.
• Atmospheric Science: Enables simulation of how sunlight interacts with atmospheric particles and gases, applicable to climate modeling and remote sensing.
• Material Sciences: Facilitates study of light interaction with composite materials or particulate media relevant to optical devices and coatings.

Methodology:

MCCL applies the Monte Carlo simulation technique by propagating a large number of photons through a medium to statistically approximate scattering, absorption, and transmission.