Search Results for "distributions linux"

GMES is a free finite-difference time-domain (FDTD) simulation Python package developed at GIST to model photonic devices. Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions. GMES officially stands for GIST...

FreeFOAM is no longer maintained. Please consider using one of the official OpenFOAM distributions instead.

Photonics is a photon tracking Monte Carlo package, which calculates photon flux and time distributions in a heterogeneous medium surrounding a light source. The propagation medium and detector and light sources are highly customizable.

SIMulation to EXPeriment is software that allows the direct comparison of simulation density information with that obtained from X-ray and neutron scattering experiments, by converting the simulation data to form factors. It also calculates volume probability distributions according to a space filling volumetric model. Written in C++ and Qt, SIMtoEXP has a very simple and easy to use GUI with interactive plotting. The software was originally developed by Norbert Kucerka. The code has...

NanoTrackJ moved to GitHub! Please see: https://github.com/thorstenwagner/ij-nanotrackj or http://fiji.sc/NanoTrackJ

The Automated Parameter Estimation and Model Selection Toolkit is a fast, parallelized MCMC engine written in C for Bayesian inference (parameter estimation and model selection).

GRAY (High Energy Photon Ray Tracer) is a Monte-Carlo ray-driven high energy photon transport engine for mainly PET and SPECT applications that supports complex mesh based primitives for source distributions, phantom shapes, and detector geometries.

Distributions Networks Analyzer (DNA) is a tool for simulating (power flow) and analyzing electrical distribution networks. Users can easily implement and test their own power flow, optimal power flow and control algorithms.