Search Results for "distributions linux"

This software accompanies the textbook "Quantum Wells, Wires and Dots" (4th Edition), Paul Harrison and Alex Valavanis, Wiley, Chichester (2015). It is adapted (by the same authors) from code that was originally supplied on a CD with the first edition of the book [1] and is now made available under the GPL3 license. In brief, we encourage everyone to use the software in your studies and research, to study and modify the source-code and to share it widely. However, you are not permitted to...

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FreeFOAM is no longer maintained.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...

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.