Open Source Python Physics Software - Page 4

Damocles is a game engine programmed in C++.(Opengl/SDL) ||| OS:Linux / Windows ||| 3 main modules in Damocles: ||| Damocles : 3D engine |||Junior : Physic and Mathematics engine ||| Unik : Network engine (Only for Windows version for the moment)

DiagSim is a collection of Python modules for simulating beam diagnostics in particle accelerators, at the moment only cavity BPMs, with other types of BPMs and other diagnostics to follow. Or so we think. Anyway, we use beam data exported from beam trackers, trace the signals through the diagnostics and processing, so that they can be processed as real data, and the input and measured beam parameters can be compared.

A Python package that provides classes and tools for dealing with dimensional quantities. Includes a parser for the quantity language (i.e. calculates "3 meters per second in miles per hour") and a class for constructing matrices containing dimensions.

Dimenso is a library of numeric types for .Net and Java, that obey dimensional analysis and permit calculations with physical quantities. Due to the lack of C++ - like templates with numeric arguments, code generation is employed using Python.

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.

ED Software project contains several programs used (mostly) for processing gas-phase electron diffraction (GED) experimental data.

The EMCD Utility Program is designed to process EELS spectra (filtering, shift/stretch on a common energy scale) in order to generate qualitative EMCD signal by substracting the spectra. See also:

The goal of this project is to develop a generic and powerful 3D simulation framework mainly but not exclusively targeted at game development. Important aspects are efficency and simplicity of use.

Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)

FAST is an Analysis and Simulation Toolbox (FAST) for Fuel Cells (FC) FAST-FC is the doctorate work of David B. Harvey and was developed with support from the U.S. DOE, Ballard, and Queen's University. Derivative works of FAST-FC include FC-APOLLO which is a forked branch of this project intended to capture the code state at the exit of the funded DOE project. FAST-FC is the open and active community branch. FAST-FC is developed and maintained by the original creator and developer, David B. Harvey. Features of FAST-fc include transport of gases and liquids, multi-step reaction kinetics, transient and steady state operation for performance and durability, and scalable dimensionality from 1D - 3D domains. Future development work is on-going in FAST-fc and our strategic development schedule includes membrane degradation, improved liquid water transport models through the application of pore networks, and extension to stack-level simulation.

A cooperative passive radar aimed to be used over commercial (and cheap) hardware.

An object-oriented partial differential equation (PDE) solver, written in Python, based on a standard finite volume approach and includes interface tracking algorithms. *WARNING* The project is no longer using Sourceforge to maintain its repository.

**we moved to github** https://github.com/gimli-org/gimli Geophysical Inversion and Modeling Library

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 Maxwell’s Equations Solver.

Set of scripts based on gaussian optics, which allow you to analyze the image waist created from a gaussian beam, and quickly determine 1-lens and 2-lens mode matching configurations to match a beam waist to another waist size

This project examines techniques to model three-dimensional rigid body motion using the geometric algebra of Dual Quaternions and how such models compare to more traditional models when used in underconstrained filtering applications.

HOPSA, high oxygen pressure sputter automation, is a Python 3 project to control a step wise sample creation Process. Although written for this specific task it is easy to adopt for any experimental task which changes hardware parameters and waits for a specific condition before proceeding. The graphical interface (QT4) includes plotting (matplotlib), instrument configuration/monitoring and a program step creator. The communication with the hardware is independent of the GUI and any number of devices can be selected. To modify the code for any other task only the hardware interface needs to be redefined.

Henry is an interface for Taylor 1.4.3 package (A. Jorba & M. Zou) and was written for master thesis to compute N-body problems (in Poincare variables) and MEGNO stability factor. Work is supported by Krzysztof Gozdziewski.

IFoam is an OpenFOAM derived framework. It uses Python programming language for definition of its API. Itegrates visual components for limited post-processing. Provides access to some GUI components for more efficient set up the simulation cases.

NOTE: The Inelastica project moved to https://github.com/tfrederiksen/inelastica/ in February 2018. Pre- and post-processing tools for SIESTA (DFT, quantum chemistry) and TranSIESTA (quantum transport): (1) Calculate phonon frequencies, e-ph couplings, and inelastic contributions to the conductance (IETS). (2) Access Hamiltonian etc from Python. Some code documentation and installation instructions are available at this mediawiki page: http://dipc.ehu.es/frederiksen/inelastica/index.php.

*Project home now moved to Google Code.* Numerical computing and plotting tools for IronPython.

KU1K is a set of tools for 4D,5D and 6D compact U(1) lattice gauge theory Monte Carlo simulation using the Skipis-Vantzos algorithm. As the calculations involved, even for the 4D case, are consuming, the project is modular so as to run on the Grid.

Katrin repository for simulation code being developed out of the USA universities

Load a folder with images from raster electron microscope, choose necessary options and let the algorythm calculate the characteristics of the line.