Python Physics Software for Linux

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Browse free open source Python Physics Software for Linux and projects below. Use the toggles on the left to filter open source Python Physics Software for Linux by OS, license, language, programming language, and project status.

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  • 1

    PROPER Optical Propagation Library

    Routines for wavefront propagation in IDL, Matlab, and Python

    PROPER is a library of routines for the propagation of wavefronts through an optical system using Fourier-based methods. It was developed at the Jet Propulsion Laboratory for modeling stellar coronagraphs, but it can be applied to other optical systems were diffraction propagation is of concern. It is currently available for IDL (Interactive Data Language), Matlab and Python (3.x). It includes routines for generating complex apertures and obscurations and aberrations (Zernike & PSD-defined). It includes a model of a deformable mirror for wavefront control. The routines perform near and far field propagation with automatic selection of propagators. The latest version is v3.3.1 (IDL & Matlab) and v3.3.4 (Python). Please report any bugs using the Tickets tab.
    Downloads: 42 This Week
    Last Update:
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  • 2

    Liquid rocket engine parameter solver

    This is the liquid rocket engine parameter solver Alpha release 1.

    This is the liquid rocket engine parameter solver Alpha release 1 which is the first version for this project. This first version will help to find thrust values by giving some values to the system
    Downloads: 0 This Week
    Last Update:
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  • 3
    QuickNXS

    QuickNXS

    Polarized ToF reflectivity raw data analysis tool

    Data evaluation tool for the magnetism reflectometer at the spallation neutron source (BL-4A@SNS). Reads raw nexus files (HDF5) of histogrammed or event mode data to create reflectivity curves and 2D Q-maps.
    Downloads: 0 This Week
    Last Update:
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  • 4

    SCaVis

    Scientific Computation and Visualization Environment

    SCaVis is an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Elements of symbolic computations using Octave/Matlab scripting are supported. The project was migrated to DataMelt.
    Downloads: 0 This Week
    Last Update:
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