Showing 7 open source projects for "gnu science"

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  • 1
    GXSM

    GXSM

    Scanning Probe Microscopy Controller and Data Visualization Software

    GXSM -- Gnome X Scanning Microscopy: A multi-channel image and vector-probe data acquisition and visualization system designed for SPM techniques (STM,AFM..), but also SPA-LEED/LEED/LEEM data analysis. A plug-in interface allows any user add-on data-processing and special hardware and instrument support. Latest: NC-AFM and related explorative methods as SQDM can be configured. High-Speed external PAC-PLL hardware option with digital DSP link. Based on several hardware options it supports...
    Downloads: 8 This Week
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  • 2
    RubyMoss is a Web - Based Framework written with Ruby on Rails, intended to support all analysis and data processing for Mossbauer Spectroscopy. Written under BSD License.
    Downloads: 0 This Week
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  • 3
    Magneticle is a 3D OpenGL physical simulation that applies the Biot-Savart law to charged particles operating inside a magnetic field produced by a current-carrying wire modeled as an arbitrary space curve.
    Downloads: 0 This Week
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  • 4
    Desktop gadget (Windows only). The simulation of a real horizontal sundial, dependent on a geographic position (latitude). Size can be chosen between big and small. It can use current (computer) time, or user-specified date&time.
    Downloads: 0 This Week
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  • 5
    This library is meant for high performance calculations for science or 3D games/rasterizers using SIMD instructions of x86 processors to allow an unparalleled level of optimization. This takes advantage of MMX, 3DNow!, 3DNow!+/MMX+, & SSE/SSE2/SSE3/SSSE3
    Downloads: 0 This Week
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  • 6
    MEDDAC is the seeding point for designing a new approach to Operating System design itself. It is an Open Source project with roots in mainframe design and development the author began in 1979. Monitor Editor Disassembler Decompiler Assembler Compiler
    Downloads: 0 This Week
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  • 7
    Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.
    Downloads: 0 This Week
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