Showing 11 open source projects for "ray tracing python"

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  • 1
    GenX

    GenX

    X-Ray and Neutron Reflectivity Modeling

    GenX is a scientific program to refine x-ray refelcetivity, neutron reflectivity and surface x-ray diffraction data using the differential evolution algorithm. GenX is very modular and highly extensible and can be used as a general fitting program.
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    Downloads: 72 This Week
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  • 2
    PyMca
    Stand-alone application and Python tools for interactive and/or batch processing analysis of X-Ray Fluorescence Spectra. Graphical user interface (GUI) and batch processing capabilities provided.
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    Downloads: 177 This Week
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  • 3
    KherveFitting

    KherveFitting

    Fit X-ray Photoelectron Spectroscopy (XPS) and XAS data

    KherveFitting is a full featured XPS, XAS and Raman fitting software for Windows & macOS that is simple and easy to use. KherveFitting can open Excel files (.xlsx) or import/convert .vms, .avg, .kal, .spe (Thermo, Kratos, Specs, Scienta, Omicron, Phi) files into Excel format. 5 background types available: Tougaard, Shirley, Smart, Adaptive Smart. Various peak fitting models: Product and Sum of Gaussian and Lorentzian (GL & SGL), Voigt, Asymmetric Lorentzian (LA), Doniac-Sunjic (G*DS) and...
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    Downloads: 266 This Week
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  • 4
    2DFLT

    2DFLT

    Program for Normalization, Averaging and Editing of In Situ Data Sets

    2DFLT it is first out of two programs which allows implementation of Phase Sensitive Detection (PSD) and/or Modulated Enhanced Diffraction (MED) techniques on the in situ data. This software allows collecting individual data files from in situ experiment into one dataset. After that this data set can be visualized, edited, normalized and averaged. Resulted data can be saved as one flat file (FLT-format) which can be used for PSD/MED calculations via 2DMED software...
    Downloads: 0 This Week
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  • 5

    Larch: Data Analysis for X-ray Spectra

    Data Processing and Analysis for X-ray Spectroscopy and More

    ...Larch provides a wide range of functionality for dealing with arrays of scientific data, and basic tools to make it easy to use and organize complex data. Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).
    Downloads: 1 This Week
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  • 6
    X-ray diffraction data processing and visualization pipeline for Laue photo-crystallography
    Downloads: 0 This Week
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  • 7
    The pySpec project is a set of data analysis routines written in python for analysis of x-ray diffraction data produced by the SPEC X-Ray Diffraction and Data Acquisition software. This repo has moved to : https://github.com/stuwilkins/pyspec
    Downloads: 3 This Week
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  • 8
    PySpline is a graphical, cross-platform program for processing X-ray absorption spectroscopy (XAS) and Extended X-ray absorption fine structure (EXAFS) data. It allows processing parameters to be adjusted and observe the effect on R-space data.
    Downloads: 0 This Week
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  • 9
    bni-tools
    --UPDATE-- New Version is now integrated in the official PyMOL plugin repository! --UPDATE-- The BNI (Beyond Normal Interaction)- Tools is a plug in for the PyMOL molecular visualization system which adds additional functionalities and presets to the PyMOL GUI and also adds useful extended commands.
    Downloads: 0 This Week
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    The Most Powerful Software Platform for EHSQ and ESG Management

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  • 10
    IFEFFIT is a library and set of interactive programs for the analysis of x-ray absorption fine-structure (XAFS) data. IFEFFIT combines state-of-the-art analysis algorithms with graphical display of XAFS data, and general data manipulation. It can be
    Downloads: 5 This Week
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  • 11
    Refl2EXAFS is an utility for the analysis of extended x-ray absorption fine structure (EXAFS) data collected in total reflection mode (reflEXAFS).
    Downloads: 0 This Week
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