GenX - Home - GitHub Pages GenX is a versatile program using the differential evolution algorithm for fitting, primarily, X-ray and neutron reflectivity data, lately also surface x-ray diffraction data The differential evolution algorithm is a robust optimization method which avoids local minima but at same is a highly effective
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GitHub - aglavic genx GenX is a versatile program using the differential evolution algorithm for fitting, primarily, X-ray and neutron reflectivity data, lately also surface x-ray diffraction data The differential evolution algorithm is a robust optimization method which avoids local minima but at same is a highly effective
Welcome to GenX’s documentation! — GenX 3. 7. 10 documentation GenX is a tool to refine x-ray, neutron reflectivity as well as surface x-ray diffraction data written in Python The refinement is conducted with an optimization algorithm called differential evolution which is very robust The reflectivity model in GenX is build using a graphical plugin but can be highly customized in a script
GenX: Introduction · GenX. jl - GitHub Pages GenX is a highly-configurable, open source electricity resource capacity expansion model that incorporates several state-of-the-art practices in electricity system planning to offer improved decision support for a changing electricity landscape
Software | Open Reflectometry Standards Organisation anaklasis: a set of open-source Python3 scripts (with fortran90 extensions) that facilitate a range of specular neutron and x-ray reflectivity calculations https: github com alexandros-koutsioumpas anaklasis
GenX Reflectivity Models — GenX 3. 7. 10 documentation - GitHub Pages Describe global sample by listing ambient, substrate and layer parameters A list consiting of Stacks in the stacks the first item is the layer closest to the bottom A Layer describing the Ambient (enviroment above the sample) Only the scattering lengths and density of the layer is used
GenX - Browse 3. x. y GenX 3. 6. x at SourceForge. net See: https: aglavic github io genx doc tutorials mpi html for more information * Implement asymmetric errors from bumps statistics, fix some bugs and add option to normalize parameter
GitHub - aglavic plotpy This is the fourth release of scripts for plotting mpms ppms, 4Circle, reflectometer, treff, dns and some more file formats so that common tasks are automated and the user saves a lot of time Many people use gnuplot and with this program you can create nice gnuplot graphs quite fast and change the gnuplot script after exporting it
aglavic scattering_lecture_extras - GitHub Ressources to be used with the UZH scattering course https: www physik uzh ch en teaching PHY585 FS2025 html Install python on your local machine and create a virtual environment On Windows I'd recommand anaconda and run in the anaconda prompt: This should open a browser with the jupyter notebooks within the repository
genx README. md at master · aglavic genx · GitHub GenX is a versatile program using the differential evolution algorithm for fitting, primarily, X-ray and neutron reflectivity data, lately also surface x-ray diffraction data The differential evolution algorithm is a robust optimization method which avoids local minima but at same is a highly effective