图：一套和三维X射线荧光光谱数据集的可视化分析Python软件工具

X-ray fluorescence (XRF) imaging typically involves the creation and analysis of 3D data sets, where at each scan position the full spectrum is recorded. This allows one to later process the data in a variety of different approaches, e.g., by spectral region of interest (ROIn) summation with or without background subtraction, principal component analysis, or fitting. Additionally, it is possible to sum up the per pixel spectra over selected spatial ROIs so as to improve the photon statistics in such a spectrum. MAPS is a Python open source software package that implements these functions to provide a tool set for the analysis of 3D XRF data sets.

henke.pyc
henke.xdr
make_maps.pyc
maps_analyze.pyc
maps_definitions.pyc
maps_detector.pyc
maps_elements.pyc
maps_fit_parameters.pyc
maps_generate_img_dat.pyc
maps_hdf5.pyc
maps_mda.pyc
xrf_library.csv