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Free Soft
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CHOOCH
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EDA
EXAFS (pour le Mac)
EXAFSPAK
GNXAS
LASE
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NPI
SEDEM
TT-MULTIPLETS
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XAFS
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XANES dactyloscope
Commercial Soft
Cerius2 XAFS
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FEFF
UWXAFS
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LASE
 
HARDWARE  any unix computer with X-Window (tested on alpha/digital unix; Solaris; HPUnix; linux (C source ready to compile)), Windows and Mac.
DOWNLOAD  Download it Here
AUTHORS  Emmanuel Curis  
NOTES  LASE includes all the most common functions of EXAFS analysis and offers a user-friendly graphical interface for them. It is mainly designed to handle the statistical errors propagation across all treatment, including Fourier filtering. Statistical errors are determined point by point, when averaging spectra, but the user can replace them by other point-by-point estimation if necessary.
  • XAS extraction: preedge is modelized by a victoreen or a polynomial function. Background is modelised by a 3 step procedure : polynom in E space, in k space an spline in k space. The extracted spectrum is adapted in real time (including its Fourier transform) to easily check the extraction quality. Parameters of extraction can be saved and reapplied to other spectra.
  • Fourier filtering: LASE offers an important choice of windows. It computes the Fourier transform by the trapeze method, which also allow to compute the correlations between the Fourier transform points and between the filtered spectrum points.
  • Model construction: LASE offers a GUI for FEFF-6 options. It has tools to generate 3d models from cristallographic coordinates or from PDB or Cambridge Databank files (if Open-GL is present, it can show the model on screen and it is possible to select the atoms to keep for FEFF computations directly on the view). It can use FEFF output files to generate a multi-shells fit model, and shows the nature of each diffusion path on screen (if Open-GL is present).
  • Fitting: LASE can fit models to experimental data in k-space, using the classical least-square estimators (weighted or not by error bars). Uncertainties on the fit results are determined by the use of Monte-Carlo simulations. It offers statistical tools to analyze the Monte-Carlo results (distribution tests, correlations, average and quadratic dispersion,...)

Find more information here.

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