PAN Blend powder packages

A program that computes structure factors |F^2| for neutrons, x-rays, and electrons from CIF/CFL/SHX/PCR crystallographic descriptions. This is useful to compute the diffraction pattern from materials.

This package contains the executable.

A GUI program for fast analysis of powder X-ray diffraction Images. It provides the capability of calibrating, creating masks, having pattern overlays and showing phase lines.

Fityk is a flexible and portable program for nonlinear fitting of analytical functions (especially peak-shaped) to data (usually experimental data). In other words, for nonlinear peak separation and analysis.

It was developed for analyzing diffraction patterns, but can be also used in other fields, since concepts and operations specific for crystallography are separated from the rest of the program.

Fityk offers various nonlinear fitting methods, subtracting background, calibrating data, easy placement of peaks and changing peak parameters, automation of common tasks with scripts, and much more. The main advantage of the program is flexibility - parameters of peaks can be arbitrarily bound to each other, eg. the width of a peak can be an independent variable, can be the same as the width of another peak or can be given by a complicated - common to all peaks - formula.

libjs-sphinxdoc is necessary for the Javascript stuff in the documentation.

xylib is a C++ library for reading files that contain x-y data from powder diffraction, spectroscopy and other experimental methods.

This package contains a small program xyconv that converts files supported by the xylib library to TSV (tab-separated values).

FOX is a program for the ab initio structure determination from powder diffraction (neutrons, X-Ray). The crystal structure can be described as any combination of atoms, molecules or polyhedra, without a priori information about the connectivity of these 'building block'. Fox can make multi-pattern global optimizations, and automatically correct special positions.

FOX could also be used for educational purposes, to display Crystal Structures in 3D with the associated powder diffraction pattern.

PyFAI is a Python library for azimuthal integration; it allows the conversion of diffraction images taken with 2D detectors like CCD cameras into X-Ray powder patterns that can be used by other software like Rietveld refinement tools (i.e. FullProf), phase analysis or texture analysis.

As PyFAI is a library, its main goal is to be integrated in other tools like PyMca, LiMa or EDNA. To perform online data analysis, the precise description of the experimental setup has to be known. This is the reason why PyFAI includes geometry optimization code working on "powder rings" of reference samples. Alternatively, PyFAI can also import geometries fitted with other tools like Fit2D.

PyFAI has been designed to work with any kind of detector with any geometry (transmission, reflection, off-axis, ...). It uses the Python library FabIO to read most images taken by diffractometer.

CodraFT is a generic signal and image processing software based on Python scientific libraries (such as NumPy, SciPy or scikit-image) and Qt graphical user interfaces (thanks to guidata and guiqwt.

CodraFT stands for "CODRA Filtering Tool".

CodraFT is available as a stand-alone application or as an addon to your Python-Qt application thanks to advanced automation and embedding features.

python implementation of the matrix algorithm for computer modeling of X-ray diffraction (XRD) patterns of disordered lamellar structures. It's goals are to:

• provide an easy user-interface for end-users
• provide basic tools for displaying and manipulating XRD patterns
• produce high-quality (publication-grade) figures
• make modelling of XRD patterns for mixed-layer clay minerals 'easy'
• be free and open-source (open box instead of closed box model)

PyXRD was written with the multi-specimen full-profile fitting method in mind. A direct result is the ability to 'share' parameters among similar phases. This allows for instance to have an air-dry and a glycolated illite-smectite share their coherent scattering domain size, but still have different basal spacings and interlayer compositions for the smectite component. Or play with the di/tri-octahedral composition of a chlorite with ease.

SPD stands for SPatial Distortion. Written in C language, this command-line driven program deals with images coming from X-ray diffusion/diffraction experiments. It does subsequently:

 *intensity corrections (dark current, flat field correction, ...),
 *geometry corrections using spline files or a pair of distortion arrays,
 *azimuthal integration in 2D or 1D after maskin defective pixels.
SPD was originally written by Jorg Klora for ESRF and was re-written by Peter

Boesecke. Maintenance and packaging of the program are provided by Rainer Wilcke and Jerome Kieffer from software group at ESRF.

GSAS-II is an open source Python project that addresses all types of crystallographic studies, from simple materials through macromolecules, using both powder and single-crystal diffraction and with both x-ray and neutron probes. Measurements can be constant wavelength (or in the future, neutron TOF.) At present, code is being developed for all the various steps in diffraction analysis, such as data reduction, peak analysis, indexing, structure solution and structure refinement.

At present GSAS-II can be used for processing of area detector data, peak fitting, auto-indexing, structure solution, Pawley and Rietveld fitting. Many of the nice features of GSAS are present and some things work much better than in GSAS, but other features are yet to come. At this point only x-rays and constant wavelength neutrons are implemented (no TOF). The GUI is self-documenting with help pages for every GUI page. The code is changing on a regular basis, so expect things to break from time to time and you should 'Update' frequently to stay abrest of new features as they are added.

PyXRD is a python implementation of the matrix algorithm for computer modeling of X-ray diffraction (XRD) patterns of disordered lamellar structures. It's goals are to:

• provide an easy user-interface for end-users
• provide basic tools for displaying and manipulating XRD patterns
• produce high-quality (publication-grade) figures
• make modelling of XRD patterns for mixed-layer clay minerals 'easy'
• be free and open-source (open box instead of closed box model)

PyXRD was written with the multi-specimen full-profile fitting method in mind. A direct result is the ability to 'share' parameters among similar phases. This allows for instance to have an air-dry and a glycolated illite-smectite share their coherent scattering domain size, but still have different basal spacings and interlayer compositions for the smectite component.

Other features are (incomplete list):

• Import/export several common XRD formats (.RD, .RAW, .CPI, ASCII)
• simple background subtraction/addition (linear or custom patterns)
• smoothing patterns and adding noise to patterns
• peak finding and annotating (markers)
• custom line colors, line widths, pattern positions, ...
• goniometer settings (wavelengths, geometry settings, ...)
• specimen settings (sample length, absorption, ...)
• automatic parameter refinement using several algorithms, e.g.:
  • L BFGS B
  • Brute Force
  • Covariation Matrix Adapation Evolutionary Strategy (CMA-ES; using DEAP)
  • Multiple Particle Swarm Optimization (MPSO; using DEAP)
• scripting support