PAN Blend small-angle-scattering packages

Il s’agit d’un programme pour l’analyse d’images de diffraction de poudre pour rayons X. Il fournit la capacité de calibration, de création de masque, de superposition de motifs et d’affichage de lignes de phase.

Fityk est un programme flexible et portable pour la régression non linéaire de fonctions analytiques (spécialement celles en forme de pic) pour des données (habituellement des données expérimentales) – en d’autres mots pour le tri et l’analyse non linéaire.

Il a été développé pour l’analyse de modèles de diffraction, mais peut être aussi utilisé dans d’autres domaines, car les opérations et les concepts particuliers à la cristallographie sont séparés du reste du programme.

Fityk propose diverses méthodes de régression non linéaire, détection d’arrière-plan, calibration de données, positionnement aisé des pics et modifications de leurs paramètres, automatisation des tâches courantes avec des scripts et bien d’autres choses encore. Le principal avantage de ce programme est sa souplesse – les paramètres des pics peuvent être de manière arbitraire reliés les uns aux autres, par exemple, la largeur d’un pic peut être une variable indépendante, la même que celle d’un autre pic ou peut être donnée par une formule compliquée commune à tous les pics.

Libjs-sphinxdoc est nécessaire pour les éléments en Javascript dans la documentation.

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.

sasmodels is a Python module for calculating theoretical Small Angle Scattering patterns. The models provided are usable directly in the bumps fitting package and in the sasview analysis package.

This package contains the documentation for the module.

BioXTAS RAW un programme graphique en Python pour la réduction et l’analyse de diffusion des rayons X aux petits angles (SAXS – Small Angle X-rays Scattering). Ce paquet est conçu pour des données biologiques SAXS.

BioXTAS RAW fournit un remplacement aux programmes source proches comme Primus et Scatter pour l’analyse basique de données. Parce qu’il calibre, masque et intègre des images, il fournit aussi une alternative aux pipelines de faisceau de synchrotron que les scientifiques installent sur leur propre ordinateur et utilisent à la maison et sur la ligne de faisceau.

DENSS is an algorithm used for calculating ab initio electron density maps directly from solution scattering data. DENSS implements a novel iterative structure factor retrieval algorithm to cycle between real space density and reciprocal space structure factors, applying appropriate restraints in each domain to obtain a set of structure factors whose intensities are consistent with experimental data and whose electron density is consistent with expected real space properties of particles.

DENSS utilizes the NumPy Fast Fourier Transform for moving between real and reciprocal space domains. Each domain is represented by a grid of points (Cartesian), N x N x N. N is determined by the size of the system and the desired resolution. The real space size of the box is determined by the maximum dimension of the particle, D, and the desired sampling ratio. Larger sampling ratio results in a larger real space box and therefore a higher sampling in reciprocal space (i.e. distance between data points in q). Smaller voxel size in real space corresponds to higher spatial resolution and therefore to larger q values in reciprocal space.

Available tools:

• supycomb: a re-implementation of supcomb as described in J. Appl. Cryst. (2001). 34, 33-41;
• autorg: automatic guess of the Guinier region in a SAXS curve, based on BioXTAS-RAW;
• auto_guinier automatic guess of the Guinier region in a SAXS curve, based on J. Appl. Cryst. (2007). 40, s223-s228;
• auto_gpa: automatic Guinier peak analysis, based on J Appl Cryst. (2016). 49, 1412–1419;
• bift: an Bayesian inverse Fourier transform, based on J. Appl. Cryst. (2006). 39, 797-804 & BioXtas-RAW;
• cormap: a tool to assess the similarity of saxs curves, based on Nature Methods volume 12, pages 419–422 (2015).

sasmodels is a Python module for calculating theoretical Small Angle Scattering patterns. The models provided are usable directly in the bumps fitting package and in the sasview analysis package.

This package contains the Python 3 version of the module.

SasView is software for the analysis of Small-Angle Scattering (SAS) data.

It fits analytic functions describing different types of material microstructure to experimental data in order to determine the shape, size and degree of ordering.

SasView also includes tools for calculating scattering length densities, slit sizes, resolution, fringe thicknesses/d-spacings, the (Porod) invariant ('total scattering'), and distance distribution functions.

SasView is a Small Angle Scattering Analysis Software Package, originally developed as part of the NSF DANSE project under the name SansView, now managed by an international collaboration of facilities.

This is the package of Python modules; most users will want the graphical user interface in the sasview package.

sasmodels is a Python module for calculating theoretical Small Angle Scattering patterns. The models provided are usable directly in the bumps fitting package and in the sasview analysis package.

This package contains the precompiled versions of the models.

SasView is software for the analysis of Small-Angle Scattering (SAS) data.

It fits analytic functions describing different types of material microstructure to experimental data in order to determine the shape, size and degree of ordering.

SasView also includes tools for calculating scattering length densities, slit sizes, resolution, fringe thicknesses/d-spacings, the (Porod) invariant ('total scattering'), and distance distribution functions.

SasView is a Small Angle Scattering Analysis Software Package, originally developed as part of the NSF DANSE project under the name SansView, now managed by an international collaboration of facilities.

This package installs the sasview executable script.

SasView is software for the analysis of Small-Angle Scattering (SAS) data.

It fits analytic functions describing different types of material microstructure to experimental data in order to determine the shape, size and degree of ordering.

SasView also includes tools for calculating scattering length densities, slit sizes, resolution, fringe thicknesses/d-spacings, the (Porod) invariant ('total scattering'), and distance distribution functions.

SasView is a Small Angle Scattering Analysis Software Package, originally developed as part of the NSF DANSE project under the name SansView, now managed by an international collaboration of facilities.

This is the documentation package.

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.