Scientific Data Analysis
#1780 - Màj : 30/03/2011
Technique (desc. gen.)
Olivier Taché, Olivier Spalla, Antoine Thill, David Carriere, Fabienne Testard, Debassis Sen
We have developed at LIONS a series of modules grouped under the name PySAXS (like Python for SAXS). PySAXS is entirely based on Numpy and SciPy. These modules allow us to perform the different operations necessary to process the SAXS data treatment (setting in absolute scale, deconvolution, background substraction,...). Error uncertainty is taken in acount. pySAXS is OPEN SOURCE and distributed under the CECILL licence (GPL compatible).
O. Taché
We use the Open Source ImageJ software for the SAXS treatment of different images from our x-rays detectors. Actually somes plugins are developed in the lab for opening images from MarResearch MAR300, ImagePlate Gel files, FastCom data file (gas detector). ESRF Data File can also be opened. Installation Different plugins for radial averaging are under development. You need to download the version with Java of ImageJ.  Here you can download the complete SAXS plugins.
Le LIONS a choisi le langage Python comme outil commun de programmation pour l'analyse des données et le développement des algorithmes scientifiques. Cela facilite l'échange de code entre les membres du laboratoire. Par exemple, nous avons développé une librairie PySaxs utilisée pour le traitements des données SAXS. Cette libriaire comprend différents modèles développés par les chercheurs du laboratoire.

 

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