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arXiv · 2205.05494

darfix: Data analysis for dark-field X-ray microscopy

Júlia Garriga Ferrer·Raquel Rodríguez-Lamas·Henri Payno·Wout De Nolf·Phil Cook·Vicente Armando Solé Jover·Vincent Favre-Nicolin·Can Yıldırım·Carsten Detlefs
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Abstract

A Python package for the analysis of dark-field X-ray microscopy (DFXM) and rocking curve imaging (RCI) data is presented. \textit{darfix} provides a set of data processing and visualization tools that can be either imported as library components or accessed through a graphical user interface (GUI) as an Orange add-on. In the latter case, the different analysis modules can be easily chained to define computational workflows. Operations on larger-than-memory image sets are supported through the implementation of online versions of the data processing algorithms, effectively trading performance for feasibility when the computing resources are limited. The software can automatically extract the relevant instrument angle settings from the input files metadata. The currently available input file format is EDF and in future releases HDF5 will be incorporated.

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Júlia Garriga Ferrer, Raquel Rodríguez-Lamas, Henri Payno, Wout De Nolf, Phil Cook, Vicente Armando Solé Jover, Vincent Favre-Nicolin, Can Yıldırım, Carsten Detlefs. 2022-05-11. darfix: Data analysis for dark-field X-ray microscopy. https://arxiv.org/abs/2205.05494

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