
A python package to help Bragg Coherent Diffraction Imaging (BCDI) practitioners in their analysis and visualisation workflows. The package is designed to handle the three primary stages of a BCDI data processing workflow: * **Proprocessing** (data centering and cropping) * **Phase retrieval**: utilises PyNX for phasing (refer to [PyNX documentation](http://ftp.esrf.fr/pub/scisoft/PyNX/doc/)). * **Post processing** (orthogonalisation, phase manipulation, strain computation etc.) It is assumed that the phase retrieval is conducted using the PyNX package. The `BcdiPipeline` class runs all three stages and can manage connections to different machines, especially for GPU-based phase retrieval.
If you use this package for scientific work, please consider including a citation as below.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
