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ssc-cdi

SSC-CDI
Authors: R. Tonin, Yuri; Z. Peixinho, Alan; L. Baraldi, Giovanni;
Abstract

sscCdi is the Coherent Diffraction Imaging package of the Sirius Scientific Computing (ssc) group. It currently performs: - Ptychography - Ptycho-tomography pre-processing (sorting, cropping, unwrapping, phase-ramp removal) High-level level functionality is written in Python. Some of the algorithms are accelerated using C++/CUDA. If you have any questions, contact: gcc@lnls.br Usage See examples folder for Python notebooks that show how to use package. Acknowledgements We would like to acknowledge the Brazilian Ministry of Science, Technology, and Innovation MCTI for supporting this work through the Brazilian Center for Research in Energy and Materials (CNPEM).

Programming languages: Python, C++, Cuda, Jupyter Notebook Alternative titles: sscCdi, ssc-cdi

Related Organizations
Keywords

Ptychography, X-Rays, GPGPU, GPU, Coherent Diffractive Imaging, Coherence Diffractive Imaging, CUDA, CDI, Tomography, C++, Python, Imaging, Synchrotron

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average