PyNX
Python toolkit for accelerated Nano-structures Crystallography and Coherent X-ray Imaging techniques.
The software included in this package can be used for:
1. the computing of X-ray scattering using graphical processing units
2. X-ray wavefield propagation (from near to far field)
3. simulation and GPU-accelerated analysis of experiments using the ptychography and coherent diffraction imaging techniques
See the full documentation at: http://ftp.esrf.fr/pub/scisoft/PyNX/doc/
| Website | http://ftp.esrf.eu/pub/scisoft/PyNX/doc/ |
| Licenses | CeCILL License 2.1 |
| Categories | Data analysis Optics simulation Crystallography Ptychography Imaging |
| Software Requirements | python (3.7+ is deprecated), scipy, pyopencl, vkfft, pycuda... See the documentation for an example installation script in a python virtual environment. |
| Hardware Requirements | GPU with OpenCL or CUDA is necessary to access all features. | Platforms | Mac OS Linux |
| Languages | CUDA OpenCL Python |
| Input Formats | HDF5 EDF SPEC |
| Output Formats | HDF5 |
| Contact email | favre@esrf.fr |
| How-to | |
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PyNX can be downloaded from the ESRF FTP server Development web page are available on the ESRF gitlab server (send an email if you need access from outside the ESRF) |
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| Documentation / Tutorials | |
| References | |
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J. Appl. Cryst. (2020). 53, 1404-1413 PyNX: high-performance computing toolkit for coherent X-ray imaging based on operators J. Appl. Cryst. 49 (2016), 1842-1848 PyNX.Ptycho: a computing library for X-ray coherent diffraction imaging of nanostructure J. Appl. Cryst. 44 (2011), 635-640 Fast computation of scattering maps of nanostructures using graphical processing units |
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| Instruments | BM02 (ESRF) BM32 (ESRF) ID01 (ESRF) ID10 (ESRF) ID13 (ESRF) ID16A-NI (ESRF) |
