Summary
coherent-diffraction
coherent diffraction software
This metapackage will install PAN Blend coherent diffraction packages.
Description
For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:
If you discover a project which looks like a good candidate for PAN Blend
to you, or if you have prepared an unofficial Debian package, please do not hesitate to
send a description of that project to the PAN Blend mailing list
Links to other tasks
|
PAN Blend coherent-diffraction packages
Official Debian packages with lower relevance
|
pynx
Python tools for Nano-structures Crystallography
|
| Versions of package pynx |
|---|
| Release | Version | Architectures |
|---|
| bookworm-backports | 2025.1-2~bpo12+1 | all |
| trixie | 2025.1-2 | all |
| sid | 2025.1-4 | all |
| upstream | 2026.1.1 |
|
License: DFSG free
|
|
|
|
No known packages available
|
bonsu
phase retrieval software package for real-time visualisation
|
|
License: GPL3+
Debian package not available
|
|
Bonsu, the interactive phase retrieval suite, is the first phase
retrieval software package for real-time visualisation of the
reconstruction of phase information, from coherent X-ray diffraction
imaging intensity measurements, in both two and three dimensions. It
is complete with an inventory of algorithms and routines for data
manipulation and reconstruction.
Bonsu is open-source, is designed around the python language (with
c++ bindings) and is largely platform independent. It is also able to
handle data in formats such as:
- SPE
- HDF5 (indirectly through h5py)
- VTK
- NumPy
|
|
hawk
diffraction pattern reconstruction
|
|
License: ?
Debian package not available
|
|
|
|
ptypy
Ptychography Reconstruction for Python
|
|
License: GPL-2+
Debian package not available
|
|
Ptypy was designed with flexibility in mind: it should allow rapid
development of new ideas. To this end, much of the "ugly" details
have been hidden in advanced containers that manage data and access
"views" onto them.
Currently implemented:
- Fully parallelized (using MPI)
- Difference map algorithm with power bound constraint
- Maximum Likelihood with preconditioners and regularizers.
- Mixed-state reconstructions of probe and object
- On-the-fly reconstructions (while data is being acquired)
|
|