Comments (3)
Issue: uncertainties in raster point positions and positions of diffraction images due to shifts of beam and objects. Which algorithm is most robust?
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Check for further solvers of optimization problems, e.g. in Pytorch and tensorFlow. First step: define cost function
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Considered algorithms are:
- EPIE (DESY)
- EPIE (Achim)
- direct solver (phase lift)
- Kurato-Vicsek (added now, provided by Philippe Sünnen)
- PtyPy?
- Difference Map?
- Wirtinger Flow?
- (Blind) Wigner Deconvolution
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Related Issues (20)
- updating EPIE-Alpaka to latest version HOT 1
- test of GPU version for CDI HOT 3
- Alpaka EPIE version HOT 1
- Distributing the software HOT 6
- Poster for Helmholtz Imaging Platform matchmaking workshop HOT 2
- Update the install instructions for the alpaka binding prototype HOT 1
- Missing requriement documentation for the SSB prototype
- Release version 0.1 with SSB and stitching HOT 13
- Rename the source folder? HOT 1
- Documentation update: Instruct users to fork!
- Documentation: instruct users to install LiberTEM ?! HOT 4
- Document `if __name__ == "__main__": ...` in SSB example (was: Error in SSB example) HOT 7
- Collect Numba coverage HOT 2
- Tests w/ data access in CI
- Test on Python 3.11 HOT 1
- Compare with other implementation(s)
- Numba code coverage HOT 2
- Link to publications in the docs
- Check meaningful SSB parameters HOT 1
- Update notebook ssb-live-reconstruction.ipynb with new LiberTEM-live API
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