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Add and evaluate reco methods #11

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heidemeissner opened this issue Feb 25, 2020 · 3 comments

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heidemeissner commented Feb 25, 2020

First step: add reconstruction methods from WP2 plus interfaces to libertem
Second step: Evaluate concerning:

applicability and limitations of the algorithms
performance analysis (parallelization, scalability)
accuracy (e.g. robustness to noise)
convergence to correct / unique solution (expected)
applicability to interactive measurements ("online reconstruction")?
data formats and data handling, e.g. zeroMQ, Check with WP1 colleagues

heidemeissner added the enhancement label

heidemeissner assigned uellue and heidemeissner

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heidemeissner commented Feb 25, 2020

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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heidemeissner commented Feb 25, 2020

Check for further solvers of optimization problems, e.g. in Pytorch and tensorFlow. First step: define cost function

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heidemeissner commented Feb 26, 2020 •

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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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