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Software . 2022
License: CC BY
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Software . 2022
License: CC BY
Data sources: Datacite
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pyrost – Python Robust Speckle Tracking library for wavefront metrology and sample imaging based on ptychographic speckle tracking algorithm.

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 May 2022Publisher:Zenodo
Authors: Ivanov, Nikolay; J. Dresselhaus, Lukas; Carnis, Jerome; Domaracky, Martin; Fleckenstein, Holger; Chufeng, Li; Tang, Li; +5 Authors

doi: 10.5281/zenodo.6574363 , 10.5281/zenodo.6574364

pyrost – Python Robust Speckle Tracking library for wavefront metrology and sample imaging based on ptychographic speckle tracking algorithm.

Abstract

We acknowledge support from DESY (Hamburg, Germany), a member of the Helmholtz Association HGF. Additional support was provided by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 491245950 and by the Cluster of Excellence 'CUI: Advanced Imaging of Matter' of the Deutsche Forschungsgemeinschaft (DFG) – EXC 2056 – project ID 390715994.

Python Robust Speckle Tracking (pyrost) is a library for wavefront metrology and sample imaging based on ptychographic speckle tracking algorithm. This project takes over Andrew Morgan's speckle_tracking project as an improved version aiming to add robustness to the optimisation algorithm in the case of the high noise present in the measured data.

Keywords

speckle-tracking

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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