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| Funder | Vinnova |
|---|---|
| Recipient Organization | Scatterin Ab |
| Country | Sweden |
| Start Date | Sep 29, 2023 |
| End Date | May 31, 2024 |
| Duration | 245 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2023-01395_Vinnova |
Purpose and goal:
Within this proof-of-concept project, neutron and synchrotron X-ray data analysis software company Scatterin AB developed novel analysis algorithms to enhance performance and ease of use in Big Science data analysis. Expected results and effects:
The project enabled Scatterin to develop and test data analysis algorithms to achieve online analysis in proof-of-concept synchrotron X-ray measurements with minimum user input. The further development of technology will contribute to efficient industrial utilization of Big Science for addressing sustainability challenges.
Approach and implementation:
The developed data analysis algorithms have been tested in proof-of-concept experiments with big data originating from synchrotron X-ray experiments performed at different beamlines.
Scatterin Ab
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