Journal
PHYSICAL REVIEW E
Volume 95, Issue 2, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.95.023306
Keywords
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Categories
Funding
- plasma physics HEC Consortium, EPSRC Grant [EP/L000237/1]
- Central Laser Facility and the Computer Science Department at the Rutherford Appleton Laboratory
- Indonesian Endowment Fund for Education
- DFG [TR18 B9, KA 2869/2-1]
- BMBF [03Z1H531, 05K16SJC]
- OxCHEDS
- AWE plc.
- EPSRC [EP/L000237/1] Funding Source: UKRI
- STFC [ST/M007375/1, ST/L000423/1, AWAKE, ST/P002048/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [1378659, EP/L000237/1, 1507892] Funding Source: researchfish
- Science and Technology Facilities Council [ST/L000423/1 AWAKE, AWAKE, ST/P002048/1, ST/L000423/1, ST/M007375/1] Funding Source: researchfish
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Shadowgraphy is a technique widely used to diagnose objects or systems in various fields in physics and engineering. In shadowgraphy, an optical beam is deflected by the object and then the intensity modulation is captured on a screen placed some distance away. However, retrieving quantitative information from the shadowgrams themselves is a challenging task because of the nonlinear nature of the process. Here, we present a method to retrieve quantitative information from shadowgrams, based on computational geometry. This process can also be applied to proton radiography for electric and magnetic field diagnosis in high-energy-density plasmas and has been benchmarked using a toroidal magnetic field as the object, among others. It is shown that the method can accurately retrieve quantitative parameters with error bars less than 10%, even when caustics are present. The method is also shown to be robust enough to process real experimental results with simple pre- and postprocessing techniques. This adds a powerful tool for research in various fields in engineering and physics for both techniques.
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