| Literature DB >> 28297858 |
Muhammad Firmansyah Kasim1, Luke Ceurvorst2, Naren Ratan2, James Sadler2, Nicholas Chen2, Alexander Sävert3,4, Raoul Trines5, Robert Bingham5, Philip N Burrows1, Malte C Kaluza3,4, Peter Norreys2,5.
Abstract
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.Year: 2017 PMID: 28297858 DOI: 10.1103/PhysRevE.95.023306
Source DB: PubMed Journal: Phys Rev E ISSN: 2470-0045 Impact factor: 2.529