Direct inversion of deflectometry data using an electrostatic plasma model
ORAL
Abstract
J. R. Davies, P. V Heuer
Laboratory for Laser Energetics, Rochester, NY
A. F. A. Bott
Princeton University, Princeton, NJ
Deflectometry encompasses charged particle radiography and shadowgraphy. We propose a new method for the direct inversion of deflectometry data using an electrostatic plasma model, and compare it to a new Monge-Ampère code and an existing power-diagram code. The measured and source intensities are represented by fixed ions and mobile electrons subject to drag. The displacement of the electrons at equilibrium determines the path-integrated transverse deflection force. The decrease in energy provides a measure of convergence. We have implemented two approaches: PIC (particle in cell) and Lagrangian fluid. A series of test cases were run to validate and compare the algorithms. Only the PIC code obtained a solution to every case. The Monge--Ampère code was by far the fastest, but failed to converge for strong modulations. The power-diagram code was by far the slowest and failed to obtain a solution in cases with large peaks in the measured intensity, but was more accurate than the other codes for a test with a mesh placed between the source and the object.
Laboratory for Laser Energetics, Rochester, NY
A. F. A. Bott
Princeton University, Princeton, NJ
Deflectometry encompasses charged particle radiography and shadowgraphy. We propose a new method for the direct inversion of deflectometry data using an electrostatic plasma model, and compare it to a new Monge-Ampère code and an existing power-diagram code. The measured and source intensities are represented by fixed ions and mobile electrons subject to drag. The displacement of the electrons at equilibrium determines the path-integrated transverse deflection force. The decrease in energy provides a measure of convergence. We have implemented two approaches: PIC (particle in cell) and Lagrangian fluid. A series of test cases were run to validate and compare the algorithms. Only the PIC code obtained a solution to every case. The Monge--Ampère code was by far the fastest, but failed to converge for strong modulations. The power-diagram code was by far the slowest and failed to obtain a solution in cases with large peaks in the measured intensity, but was more accurate than the other codes for a test with a mesh placed between the source and the object.
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Presenters
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Jonathan R Davies
University of Rochester, UR-LLE, LLE, Laboratory for Laser Energetics, Laboratory for Laser Energetics, University of Rochester
Authors
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Jonathan R Davies
University of Rochester, UR-LLE, LLE, Laboratory for Laser Energetics, Laboratory for Laser Energetics, University of Rochester
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Peter V Heuer
Laboratory for Laser Energetics, Laboratory for Laser Energetics, University of Rochester
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Archie F Bott
Princeton University