Optimizing Nuclear Reaction Analysis (NRA) using Bayesian Experimental Design

Details Optimizing Nuclear Reaction Analysis (NRA) using Bayesian Experimental Design Optimizing Nuclear Reaction Analysis (NRA) using Bayesian Experimental Design

2008-12-19

arxiv.org/abs/0812.3789v1

Physics

Accelerator Physics

Bayesian Inference and Maximum Entropy Conference 2008, AIP Conference proceedings 1073, p. 348-358, 4 figures

Scientific paper

10.1063/1.3039019

Nuclear Reaction Analysis with ${}^{3}$He holds the promise to measure Deuterium depth profiles up to large depths. However, the extraction of the depth profile from the measured data is an ill-posed inversion problem. Here we demonstrate how Bayesian Experimental Design can be used to optimize the number of measurements as well as the measurement energies to maximize the information gain. Comparison of the inversion properties of the optimized design with standard settings reveals huge possible gains. Application of the posterior sampling method allows to optimize the experimental settings interactively during the measurement process.

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