Simultaneous Stochastic Approximation for the spectroscopic reconstruction of neutron distributions
作者： Neveen Shlayan , David Costa , Pushkin Kachroo , Eric Machorro , Aaron Luttman
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摘要: Various aspects of the neutron spectroscopy problem are studied in this research. Theoretically, emission transforms into a limited angle Radon transform problem. In order to solve ill posed problem, various algorithms tested spanning two different techniques; algebraic reconstruction as well Monte-Carlo methods. The developed Stochastic Gradient Approximation (SGA) method, Simultaneous Perturbation (SPSA) and Time Flight (TOF) method.
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