Simultaneous Stochastic Approximation for the spectroscopic reconstruction of neutron distributions

Various aspects of the neutron spectroscopy problem are studied in this research. Theoretically, the neutron emission problem transforms into a limited angle Radon transform problem. In order to solve this ill posed problem, various algorithms are tested spanning two different techniques; algebraic reconstruction as well as Monte-Carlo methods. The developed algorithms are Stochastic Gradient Approximation (SGA) method, Simultaneous Perturbation Stochastic Approximation (SPSA) method, and Time of Flight (TOF) method.