Simultaneous Stochastic Approximation for the spectroscopic reconstruction of neutron distributions

Author

Shlayan, Neveen ; Costa, David ; Kachroo, Pushkin ; Machorro, Eric ; Luttman, Aaron

Author_Institution

Dept. of Electr. Eng., State Univ. of New York- Maritime, New York, NY, USA

fYear

2013

fDate

10-13 Dec. 2013

Firstpage

5351

Lastpage

5356

Abstract

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.

Keywords

Monte Carlo methods; approximation theory; gradient methods; image reconstruction; neutron spectroscopy; stochastic processes; time of flight spectroscopy; Monte Carlo method; SGA method; SPSA method; TOF method; algebraic reconstruction method; neutron distribution; neutron emission problem; neutron spectroscopy problem; simultaneous perturbation stochastic approximation method; stochastic gradient approximation method; time of flight method; Approximation methods; Detectors; Image reconstruction; Monte Carlo methods; Neutrons; Spectroscopy; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on

Conference_Location

Firenze

ISSN

0743-1546

Print_ISBN

978-1-4673-5714-2

Type

conf

DOI

10.1109/CDC.2013.6760731

Filename

6760731