System and method for resolving gamma-ray spectra
A system for identifying radionuclide emissions is described. The system includes at least one processor for processing output signals from a radionuclide detecting device, at least one training algorithm run by the at least one processor for analyzing data derived from at least one set of known sample data from the output signals, at least one classification algorithm derived from the training algorithm for classifying unknown sample data, wherein the at least one training algorithm analyzes the at least one sample data set to derive at least one rule used by said classification algorithm for identifying at least one radionuclide emission detected by the detecting device.
1. A detector for detecting the presence of suspect radionuclides in a target, said detector comprising:
a first detection channel for a first detecting neutron emissions in the target and for providing a first output in accordance with the first detecting;
a second detection channel for a second detecting x-ray emissions in the target and for providing a second output in accordance with the second detecting;
a third detection channel for a third detecting and an identifying of gamma emissions in the target and for providing a third output in accordance with the third detecting and identifying;
a processor electrically coupled to each of said first, second, and third detection channels, said processor for receiving the first, second and third outputs, and comprising at least a first neuron layer for receiving at least a portion of the first, second and third outputs, a second neuron layer for receiving first processed data from the first neuron layer and that compares peaks in the first processed data to a plurality of radionuclide signatures, and a third neuron layer for receiving second processed data from the second neuron layer and the compares peaks in the second processed data to one or more adjusted radionuclide signatures;
and, wherein said processor determines if at least one suspect radionuclide is present in the target based on an output of either the first or third neuron layer and provides an alert when the suspect radionuclide is present in the target; and
wherein said processor determination occurs when said processor is exposed to a lower level of detection of about 10 .μRem/hr for a period of about one second.
2. The system according to claim 1 , wherein said system identifies the at least one suspect radionuclide in real-time.