Apparatus and process for optimizing radiation detection counting times using machine learning

A method to reduce counting times in radiation detection systems, the method comprising:

• analyzing output data in real-time by collecting time-stamped counting data from a multi-channel analyzer, wherein the output data are from a detector which is to detect a target material from a target body;
• identifying a material of interest from the analyzed output data;
• and
• controlling a source of the target material to reduce the counting times.

A system comprising:

• a radiation source to radiate a target material;
• a detector to detect the target material in real-time and to provide output data;
• and
• a processor coupled to the detector, wherein the processor is to:
• analyze the output data in real-time, wherein the processor is to collect time-stamped counting data from a multi-channel analyzer to analyze the output data;
• identify a material of interest from the analyzed output data;
• and
• control a source of the target material;
• and
• a display to display the analyzed output data.