Sabia Inc.

Stephen James Foster

Clinton LaMar Lingren

James Francis Miller

David B Cook

Thomas Charles Dannemiller

Nichelle Diane Worthington

Abhinandan Sheshadri

Bradley Allen Moyer

Methods and systems are provided to improve PGNAA substance analyzers. In one aspect, an analyzer includes: a source of neutrons; an opening to receive a substance; a gamma ray detector; and computational device(s) configured to receive spectral data of detected gamma rays, perform a regression algorithm on the spectral data using spectral responses for known atomic elements to determine coefficients of spectrum, sum effective weight values (corresponding to the coefficients of spectrum) together to form a total effective weight value for the substance being analyzed, divide effective weight values by the total effective weight value for the substance to generate effective weight-percent values corresponding to two or more respective ones of the atomic elements detected in the spectral data, and generate final weight-percent values based on a correlation of previous effective weight-percent values obtained for known samples with elemental or molecular weight-percent values obtained for the known samples.

Weight-percent analysis for prompt gamma neutron activation substance analyzers

Methods and systems are provided to improve prompt gamma neutron activation substance analyzers. In one aspect, a detector unit for prompt gamma neutron activation analysis includes: a scintillator configured to fluoresce when impacted by gamma rays generated by absorption of neutrons by a substance to be analyzed; a photosensor configured to receive fluorescence from the scintillator; electronics coupled with the photosensor, the electronics configured to receive and process analog signals from the photosensor and output digital detection signals for the substance; and a housing containing the scintillator, the photosensor, and the electronics; wherein the housing includes interfaces configured to receive cables capable of providing power, temperature control, and digital communication signals.

Prompt gamma neutron activation substance analyzers

Methods and systems are provided to improve prompt gamma neutron activation substance analyzers. In one aspect, a substance analyzer unit includes: a source of neutrons; an opening arranged with respect to the source of neutrons to receive a substance; and a detector housing having (i) a detector configured and arranged to receive gamma rays generated by absorption of neutrons by the substance, and (ii) electronics coupled with the detector within the detector housing, wherein the electronics are configured to receive and process analog signals from the detector and output digital detection signals.

A substance analyzer utilizing Prompt Gamma Neutron Activation Analysis for identifying characteristics of a substance and method of manufacturing the same are disclosed. The analyzer is small enough to be portable and to allow its use in many applications where current analyzers cannot be utilized. The analyzer uses a neutron radiation source and a gamma-ray detector to activate the sample material and detect the prompt gamma rays emitted by the sample material. A novel housing for such an analyzer and method for making the housing are also described. Novel methods of operating such an analyzer including via a communications network are also disclosed. Also disclosed are data analysis methods that improve the accuracy and sensitivity of the results of such material analysis.

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Vista, CA, United States of America

Stephen James Foster