Multifaceted radiation detection and classification system
US-11009622-B2 · May 18, 2021 · US
US11513253B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11513253-B2 |
| Application number | US-202117184171-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 24, 2021 |
| Priority date | May 18, 2018 |
| Publication date | Nov 29, 2022 |
| Grant date | Nov 29, 2022 |
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A system identifying a source of radiation is provided. The system includes a radiation source detector and a radiation source identifier. The radiation source detector receives measurements of radiation; for one or more sources, generates a detection metric indicating whether that source is present in the measurements; and evaluates the detection metrics to detect whether a source is present in the measurements. When the presence of a source in the measurements is detected, the radiation source identifier for one or more sources, generates an identification metric indicating whether that source is present in the measurements; generates a null-hypothesis metric indicating whether no source is present in the measurements; evaluates the one or more identification metrics and the null-hypothesis metric to identify the source, if any, that is present in the measurements.
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We claim: 1. A method performed by a computing system for estimating a background histogram of background counts based on measurement histograms of measurement counts of measurements collected to detect presence of a source reflected within the measurements, the method comprising: accessing basis vectors of histograms that span a linear combination of prior background histograms derived from prior measurement histograms; calculating a current background histogram based on the current measurement histograms; determining whether the current background histogram has at least a specified degree of association with or disassociation with a basis vector; upon determining that the current background histogram has at least a specified degree of association with or disassociation with a basis vector, modifying the basis vectors based on the current background histogram; after modifying the basis vectors, adjusting the basis vectors to increase diversity; computing a background radiation based on the basis vectors; and detecting a source of radiation based on the computed background radiation. 2. The method of claim 1 wherein the adjusting attempts to maximize eigenvalues associated with a correlation matrix formed by the basis vectors. 3. The method of claim 1 further comprising applying a detection algorithm to detect presence of the source in a target measurement factoring the adjusted basis vectors. 4. The method of claim 1 wherein the source is a source of radiation. 5. The method of claim 1 wherein the prior measurement histograms are predefined histograms. 6. The method of claim 1 wherein the prior measurement histograms include histograms collected during a same collection process as and prior to generating the current measurement histogram. 7. The method of claim 1 wherein the prior measurement histograms not collected during the same collection process. 8. One or more computing systems for estimating a background spectral shape of background counts based on measurement spectral shapes of measurements collected to detect presence of a source spectral shape of a source within the measurements, the one or more computing systems comprising: one or more computer-readable storage mediums for storing computer-executable instructions for controlling the one or more computing systems to: access basis vectors that span a linear combination of prior background spectral shapes derived from prior measurement spectral shapes; calculate a current background spectral shape for a sequence of current measurement spectral shapes; determine whether the current background spectral shape has at least a specified degree of association with or disassociation with a basis vector; upon determining that the current background spectral shape has the specified degree of association with or disassociation with a basis vector, modify that basis vector based on the current background spectral shape; after modifying that basis vector, adjust the basis vectors to increase diversity; computing a background radiation based on the basis vectors; and detecting a source of radiation based on the computed background radiation; and one or more processors for executing the computer-executable instructions stored in the one or more computer-readable storage mediums. 9. The one or more computing systems of claim 8 wherein instructions that adjust attempt to maximize eigenvalues association with a correlation matrix formed by the basis vectors. 10. The one or more computing systems of claim 8 wherein the instructions further apply a detection algorithm to detect presence of the source in a target measurement factoring the adjusted basis vectors. 11. The one or more computing systems of claim 8 wherein the source is a source of radiation. 12. The one or more computing systems of claim 8 wherein the prior measurement histograms are predefined histograms. 13. The one or more computing systems of claim 8 wherein the prior measurement spectral shapes include spectral shapes collected during a same collection process and prior to generating the current measurement spectral shape. 14. The one or more computing systems of claim 8 wherein the prior measurement spectral shapes are not collected during the same collection process. 15. The one or more computing systems of claim 8 wherein the computer-executable instructions include instructions to suppress the modifying of the basis vector and updating the basis vectors when the background measurements do not change for a duration. 16. The one or more computing systems of claim 8 wherein the background measurements are queued until there is a change in the spectral shape of a background measurement. 17. The one or more computing systems of claim 8 wherein the background measurements are queued until a minimum time has elapsed. 18. The one or more computing systems of claim 8 wherein the spectral shapes are represented by histograms.
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Physics · mapped topic
Physics · mapped topic
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