Multifaceted radiation detection and classification system
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.
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.