Abstract: A distributed sequential method and system for detecting and identifying radioactive contraband from highly uncertain (noisy) low-count, radionuclide measurements, i.e. an event mode sequence (EMS), using a statistical approach based on Bayesian inference and physics-model-based signal processing based on the representation of a radionuclide as a monoenergetic decomposition of monoenergetic sources. For a given photon event of the EMS, the appropriate monoenergy processing channel is determined using a confidence interval condition-based discriminator for the energy amplitude and interarrival time and parameter estimates are used to update a measured probability density function estimate for a target radionuclide.

Abstract: A networked computer system is configured to obtain case data from an online web portal dynamically and on-demand. Data acquisition modules can be configured to prefetch cases predicted to be of interest to users by a separate prediction module, and to resolve access control pages on the latter's behalf to reduce latency. The system also can be configured to exploit existing data connections to piggyback and retrieve additional data items likely to be of interest.

Abstract: A distributed sequential method and system for detecting and identifying radioactive contraband from highly uncertain (noisy) low-count, radionuclide measurements, i.e. an event mode sequence (EMS), using a statistical approach based on Bayesian inference and physics-model-based signal processing based on the representation of a radionuclide as a monoenergetic decomposition of monoenergetic sources. For a given photon event of the EMS, the appropriate monoenergy processing channel is determined using a confidence interval condition-based discriminator for the energy amplitude and interarrival time. If accepted the parameter values of the photon event are used to update the parameter values using an LKF for the energy amplitude and a bootstrap PF for the interarrival times. These parameter estimates are then used to update a measured probability density function estimate for a target radionuclide.