Radiation Transport and Inversion Team

The Radiation Transport and Inverse Analysis Team has the dual goal of developing transport and inverse computational approaches that will be integrated into the overall framework for evaluating the contribution of novel detector technologies and associated algorithms to overall system performance. Here, developing state-of-the-art computational methods to simulate radiation transport capabilities allows us to predict how new ideas in detector designs and approaches to inference would fare in realistic situations without having to actually do experiments or relying on ad-hoc assumptions. The inverse problem methods we are investigating try to take a different look at the entirety of available data using statistical and mathematical ideas to tease out information that may not be obvious by looking at a single detector reading.

The fundamental directions of research for this team are (1) the development of a massively parallel deterministic radiation transport code PDT and its use in predicting realistic levels of radiation from containers or other objects that need to be assessed at border crossings; (2) the development of advanced numerical methods for the simulation of radiation; (3) the use of MCNP in predicting radiation levels and comparing them to the results we get with PDT; (4) the development of imaging methods that can process low level radiation to detect the presence or absence of HEU sources; and (5) the integration of information from various detectors and their interpretation as well as directions for nonlinear inversion strategies in the highly diffusive regime.

 

Research Subgroups:

  1. Deterministic Transport Computation
  2. Deterministic Transport Analysis
  3. Stochastic Radiative Transfer Computations
  4. Imaging
  5. Framework for Detection Scenarios