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  4. Breakthrough Performance with Context Constrained Radiation Measurements

Breakthrough Performance with Context Constrained Radiation Measurements

Noah Mcferran | 23-ERD-041

Executive Summary

We will develop new radiation detector algorithms and system designs that leverage a machine learning approach where training data can be limited in real time based on contextual information collected by non-radiation sensors or user observations. The real-time tuning of our machine learning analyses can dramatically improve performance of current and future radiation detector systems, and the machine learning developments will provide benchmarks to compare with other training data removal machine learning methods.

Publications, Presentations, and Patents

Curtis Chou,"Context to Context Constrained Analysis" (Presentation, Science Undergraduate Laboratory Intership Summer 2023. Lawrence Livermore National Laboratory, Livermore, CA, August 28, 2023). LLNL-PRES-853751.

Jonathan Dreyer, Noah McFerran, Bonnie Canion, and Steven Czyz,"Nuclear Security Physics" (Presentation, NACS Meet the Group Series, Lawrence Livermore National Laboratory, Livermore, CA, March 29, 2023). LLNL-PRES-846793.

Noah McFerran," Context Constrained Radiation Measurements LDRD" (Presentation, FY23 GS Review for 23-ERD-041, Lawrence Livermore National Laboratory, Livermore, CA, August 22, 2023). LLNL-PRES-853124.

—. 2023. "Contextually Aware Roadside Radiation Detection Systems," (Presentation, PLS Postdoctoral Researcher Seminar Series, Lawrence Livermore National Laboratory, Livermore, CA, February 22, 2023). LLNL-PRES-845424.

—. 2023. "Nuclear Threat Detection using Machine Learning" (Presentation, CWMD T&E Visit,  Lawrence Livermore National Laboratory, Livermore, CA, August 8, 2023). LLNL-PRES-853189.

Noah McFerran and Irene Kim, "Nuclear Threat Detection" (Presentation, 2023 Global Security Road Show, Lawrence Livermore National Laboratory, Livermore, CA, August 3, 2023). LLNL-PRES-846793.

McFerran, Noah, Eric Albin, Bonnie Canion, Steven Czyz, Jonathan Dreyer, Owen Drury, Dhanush Hangal, Simon Labov, Karl Nelson, and Erik Swanberg. 2023. "Contextually aware roadside radiation measurement testbed." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 1050: 168137. LLNL-JRNL-843225.