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DOE OSTI · 3364019

Demonstration of Algorithm for Sensor Placement Optimization using Simulation Data

Wang, Haoyu [Argonne National Laboratory (ANL), Argonne, IL (United States)]·Ponciroli, Roberto [Argonne National Laboratory (ANL), Argonne, IL (United States)]·Vilim, Richard B. [Argonne National Laboratory (ANL), Argonne, IL (United States)]·Theos, Vasileios [Purdue Univ., West Lafayette, IN (United States)]·Lau, Jonah [Purdue Univ., West Lafayette, IN (United States)]·Chatzidakis, Stylianos [Purdue Univ., West Lafayette, IN (United States)]
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Abstract

This deliverable reports FY26 progress in advancing a neural-network-based Green’s-function framework for reconstructing neutron-flux distributions from ex-core measurements and for translating reconstruction requirements into a practical detector-layout strategy. Building on the FY25 formulation, the present work had two main objectives: (1) refine and re-evaluate the reconstruction methodology on an updated Purdue University Reactor Number One (PUR-1) model, and (2) develop a systematic, Green’s-function-guided procedure for boundary detector placement.

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Wang, Haoyu [Argonne National Laboratory (ANL), Argonne, IL (United States)], Ponciroli, Roberto [Argonne National Laboratory (ANL), Argonne, IL (United States)], Vilim, Richard B. [Argonne National Laboratory (ANL), Argonne, IL (United States)], Theos, Vasileios [Purdue Univ., West Lafayette, IN (United States)], Lau, Jonah [Purdue Univ., West Lafayette, IN (United States)], Chatzidakis, Stylianos [Purdue Univ., West Lafayette, IN (United States)]. 2026-03-01. Demonstration of Algorithm for Sensor Placement Optimization using Simulation Data. https://doi.org/10.2172/3364019

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