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DOE OSTI · 3363528

Monte Carlo simulation methodology for characterizing the energy response function and resolving power of a digital Flat Panel Detector (FPD) assembly

Abstract

The use of high-resolution, digital flat panel detectors (FPDs) makes quantitative assessments of radiographic and 3D tomographic representations feasible. However, the energy response function and spatial resolving power of the detector must be known. Here, we present a methodology for characterizing an FPD assembly using Monte Carlo simulations. The detector assembly modeled here was fielded in the 3-Ring Flash X-ray Imaging System designed and built at Lawrence Livermore National Laboratory (LLNL), which employs fifteen Carestream ® HPX-DR3543 FPDs enclosed in protective housings. Detailed Monte Carlo (MCNP6) simulations of an as-fielded detector assembly were performed to estimate its energy response function in terms of analog-to-digital unit (ADU) “counts” per pixel per incident x-ray as a function of energy up to ∼ 500 keV and its theoretical (idealized) resolving power. The practical resolving power of the FPD assembly in a realistic scenario was then estimated by simulating radiographic images of a variant of the United Kingdom (U.K.) “Kaleidoscope” resolution target.

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BibTeXRIS

Hardy, Anthony [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0009000752033428), Harke, Kathryn [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000151391177), Hall, James [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)], Alla, Sahithi [Univ. of Texas, Austin, TX (United States)], Wilson, Finnegan [Colorado School of Mines, Golden, CO (United States)], Eliasson, Veronica [Colorado School of Mines, Golden, CO (United States)] (ORCID:0000000151341399), Tringe, Joseph [Colorado School of Mines, Golden, CO (United States)] (ORCID:0000000317925432), Sullivan, Kyle [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)]. 2026-02-23. Monte Carlo simulation methodology for characterizing the energy response function and resolving power of a digital Flat Panel Detector (FPD) assembly. https://doi.org/10.1088/1748-0221%2F21%2F02%2Fp02043

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