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Ascertaining directionality information

Brian C. Archambault, Joseph R. Lapinskas

2026ennuclear detectionneutron directionalitymetastable fluidsacoustic sensorsMonte Carlo simulationhomeland security

Abstract

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Unprecedented capabilities for the detection of nuclear particles via tailored resonant acoustic systems such as the acoustic tensioned metastable fluid detection (ATMFD) systems were assessed for determining directionality of incoming fast neutrons. This paper presents advancements that expand on these accomplishments, thereby increasing the accuracy and precision of ascertaining directionality information utilizing enhanced signal processing-cum-signal analysis, refined computational algorithms, and on demand enlargement of the detector sensitive volume. Advances in the development of ATMFD systems were accomplished utilizing a combination of experimentation and theoretical modeling. Modeling methodologies include Monte-Carlo based nuclear particle transport using MCNP5 and multi-physics based assessments accounting for acoustic, structural, and electromagnetic coupling of the ATMFD system via COMSOL’s multi-physics simulation platform. Benchmarking and qualification studies have been conducted with a 1 Ci Pu–Be neutron-gamma source. These results show that the specific ATMFD system used for this study can enable detection of directionality of incoming fast neutrons from the neutron source to within 30◦ with 80% confidence; this required ∼2000 detection events which could be collected within ∼50 s at a detection rate of ∼30–40 per second. Blind testing was successfully conducted for determining the neutron source randomly positioned in space. Results of experimentation were found to be compatible with MCNP5-COMSOL multi-physics model predictions.

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Cite This Work

@article{fd230b8e-a454-433b-ad06-ee67f0a09b18,
  title={Ascertaining directionality information},
  author={Brian C. Archambault and Joseph R. Lapinskas},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Ascertaining directionality information
AU  - Brian C. Archambault
AU  - Joseph R. Lapinskas
PY  - 2026
LA  - en
ER  -

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