PreprintarXiv licencearXiv
The efficiency of moderating neutron detector: Monte Carlo simulation, experimental validation, and angular dependence
Abstract
This paper describes the Monte Carlo simulation and experimental validation of the neutron detection efficiency in a 4pi polyethylene moderating detector. The experimental validation was performed using several sources providing neutron energies from 10s of keV up to 14 MeV. The Monte Carlo simulations employed the MCNP6 code are believed to be accurate within 3% for neutron energies below 6 MeV. A new method for parametrizing the dependence of the efficiency on the neutron angular distribution for in-beam experiments is also presented. This approach utilizes a Legendre decomposition of the efficiency and allows all of the needed information to be extracted from a single simulation.
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BibTeX
@misc{brune2026efficiency,
title = {{The efficiency of moderating neutron detector: Monte Carlo simulation, experimental validation, and angular dependence}},
author = {Carl R. Brune},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.35785},
eprint = {2609.35785},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.35785},
}
RIS
TY - UNPB
TI - The efficiency of moderating neutron detector: Monte Carlo simulation, experimental validation, and angular dependence
AU - Carl R. Brune
PY - 2026
DA - 2026/09/01
PB - arXiv
DO - 10.48550/arxiv.2609.35785
UR - https://arxiv.org/abs/2609.35785
AB - This paper describes the Monte Carlo simulation and experimental validation of the neutron detection efficiency in a 4pi polyethylene moderating detector. The experimental validation was performed using several sources providing neutron energies from 10s of keV up to 14 MeV. The Monte Carlo simulations employed the MCNP6 code are believed to be accurate within 3% for neutron energies below 6 MeV. A new method for parametrizing the dependence of the efficiency on the neutron angular distribution for in-beam experiments is also presented. This approach utilizes a Legendre decomposition of the efficiency and allows all of the needed information to be extracted from a single simulation.
ER -