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February 2, 20260 citations

Compendium on Monte Carlo simulation of photoneutrons in the Giant Dipole Resonance energy range

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LGLouis GarnaudLSLuna SobczakJPJohann Piekar

Key Points

  • The aim is to model photoneutron production and transport accurately by using various simulation codes and nuclear data.
  • Utilization of three Monte Carlo codes: MCNP6®, PHITS, and TRIPOLI-4®
  • Coupling simulations with two nuclear data libraries: ENDF/B-VIII.1 and JENDL-5
  • Analysis of photon-induced neutron production across 49 elemental targets
  • Evaluation of key observables such as photoneutron currents, energy spectra, and angular distributions
  • Systematic evaluation of photoneutron production across a range of incident photon energies up to 30 MeV
  • Development of a dataset serving as a benchmark for simulation validation
  • Findings inform future improvements in photonuclear modeling and nuclear data

Abstract

Photoneutrons–neutrons produced through photonuclear reactions–play a critical role in radiation transport scenarios involving high-energy gamma sources, electron accelerators, and nuclear reactors. Accurate modeling of photoneutron production and transport is still a challenging problem, due to limitations in photonuclear data and the sensitivity of simulations to the choice of physics models. In this study, we present a comprehensive investigation of photoneutron generation using three state-of-the-art Monte Carlo codes–MCNP6®, PHITS, and TRIPOLI-4®–each coupled with two major nuclear data libraries: ENDF/B-VIII.1 and JENDL-5. Photon-induced neutron production is analyzed across 49 elemental targets for incident photon energies from the photonuclear threshold up to 30 MeV, encompassing the Giant Dipole Resonance (GDR) region. Key observables–photoneutron currents, energy spectra, and angular distributions–are systematically evaluated as a function of atomic number. The resulting dataset serves as a reference benchmark for simulation validation, informs future improvements in photonuclear modeling and nuclear data, and supports broader applications in theoretical and experimental nuclear physics.

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Cite This Study

Garnaud et al. (2026) studied this question.

synapsesocial.com/papers/6980fff5c1c9540dea812ea4https://doi.org/10.1051/epjn/2025078/pdf
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