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Nuclear resonance fluorescence (NRF) is a photonuclear interaction thatenables highly isotope-specific measurements in both pure and applied physicsscenarios. High-accuracy design and analysis of NRF measurements in complexgeometries is aided by Monte Carlo simulations of photon physics and transport,motivating Jordan and Warren (2007) to develop the G4NRF codebase for NRFsimulation in Geant4. In this work, we enhance the physics accuracy of theG4NRF code and perform improved benchmarking simulations. The NRF cross sectioncalculation in G4NRF, previously a Gaussian approximation, has been replacedwith a full numerical integration for improved accuracy in thick-targetscenarios. A high-accuracy semi-analytical model of expected NRF count rates ina typical NRF measurement is then constructed and compared against G4NRFsimulations for both simple homogeneous and more complex heterogeneousgeometries. Agreement between rates predicted by the semi-analytical model andG4NRF simulation is found at a level of ${\sim}1\%$ in simple test cases and${\sim}3\%$ in more realistic scenarios, improving upon the ${\sim}20\%$ levelof the initial benchmarking study and establishing a highly-accurate NRFframework for Geant4.

High-accuracy Geant4 simulation and semi-analytical modeling of nuclear resonance fluorescence