Integrating DICEBOX into G4CASCADE

In this work, we evaluate the performance of the DICEBOX code in modeling nuclear gamma-ray cascades following neutron capture, with a focus on its integration into the G4CASCADE simulation framework. DICEBOX is particularly useful in regions of high level density and for filling gaps in poorly defined nuclear level schemes. To benchmark its effectiveness, simulated gamma spectra were compared to experimental data and other nuclear models using residuals and spectral trends. DICEBOX shows strong performance in mid-energy regions and for isotopes with high nucleon numbers, such as Gadolinium and Xenon, though it underestimates transitions from high-energy levels. This limitation, however, does not preclude its use, as relative intensities can be re-normalized. In isotopes with sparse level schemes, such as Silicon, DICEBOX offers valuable predictions for otherwise undefined transitions. The model's flexibility, including nuclear and supra-realizations, allows it to capture statistical variations in nuclear decay. Future integration into G4CASCADE will enable selective model application and improved treatment of incomplete decay data. This work highlights DICEBOX’s utility in refining nuclear background modeling for experimental simulations and detector studies.

Publication Details

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Scholarship @ Claremont (The Claremont Colleges)
Published
2025-01-01
Primary Topic
Nuclear physics research studies
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article
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article

Integrating DICEBOX into G4CASCADE

Scholarship @ Claremont (The Claremont Colleges)
Nuclear physics research studies
article

Integrating DICEBOX into G4CASCADE

article en

Abstract

In this work, we evaluate the performance of the DICEBOX code in modeling nuclear gamma-ray cascades following neutron capture, with a focus on its integration into the G4CASCADE simulation framework. DICEBOX is particularly useful in regions of high level density and for filling gaps in poorly defined nuclear level schemes. To benchmark its effectiveness, simulated gamma spectra were compared to experimental data and other nuclear models using residuals and spectral trends. DICEBOX shows strong performance in mid-energy regions and for isotopes with high nucleon numbers, such as Gadolinium and Xenon, though it underestimates transitions from high-energy levels. This limitation, however, does not preclude its use, as relative intensities can be re-normalized. In isotopes with sparse level schemes, such as Silicon, DICEBOX offers valuable predictions for otherwise undefined transitions. The model's flexibility, including nuclear and supra-realizations, allows it to capture statistical variations in nuclear decay. Future integration into G4CASCADE will enable selective model application and improved treatment of incomplete decay data. This work highlights DICEBOX’s utility in refining nuclear background modeling for experimental simulations and detector studies.

Scholarship @ Claremont (The Claremont Colleges)
Openalex Percentile: Top 75%
Nuclear physics research studies
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Integrating DICEBOX into G4CASCADE · Scholarship @ Claremont (The Claremont Colleges) (2025) | TGRS Research Map | TGRS