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Title: Validation of Geant4’s G4NRF module against nuclear resonance fluorescence data from 238U and 27Al

Abstract

G4NRF (Jordan and Warren, 2007; Vavrek et al., 2018a,b) is a simulation module for modeling nuclear resonance fluorescence (NRF) interactions in the Geant4 framework (Allison et al., 2016). In this work, we validate G4NRF against both absolute and relative measurements of three NRF interactions near 2.2 MeV in 238U and 27Al using the transmission NRF data from the experiments described in Jayson et al. (2018). Agreement between the absolute NRF count rates observed in the data and predicted by extensive Geant4+G4NRF modeling validate the combined Geant4+G4NRF to approximately 15–20% in the 238U NRF transitions and 10% in 27Al, for an average 14% discrepancy across the entire study. The difference between simulation and experiment in relative NRF rates, as expressed as ratios of count rates in various NRF lines, is found at the level of ≲3%, and is statistically identical to zero. Finally, inverting the analysis, approximate values of the absolute level widths and branching ratios for 238U and 27Al are also obtained.

Authors:
 [1];  [1]; ORCiD logo [1]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). Dept. of Nuclear Science and Engineering
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1572870
Grant/Contract Number:  
AC02-05CH11231; NA0002534
Resource Type:
Accepted Manuscript
Journal Name:
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
Additional Journal Information:
Journal Volume: 459; Journal Issue: C; Journal ID: ISSN 0168-583X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; nuclear resonance flourescence; experimental validation; Geant4; G4NRF

Citation Formats

Vavrek, Jayson R., Henderson, Brian S., and Danagoulian, Areg. Validation of Geant4’s G4NRF module against nuclear resonance fluorescence data from 238U and 27Al. United States: N. p., 2019. Web. doi:10.1016/j.nimb.2019.08.034.
Vavrek, Jayson R., Henderson, Brian S., & Danagoulian, Areg. Validation of Geant4’s G4NRF module against nuclear resonance fluorescence data from 238U and 27Al. United States. doi:10.1016/j.nimb.2019.08.034.
Vavrek, Jayson R., Henderson, Brian S., and Danagoulian, Areg. Fri . "Validation of Geant4’s G4NRF module against nuclear resonance fluorescence data from 238U and 27Al". United States. doi:10.1016/j.nimb.2019.08.034.
@article{osti_1572870,
title = {Validation of Geant4’s G4NRF module against nuclear resonance fluorescence data from 238U and 27Al},
author = {Vavrek, Jayson R. and Henderson, Brian S. and Danagoulian, Areg},
abstractNote = {G4NRF (Jordan and Warren, 2007; Vavrek et al., 2018a,b) is a simulation module for modeling nuclear resonance fluorescence (NRF) interactions in the Geant4 framework (Allison et al., 2016). In this work, we validate G4NRF against both absolute and relative measurements of three NRF interactions near 2.2 MeV in 238U and 27Al using the transmission NRF data from the experiments described in Jayson et al. (2018). Agreement between the absolute NRF count rates observed in the data and predicted by extensive Geant4+G4NRF modeling validate the combined Geant4+G4NRF to approximately 15–20% in the 238U NRF transitions and 10% in 27Al, for an average 14% discrepancy across the entire study. The difference between simulation and experiment in relative NRF rates, as expressed as ratios of count rates in various NRF lines, is found at the level of ≲3%, and is statistically identical to zero. Finally, inverting the analysis, approximate values of the absolute level widths and branching ratios for 238U and 27Al are also obtained.},
doi = {10.1016/j.nimb.2019.08.034},
journal = {Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms},
number = C,
volume = 459,
place = {United States},
year = {2019},
month = {11}
}

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This content will become publicly available on November 15, 2020
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