2015
DOI: 10.2172/1210162
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ADVANTG An Automated Variance Reduction Parameter Generator, Rev. 1

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Cited by 72 publications
(14 citation statements)
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“…These calculations are all performed with MCNP 6.2 [3], table based cross section data based on ENDF/B-VII.1 [4], and the CEM nuclear model providing cross sections above the energy range of the table based cross sections. The standard SNS/STS flux-to-dose conversion factors are used [5], and variance reduction parameters are generated using ADVANTG [6]. More details about the computer hardware and software utilized by this study are provided in APPENDIX A.…”
Section: Methodology and Modelsmentioning
confidence: 99%
“…These calculations are all performed with MCNP 6.2 [3], table based cross section data based on ENDF/B-VII.1 [4], and the CEM nuclear model providing cross sections above the energy range of the table based cross sections. The standard SNS/STS flux-to-dose conversion factors are used [5], and variance reduction parameters are generated using ADVANTG [6]. More details about the computer hardware and software utilized by this study are provided in APPENDIX A.…”
Section: Methodology and Modelsmentioning
confidence: 99%
“…In the first step, neutron and prompt gamma-ray spectra at the opening to the KM6T line-of-sight were calculated. To obtain spectra with low statistical uncertainty, weight windows generated by code ADVANTG were used to speed up calculation [41]. In addition, the neutron and prompt gamma-ray spectra were only tallied in the direction along the KM6T line-of-sight, a 1 • spatial angle.…”
Section: Neutron Induced Gamma-ray Backgroundmentioning
confidence: 99%
“…The weight-window parameters were optimized for 47 neutron energy bins covering the range [10 −5 eV-17.3 MeV]. This evaluation was performed using the ADVANTG-3.2 tool [32], which uses the deterministic code DENOVO [33]. A set of optimized weight windows for both dosimeter locations (capsule and cavity) and for all reactions was generated using the forward-weighted CADIS method [34].…”
Section: Variance Reduction and Simulation Parametersmentioning
confidence: 99%