ADVANTG An Automated Variance Reduction Parameter Generator, Rev. 1

Mosher, Scott W.¹  Johnson, Seth R.¹  Bevill, Aaron M.¹  Ibrahim, Ahmad M.¹  Daily, Charles R.¹  Evans, Thomas M.¹  Wagner, John C.¹  Johnson, Jeffrey O.¹  Grove, Robert E.¹ 

[1]Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

关键词: ADVANTG;    Hybrid Monte Carlo;    MCNP;   

DOI  :  10.2172/1210162
RP-ID  :  ORNL/TM--2013/416 Rev. 1
PID  :  OSTI ID: 1210162
Others  :  Other: 453040124

美国|英语

来源: SciTech Connect

【 摘 要 】

The primary objective of ADVANTG is to reduce both the user effort and the computational time required to obtain accurate and precise tally estimates across a broad range of challenging transport applications. ADVANTG has been applied to simulations of real-world radiation shielding, detection, and neutron activation problems. Examples of shielding applications include material damage and dose rate analyses of the Oak Ridge National Laboratory (ORNL) Spallation Neutron Source and High Flux Isotope Reactor (Risner and Blakeman 2013) and the ITER Tokamak (Ibrahim et al. 2011). ADVANTG has been applied to a suite of radiation detection, safeguards, and special nuclear material movement detection test problems (Shaver et al. 2011). ADVANTG has also been used in the prediction of activation rates within light water reactor facilities (Pantelias and Mosher 2013). In these projects, ADVANTG was demonstrated to significantly increase the tally figure of merit (FOM) relative to an analog MCNP simulation. The ADVANTG-generated parameters were also shown to be more effective than manually generated geometry splitting parameters.