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Title: Reducing statistical uncertainties in simulated organ doses of phantoms immersed in water

Abstract

In this study, methods are addressed to reduce the computational time to compute organ-dose rate coefficients using Monte Carlo techniques. Several variance reduction techniques are compared including the reciprocity method, importance sampling, weight windows and the use of the ADVANTG software package. For low-energy photons, the runtime was reduced by a factor of 10 5 when using the reciprocity method for kerma computation for immersion of a phantom in contaminated water. This is particularly significant since impractically long simulation times are required to achieve reasonable statistical uncertainties in organ dose for low-energy photons in this source medium and geometry. Although the MCNP Monte Carlo code is used in this paper, the reciprocity technique can be used equally well with other Monte Carlo codes.

Authors:
 [1];  [2];  [2];  [3];  [2];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Easterly Scientific, Knoxville, TN (United States)
  3. Georgia Inst. of Technology, Atlanta, GA (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Work for Others (WFO); USDOE
OSTI Identifier:
1356884
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Radiation Protection Dosimetry
Additional Journal Information:
Journal Volume: 174; Journal Issue: 4; Journal ID: ISSN 0144-8420
Publisher:
Oxford University Press
Country of Publication:
United States
Language:
English
Subject:
61 RADIATION PROTECTION AND DOSIMETRY

Citation Formats

Hiller, Mauritius M., Veinot, Kenneth G., Easterly, Clay E., Hertel, Nolan E., Eckerman, Keith F., and Bellamy, Michael B. Reducing statistical uncertainties in simulated organ doses of phantoms immersed in water. United States: N. p., 2016. Web. doi:10.1093/rpd/ncw240.
Hiller, Mauritius M., Veinot, Kenneth G., Easterly, Clay E., Hertel, Nolan E., Eckerman, Keith F., & Bellamy, Michael B. Reducing statistical uncertainties in simulated organ doses of phantoms immersed in water. United States. doi:10.1093/rpd/ncw240.
Hiller, Mauritius M., Veinot, Kenneth G., Easterly, Clay E., Hertel, Nolan E., Eckerman, Keith F., and Bellamy, Michael B. Sat . "Reducing statistical uncertainties in simulated organ doses of phantoms immersed in water". United States. doi:10.1093/rpd/ncw240. https://www.osti.gov/servlets/purl/1356884.
@article{osti_1356884,
title = {Reducing statistical uncertainties in simulated organ doses of phantoms immersed in water},
author = {Hiller, Mauritius M. and Veinot, Kenneth G. and Easterly, Clay E. and Hertel, Nolan E. and Eckerman, Keith F. and Bellamy, Michael B.},
abstractNote = {In this study, methods are addressed to reduce the computational time to compute organ-dose rate coefficients using Monte Carlo techniques. Several variance reduction techniques are compared including the reciprocity method, importance sampling, weight windows and the use of the ADVANTG software package. For low-energy photons, the runtime was reduced by a factor of 105 when using the reciprocity method for kerma computation for immersion of a phantom in contaminated water. This is particularly significant since impractically long simulation times are required to achieve reasonable statistical uncertainties in organ dose for low-energy photons in this source medium and geometry. Although the MCNP Monte Carlo code is used in this paper, the reciprocity technique can be used equally well with other Monte Carlo codes.},
doi = {10.1093/rpd/ncw240},
journal = {Radiation Protection Dosimetry},
number = 4,
volume = 174,
place = {United States},
year = {Sat Aug 13 00:00:00 EDT 2016},
month = {Sat Aug 13 00:00:00 EDT 2016}
}

Journal Article:
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