Literature DB >> 15671054

Adjoint acceleration of Monte Carlo simulations using TORT/MCNP coupling approach: a case study on the shielding improvement for the cyclotron room of the Buddhist Tzu Chi General Hospital.

R J Sheu1, R D Sheu, S H Jiang, C H Kao.   

Abstract

Full-scale Monte Carlo simulations of the cyclotron room of the Buddhist Tzu Chi General Hospital were carried out to improve the original inadequate maze design. Variance reduction techniques are indispensable in this study to facilitate the simulations for testing a variety of configurations of shielding modification. The TORT/MCNP manual coupling approach based on the Consistent Adjoint Driven Importance Sampling (CADIS) methodology has been used throughout this study. The CADIS utilises the source and transport biasing in a consistent manner. With this method, the computational efficiency was increased significantly by more than two orders of magnitude and the statistical convergence was also improved compared to the unbiased Monte Carlo run. This paper describes the shielding problem encountered, the procedure for coupling the TORT and MCNP codes to accelerate the calculations and the calculation results for the original and improved shielding designs. In order to verify the calculation results and seek additional accelerations, sensitivity studies on the space-dependent and energy-dependent parameters were also conducted.

Mesh:

Year:  2005        PMID: 15671054     DOI: 10.1093/rpd/nch454

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  1 in total

1.  DNA damage in lens epithelial cells exposed to occupationally-relevant X-ray doses and role in cataract formation.

Authors:  Ion Udroiu; Antonella Sgura; Agnese Chendi; Lorenzo Lasagni; Marco Bertolini; Federica Fioroni; Vando Piccagli; Antonio Moramarco; Maria Grazia Romano; Luigi Fontana; Daniela D'Alessio; Vicente Bruzzaniti; Antonella Rosi; Sveva Grande; Alessandra Palma; Claudia Giliberti; Mauro Iori; Lorenzo Piergallini; Marco Sumini; Lorenzo Isolan; Giorgio Cucchi; Gaetano Compagnone; Lidia Strigari
Journal:  Sci Rep       Date:  2020-12-10       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.