Efficient Monte Carlo simulation of delayed activation analysis experiments

Bencardino, R.; Roach, Greg; Tickner, James; Uher, J.

doi:10.1016/j.nimb.2009.11.008

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…To overcome these sources of uncertainty, we use a hybrid simulation/empirical calibration method. First, a detailed simulation of the irradiation and measurement process is carried out using the EGSnrc Monte Carlo code [16], following the method described in [17]. The Monte Carlo approach tracks individual X-rays and gamma-rays through a detailed, 3-dimensional model of the analyzer, which includes the radiation source, sample, detector systems, and shielding and support structures.…”

Section: Composition Analysismentioning

confidence: 99%

Measurement of Gold and Other Metals in Electronic and Automotive Waste Using Gamma Activation Analysis

Tickner

Rajarao

Lovric

et al. 2016

J. Sustain. Metall.

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CSIRO is developing the method of gamma activation analysis (GAA) for the rapid, non-destructive analysis of gold and other metals in mineral ores. Samples are irradiated with high-energy X-rays produced using a linear electron accelerator, resulting in activation of target elements. The gamma-rays emitted during the decays of the radioactive products of these activation reactions can be analyzed to determine the sample composition. Both the incident X-rays and emitted gamma-rays are sufficiently penetrating to allow large, heterogeneous samples to be analyzed directly without sampling or pre-treatment. We have recently conducted a preliminary study to investigate the application of the GAA method to the analysis of bulk electronic and automotive waste materials supplied by the SMaRT Centre at the University of New South Wales. The electronic waste gold contents vary from 80 to more than 800 parts-per-million (ppm), and silver contents range from 250-350 ppm; no gold or silver is observed in the automotive waste material. Consequently, the metal value of these waste materials is highly variable and can reach up to US$30,000 per tonne. Qualitative analysis demonstrates that the GAA method is capable of detecting a range of other economically and environmentally important elements in these samples, including copper, bromine, tin, lead, and tantalum. The speed and simplicity of the GAA method make it well suited to rapid waste characterization. Keywords Electronic waste Á Automotive waste Á Gold Á Precious metals Á Toxic elements Á Gamma activation analysis The contributing editor for this article was Yiannis Pontikes.

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Section: Composition Analysismentioning

confidence: 99%

Measurement of Gold and Other Metals in Electronic and Automotive Waste Using Gamma Activation Analysis

Tickner

Rajarao

Lovric

et al. 2016

J. Sustain. Metall.

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“…Once again, we use detailed Monte Carlo simulations (Bencardino et al, 2010) to identify the optimal analyser design.…”

Section: Gamma Activation Analysis Of Goldmentioning

confidence: 99%

Analysis of precious metals at parts-per-billion levels in industrial applications

Tickner

O’Dwyer

Roach

et al. 2015

Radiation Physics and Chemistry

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“…8) Source modeling includes gamma-ray cascade coincidences, X-ray and electron or positron emission. 9) Functions are provided to calculate continuum X-ray emission spectra for X-ray tube or high-energy LINAC based sources using the analytical models of Refs. 10) and 11).…”

Section: Source Materials and Tally Librariesmentioning

confidence: 99%

Massively Parallel Monte Carlo:Experiences Running Nuclear Simulations on a Large Condor Cluster

Tickner

Hitchen

O’Dwyer

2011

Progress in Nuclear Science and Technology

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The trivially-parallel nature of Monte Carlo (MC) simulations make them ideally suited for running on a distributed, heterogeneous computing environment. We report on the setup and operation of a large, cycle-harvesting Condor computer cluster, used to run MC simulations of nuclear instruments ('jobs') on approximately 4,500 desktop PCs. Successful operation must balance the competing goals of maximizing the availability of machines for running jobs whilst minimizing the impact on users' PC performance. This requires classification of jobs according to anticipated run-time and priority and careful optimization of the parameters used to control job allocation to host machines. To maximize use of a large Condor cluster, we have created a powerful suite of tools to handle job submission and analysis, as the manual creation, submission and evaluation of large numbers (hundred to thousands) of jobs would be too arduous. We describe some of the key aspects of this suite, which has been interfaced to the well-known MCNP and EGSnrc nuclear codes and our in-house PHOTON optical MC code. We report on our practical experiences of operating our Condor cluster and present examples of several large-scale instrument design problems that have been solved using this tool.

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Efficient Monte Carlo simulation of delayed activation analysis experiments

Cited by 7 publications

References 4 publications

Measurement of Gold and Other Metals in Electronic and Automotive Waste Using Gamma Activation Analysis

Measurement of Gold and Other Metals in Electronic and Automotive Waste Using Gamma Activation Analysis

Analysis of precious metals at parts-per-billion levels in industrial applications

Massively Parallel Monte Carlo:Experiences Running Nuclear Simulations on a Large Condor Cluster

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