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Inverse radiation modelling for plant characterisation

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Inverse radiation modelling for plant characterisation. / Shippen, B.A.; Adams, J.; Joyce, M.J. et al.
2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). IEEE, 2012. p. 284-294.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Shippen, BA, Adams, J, Joyce, MJ & Mellor, MP 2012, Inverse radiation modelling for plant characterisation. in 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). IEEE, pp. 284-294. https://doi.org/10.1109/NSSMIC.2012.6551109

APA

Shippen, B. A., Adams, J., Joyce, M. J., & Mellor, M. P. (2012). Inverse radiation modelling for plant characterisation. In 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (pp. 284-294). IEEE. https://doi.org/10.1109/NSSMIC.2012.6551109

Vancouver

Shippen BA, Adams J, Joyce MJ, Mellor MP. Inverse radiation modelling for plant characterisation. In 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). IEEE. 2012. p. 284-294 doi: 10.1109/NSSMIC.2012.6551109

Author

Shippen, B.A. ; Adams, J. ; Joyce, M.J. et al. / Inverse radiation modelling for plant characterisation. 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC). IEEE, 2012. pp. 284-294

Bibtex

@inproceedings{2a13a44e0e67478ba31d5bd185b42b43,
title = "Inverse radiation modelling for plant characterisation",
abstract = "A requirement to actively manage radiation dose is often the biggest single constraint in activities associated with the operation and decommissioning of nuclear facilities. Often this management involves the minimisation of accrued dose for employees and contractors who work in the vicinity of the managed area. An important tool for evaluating the effectiveness of remediation of this dose is environmental modelling; however results are often inaccurate or misleading due to poor characterisation of the underlying source activity. In this paper we present a method for semi-automatically calculating source terms using an inverse modelling approach. This approach has been used as a basis for a new software package called N-Visage{\texttrademark} which has been used to demonstrate the performance of the method in both controlled experiments and real-world applications.",
author = "B.A. Shippen and J. Adams and M.J. Joyce and M.P. Mellor",
year = "2012",
doi = "10.1109/NSSMIC.2012.6551109",
language = "English",
isbn = "9781467320283",
pages = "284--294",
booktitle = "2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Inverse radiation modelling for plant characterisation

AU - Shippen, B.A.

AU - Adams, J.

AU - Joyce, M.J.

AU - Mellor, M.P.

PY - 2012

Y1 - 2012

N2 - A requirement to actively manage radiation dose is often the biggest single constraint in activities associated with the operation and decommissioning of nuclear facilities. Often this management involves the minimisation of accrued dose for employees and contractors who work in the vicinity of the managed area. An important tool for evaluating the effectiveness of remediation of this dose is environmental modelling; however results are often inaccurate or misleading due to poor characterisation of the underlying source activity. In this paper we present a method for semi-automatically calculating source terms using an inverse modelling approach. This approach has been used as a basis for a new software package called N-Visage™ which has been used to demonstrate the performance of the method in both controlled experiments and real-world applications.

AB - A requirement to actively manage radiation dose is often the biggest single constraint in activities associated with the operation and decommissioning of nuclear facilities. Often this management involves the minimisation of accrued dose for employees and contractors who work in the vicinity of the managed area. An important tool for evaluating the effectiveness of remediation of this dose is environmental modelling; however results are often inaccurate or misleading due to poor characterisation of the underlying source activity. In this paper we present a method for semi-automatically calculating source terms using an inverse modelling approach. This approach has been used as a basis for a new software package called N-Visage™ which has been used to demonstrate the performance of the method in both controlled experiments and real-world applications.

U2 - 10.1109/NSSMIC.2012.6551109

DO - 10.1109/NSSMIC.2012.6551109

M3 - Conference contribution/Paper

SN - 9781467320283

SP - 284

EP - 294

BT - 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC)

PB - IEEE

ER -