On Use of Multi-Chambered Fission Detectors for In-Core, Neutron Spectroscopy

Jeremy A. Roberts

doi:10.1051/epjconf/201817004020

All issues

Volume 170 (2018)

EPJ Web Conf., 170 (2018) 04020

References

Open Access

Issue		EPJ Web Conf. Volume 170, 2018 ANIMMA 2017 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications


Article Number		04020
Number of page(s)		5
Section		Research reactors
DOI		https://doi.org/10.1051/epjconf/201817004020
Published online		10 January 2018

C. Blandin, S. Breaud, L. Vermeeren, and M. Weber, “Development of New Sub-miniature Fission Chambers: Modelling and Experimental Tests,” Progress in Nuclear Energy, vol. 43, no. 1, pp. 349–355, 2003. [CrossRef] [Google Scholar]
D. S. McGregor, M. F. Ohmes, R. E. Ortiz, A. S. Ahmed, and J. K. Shultis, “Micro-pocket Fission Detectors (MPFD) for In-Core Neutron Flux monitoring,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 554, no. 1, pp. 494–499, 2005. [CrossRef] [Google Scholar]
M. A. Reichenberger, T. C. Unruh, P. B. Ugorowski, T. Ito, J. A. Roberts, S. R. Stevenson, D. M. Nichols, and D. S. McGregor, “Micro-Pocket Fission Detectors (MPFDs) for In-Vore Neutron Detection,” Annals of Nuclear Energy, vol. 87, pp. 318–323, 2016. [CrossRef] [Google Scholar]
J. K. Shultis, “Determining Axial Fuel-Rod Power-Density Profiles from In-Vore Neutron Glux Measurements,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 547, no. 2, pp. 663–-678, 2005. [CrossRef] [Google Scholar]
“National Nuclear Data Center,” https://www.nndc.bnl.gov/, accessed: 2017-07-03. [Google Scholar]
“Methods of steady-state reactor analysis in nuclear design.” [Google Scholar]
J. L. Mueller and S. Siltanen, Linear and Nonlinear Inverse Problems with Practical Applications. SIAM, 2012. [CrossRef] [Google Scholar]
S. Itoh and T. Tsunoda, “Neutron Spectra Unfolding with Maximum Entropy and Maximum Likelihood,” Journal of Nuclear Science and Technology, vol. 26, no. 9, pp. 833–843, 1989. [CrossRef] [Google Scholar]
T. Kaiba, V. Radulovic, D. Fourmentel, L. Barbot, C. Destouches, G. Zerovnik, and L. Snoj, “Calculations to Support to Online Neutron Spectrum Adjustment by Measurements with Miniature FissionChambers in the JSI TRIGA Reactor,” in Proc. of ANIMMA 2017. [Google Scholar]
M. Reginatto and P. Goldhagen, “MAXED, a Computer Code for Maximum Entropy Deconvolution of Multisphere Neutron Spectrometer Data.” Health Physics, vol. 77, no. 5, pp. 579–583, 1999. [CrossRef] [PubMed] [Google Scholar]
M. Reginatto, P. Goldhagen, and S. Neumann, “Spectrum Unfolding, Sensitivity Analysis and Propagation of Uncertainties with the Maximum Entropy Deconvolution Code MAXED,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 476, no. 1, pp. 242–246, 2002. [CrossRef] [Google Scholar]

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[1] C. Blandin, S. Breaud, L. Vermeeren, and M. Weber, “Development of New Sub-miniature Fission Chambers: Modelling and Experimental Tests,” Progress in Nuclear Energy, vol. 43, no. 1, pp. 349–355, 2003. [CrossRef] [Google Scholar]

[2] D. S. McGregor, M. F. Ohmes, R. E. Ortiz, A. S. Ahmed, and J. K. Shultis, “Micro-pocket Fission Detectors (MPFD) for In-Core Neutron Flux monitoring,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 554, no. 1, pp. 494–499, 2005. [CrossRef] [Google Scholar]

[3] M. A. Reichenberger, T. C. Unruh, P. B. Ugorowski, T. Ito, J. A. Roberts, S. R. Stevenson, D. M. Nichols, and D. S. McGregor, “Micro-Pocket Fission Detectors (MPFDs) for In-Vore Neutron Detection,” Annals of Nuclear Energy, vol. 87, pp. 318–323, 2016. [CrossRef] [Google Scholar]

[4] J. K. Shultis, “Determining Axial Fuel-Rod Power-Density Profiles from In-Vore Neutron Glux Measurements,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 547, no. 2, pp. 663–-678, 2005. [CrossRef] [Google Scholar]

[5] “National Nuclear Data Center,” https://www.nndc.bnl.gov/, accessed: 2017-07-03. [Google Scholar]

[6] “Methods of steady-state reactor analysis in nuclear design.” [Google Scholar]

[7] J. L. Mueller and S. Siltanen, Linear and Nonlinear Inverse Problems with Practical Applications. SIAM, 2012. [CrossRef] [Google Scholar]

[8] S. Itoh and T. Tsunoda, “Neutron Spectra Unfolding with Maximum Entropy and Maximum Likelihood,” Journal of Nuclear Science and Technology, vol. 26, no. 9, pp. 833–843, 1989. [CrossRef] [Google Scholar]

[9] T. Kaiba, V. Radulovic, D. Fourmentel, L. Barbot, C. Destouches, G. Zerovnik, and L. Snoj, “Calculations to Support to Online Neutron Spectrum Adjustment by Measurements with Miniature FissionChambers in the JSI TRIGA Reactor,” in Proc. of ANIMMA 2017. [Google Scholar]

[10] M. Reginatto and P. Goldhagen, “MAXED, a Computer Code for Maximum Entropy Deconvolution of Multisphere Neutron Spectrometer Data.” Health Physics, vol. 77, no. 5, pp. 579–583, 1999. [CrossRef] [PubMed] [Google Scholar]

[11] M. Reginatto, P. Goldhagen, and S. Neumann, “Spectrum Unfolding, Sensitivity Analysis and Propagation of Uncertainties with the Maximum Entropy Deconvolution Code MAXED,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 476, no. 1, pp. 242–246, 2002. [CrossRef] [Google Scholar]