Delayed gamma power measurement for sodium-cooled fast reactors

Coulon, Romain; Normand, S.; Ban, G.; Barat, Éric; Montagu, T.; Dautremer, Thomas; Brau, Henri‐Pierre; Dumarcher, V.; Michel, Maugan; Barbot, L.; Domenech, T.; Boudergui, Karim; Bourbotte, J.-M.; Jousset, P.; Giechaskiel, Barouch; Ravaux, S.; Carrel, F.; Saurel, N.; Frelin-Labalme, A.M.; Hamrita, H.; Kondrasovs, Vladimir

doi:10.1016/j.nucengdes.2010.10.002

Cited by 14 publications

(4 citation statements)

References 4 publications

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“…Fig. 16 shows a row temporal gamma spectrum obtained during a clad failure experiment conducted at the OSIRIS testing reactor where an elementary integration time equal to 5 s is considered [15][16]. The large fluctuations induced difficulties for the fitting of the Gaussian peak required to quantify isotope activities.…”

Section: Discussionmentioning

confidence: 99%

Nuclear counting filter based on a Centered Skellam Test and a double Exponential Smoothing

Coulon

Kondrasovs

Dumazert

et al. 2015

2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and Their Applications (ANIMMA

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Section: Discussionmentioning

confidence: 99%

Nuclear counting filter based on a Centered Skellam Test and a double Exponential Smoothing

Coulon

Kondrasovs

Dumazert

et al. 2015

2015 4th International Conference on Advancements in Nuclear Instrumentation Measurement Methods and Their Applications (ANIMMA

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“…It could then address a large industrial application field as process monitoring, area monitoring, portable monitoring, and embedded detection [6] [7] [8].…”

Section: Discussionmentioning

confidence: 99%

An adaptive smoother for counting measurements

Kondrasovs

Coulon

Normand

2013

2013 3rd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and Their Applications (ANIMM

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Counting measurements associated with nuclear instruments are tricky to carry out due to the stochastic process of the radioactivity. Indeed events counting have to be processed and filtered in order to display a stable count rate value and to allow variations monitoring in the measured activity. Smoothers (as the moving average) are adjusted by a time constant defined as a compromise between stability and response time.A new approach has been developed and consists in improving the response time while maintaining count rate stability. It uses the combination of a smoother together with a detection filter. A memory of counting data is processed to calculate several count rate estimates using several integration times. These estimates are then sorted into the memory from short to long integration times. A measurement position, in terms of integration time, is then chosen into this memory after a detection test.An inhomogeneity into the Poisson counting process is detected by comparison between current position estimate and the other estimates contained into the memory in respect with the associated statistical variance calculated with homogeneous assumption. The measurement position (historical time) and the ability to forget an obsolete data or to keep in memory a useful data are managed using the detection test result.The proposed smoother is then an adaptive and a learning algorithm allowing an optimization of the response time while maintaining measurement counting stability and converging efficiently to the best counting estimate after an effective change in activity. This algorithm has also the specificity to be low recursive and thus easily embedded into DSP electronics based on FPGA or micro-controllers meeting "real life" time requirements.

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“…Although the intrinsic Peak-to-Compton ratio of the primary spectrometer (HPGe, in some cases LaBr3) may be high, there are measurement environments under which the impact of this continuum may be prohibitive. Two signal-to-noise ratio (SNR) configurations are paradigmatic of these impediments: 1) the need to detect low-activity nuclear fuel under average natural radiological background, as in the case of waste container characterization [7], wide-area decommissioning [8], environmental monitoring, and 2) in nuclear reactor environments [9] [10]. In both cases, the random fluctuation level of the Compton baseline with respect to the FEP signal degrades the detection limit of the spectrometry chain, thus preventing adequate and swift countermeasure.…”

Section: Introductionmentioning

confidence: 99%