Performance investigation of the pulse and Campbelling modes of a fission chamber using a Poisson pulse train simulation code

Elter, Zsolt; Jammes, C.; Pázsit, Imre; Пал, Л.; Filliatre, P.

doi:10.1016/j.nima.2014.11.065

Cited by 33 publications

(19 citation statements)

References 12 publications

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“…In order to systematize and unify these observations, a well-known reference model for intermittent fluctuations [30][31][32][33][34][35][36][37] has been introduced for SOL plasma fluctuations [38][39][40]. This model, called a shot noise process or filtered Poisson process (FPP), consists of a super-position of independent and identical pulse shapes with randomly distributed amplitudes, arriving according to a Poisson process.…”

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confidence: 99%

Probability distribution functions for intermittent scrape-off layer plasma fluctuations

Theodorsen

Garcia

2018

Plasma Phys. Control. Fusion

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A stochastic model for intermittent fluctuations in the scrape-off layer of magnetically confined plasmas has been constructed based on a super-position of uncorrelated pulses arriving according to a Poisson process. In the most common applications of the model, the pulse amplitudes are assumed exponentially distributed, supported by conditional averaging of large-amplitude fluctuations in experimental measurement data. This basic assumption has two potential limitations. First, statistical analysis of measurement data using conditional averaging only reveals the tail of the amplitude distribution to be exponentially distributed.Second, exponentially distributed amplitudes leads to a positive definite signal which cannot capture fluctuations in for example electric potential and radial velocity. Assuming pulse amplitudes which are not positive definite often make finding a closed form for the probability density function difficult, even if the characteristic function remains relatively simple. Thus estimating model parameters requires an approach based on the characteristic function, not the probability density function. In this contribution, the effect of changing the amplitude distribution on the moments, probability density function and characteristic function of the process is investigated and a parameter estimation method using the empirical distribution function is presented and tested on synthetically generated data. This proves valuable for describing intermittent fluctuations in the boundary region of magnetized plasmas.

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mentioning

confidence: 99%

Probability distribution functions for intermittent scrape-off layer plasma fluctuations

Theodorsen

Garcia

2018

Plasma Phys. Control. Fusion

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“…There is still room for improvement, the COSICAF database is still reduced but additional materials and heavy ions could be easily integrated. Campbell and current mode could also be simulated from the computed pulses with additional work [1], [21]. Even if the software assumes strong approximations, it was shown that for fission chamber signal, the quantitative results are in rather good agreement with the experimental ones.…”

Section: Discussionmentioning

confidence: 99%

“…Depending on the neutron flux and the ionisation chamber design, it is possible to operate such detector in three different modes [1]: pulse mode where pulses doesn't overlap; Campbell mode where pulses pile up but it is possible to link the count rate to signal variance; current mode, where the signal is high enough to produce a current proportional to the count rate [2].…”

Section: Introductionmentioning

confidence: 99%

COSICAF, a fission chamber simulation tool for academic purposes

et al. 2020

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Since a few years, simulation codes were built at CEA Cadarache to predict the signal of ionisation chambers and taylor detectors for specific applications. It is proposed here to present COSICAF, a tool developed for mainly academic purpose and rapid fission chamber prototyping. This numerical simulation, mostly based on semi-empirical models and Monte-Carlo method will help students to understand how ionisation chambers work. Through the paper, models and their numerical implementation will be discussed. A focus is made on recently implemented features like charge multiplication and correlated source which make the simulation of proportional counter possible. To demonstrate the interest of the code, simulations of a planar fission chamber is proposed.

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“…This reaction results in two high energy fission fragments (FF), around 166 MeV in total [10], which subsequently are emitted in opposite directions. One FF passes through the gas, whereas the other one is absorbed by the anode [11].…”

Section: Fission Chambers (Fc)mentioning

confidence: 99%

Neutron Flux Monitoring Based on Blind Source Separation Algorithms in Moroccan TRIGA MARK II Reactor

Arahmane

Hamzaoui

Moursli

2017

Science and Technology of Nuclear Installations

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We present an overview of fission chamber’s functioning modes, theoretical aspects of the nonnegative matrix factorization methods, and the opportunities that offer neutron data processing in order to achieve neutron flux monitoring tasks. Indeed, it is a part of research project that aimed at applying Blind Source Separation methods for in-core and ex-core neutron flux monitoring while analyzing the outputs of fission chamber. The latter could be used as a key issue for control, fuel management, safety concerns, and material irradiation experiments. The Blind Source Separation methods had been used in many scientific fields such as biomedical engineering and telecommunications. Recently, they were used for gamma spectrometry data processing. The originality of this research work is to apply these powerful methods to process the fission chamber output signals. We illustrated the effectiveness of this tool using simulated fission chamber signals.

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Performance investigation of the pulse and Campbelling modes of a fission chamber using a Poisson pulse train simulation code

Cited by 33 publications

References 12 publications

Probability distribution functions for intermittent scrape-off layer plasma fluctuations

Probability distribution functions for intermittent scrape-off layer plasma fluctuations

COSICAF, a fission chamber simulation tool for academic purposes

Neutron Flux Monitoring Based on Blind Source Separation Algorithms in Moroccan TRIGA MARK II Reactor

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