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Dive into the research topics where Dina Chernikova is active.

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Featured researches published by Dina Chernikova.


soft computing | 2013

Pulse shape discrimination of neutrons and gamma rays using Kohonen artificial neural networks

Tatiana Tambouratzis; Dina Chernikova; Imre Pzsit

Abstract The potential of two Kohonen artificial neural networks I ANNs) - linear vector quantisa - tion (LVQ) and the self organising map (SOM) - is explored for pulse shape discrimination (PSD), i.e. for distinguishing between neutrons (ns) and gamma rays (γ’s). The effect that la) the energy level, and lb) the relative- of the training and lest sets, have on iden- tification accuracy is also evaluated on the given PSD datasel The two Kohonen ANNs demonstrate compfcmentary discrimination ability on the training and test sets: while the LVQ is consistently mote accurate on classifying the training set. the SOM exhibits higher n/γ identification rales when classifying new paltms regardless of the proportion of training and test set patterns at the different energy levels: the average tint: for decision making equals ∼100 /e in the cax of the LVQ and ∼450 μs in the case of the SOM.


European Physical Journal Plus | 2012

Two-point theory for the differential self-interrogation Feynman-alpha method

Johan Anderson; Dina Chernikova; Imre Pázsit; Lénárd Pál; Sara A. Pozzi

A Feynman-alpha formula has been derived in a two region domain pertaining the stochastic differential self-interrogation (DDSI) method and the differential die-away method (DDAA). Monte Carlo simulations have been used to assess the applicability of the variance to mean through determination of the physical reaction intensities of the physical processes in the two domains. More specifically, the branching processes of the neutrons in the two regions are described by the Chapman-Kolmogorov equation, including all reaction intensities for the various processes, that is used to derive a variance to mean relation for the process. The applicability of the Feynman-alpha or variance to mean formulae are assessed in DDSI and DDAA of spent fuel configurations.


computational intelligence and security | 2013

A comparison of artificial neural network performance: The case of neutron/gamma pulse shape discrimination

Tatiana Tambouratzis; Dina Chernikova; Imre Pázsit

Pulse shape discrimination is investigated using artificial neural networks, namely linear vector quantization and self organizing maps which are employed for classifying neutron and gamma rays at a variety of energies and for different relative sizes of the training and test sets. While classification performance confirms that both approaches are capable of excellent discrimination, some differences between the approaches are observed: linear vector quantization is particularly accurate in classifying the training set; the self organizing map, on the other hand, demonstrates higher prediction accuracy, with its clustering capabilities rendering it less sensitive to classification errors. Comparisons with existing analytical as well as artificial neural network approaches are made.


International Journal of Nuclear Energy Science and Technology | 2011

System of combined active and passive control of fissile materials and their nuclide composition in nuclear wastes

Yury N. Barmakov; Evgeny P. Bogolyubov; Oleg V. Bochkarev; Yury G. Polkanov; V. L. Romodanov; Dina Chernikova

New methods of non-destructive control must be developed and existing ones must be improved in order to solve the problem of control of fissile materials (FMs) in vessels with nuclear wastes, and to provide safe operation of nuclear power plants. This paper considers the application of active methods of control on the basis of DD or DT pulsed neutron generators. These methods are more comprehensive and sensitive than traditional passive methods for detection of neutron and gamma radiation from nuclear materials, such as U-235 and Pu-239. As a particular method for FM control we use a technique of differential die-away of neutrons, detected by He-3 proportional counters. Calculations performed for 60 litres containers showed the high sensitivity of detection of induced fission neutrons (up to 10 mg of U-235) in a graphite matrix and much lower sensitivity of detection for a container with an iron matrix.


Applied Radiation and Isotopes | 2015

Characterization of strong 241Am sources

Anna Vesterlund; Dina Chernikova; Petty Bernitt Cartemo; Kåre Axell; Anders Nordlund; Gunnar Skarnemark; Christian Ekberg; Henrik Ramebäck

Gamma ray spectra of strong (241)Am sources may reveal information about the source composition as there may be other radioactive nuclides such as progeny and radioactive impurities present. In this work the possibility to use gamma spectrometry to identify inherent signatures in (241)Am sources in order to differentiate sources from each other, is investigated. The studied signatures are age, i.e. time passed since last chemical separation, and presence of impurities. The spectra of some sources show a number of Doppler broadened peaks in the spectrum which indicate the presence of nuclear reactions on light elements within the sources. The results show that the investigated sources can be differentiated between by age and/or presence of impurities. These spectral features would be useful information in a national nuclear forensics library (NNFL) in cases when the visual information on the source, e.g. the source number, is unavailable.


Nuclear Science and Engineering | 2017

The Inclusion of Photofission, Photonuclear, (n, xn), (n, n ' x gamma), and (n, x gamma) Reactions in the Neutron-Gamma Feynman-Alpha Variance-to-Mean Formalism

Dina Chernikova; Imre Pázsit; Andrea Favalli; Stephen Croft

This paper sets up a formalism that is sufficiently general to describe the effects of photofission, photonuclear, (n, xn), (n, n′xγ), and (n, xγ) reactions on the neutron-gamma Feynman-alpha variance-to-mean ratios. Such a formalism is obtained using the Chapman-Kolmogorov (master) forward equation for the above-mentioned set of nuclear reactions. Thereafter, the issue of estimating reaction intensities for gammas in the master equation is highlighted by the paper. As an example, a quantitative evaluation of reaction intensities is given for a case when (n, γ), photonuclear, and (n, 2n) reactions are relevant for the system. However, an evaluation of the influence of these types of reactions to the values of the Feynman variance-to-mean ratios is not within the scope of this paper. Overall, the results obtained in this paper are intended to give an extended systematic framework for the study of the neutron- and gamma-based nondestructive assay problems in nuclear reactor applications and materials control.


Instruments and Experimental Techniques | 2013

A method for nondestructive assay of nuclear materials in facilities with a pulse neutron generator and a digital technology for discrimination between neutrons and photons

V. L. Romodanov; A. G. Belevitin; Dina Chernikova

A method for determining the 235U concentration in fuel assemblies of a high-power channel-type PBMK reactor is described. The measure of 235U content of an analyzed sample is the number of neutrons from thermal-neutron fission of 235U, normalized to the number of γ quanta produced in thermal neutron capture by hydrogen nuclei in the scintillator or by 10B in the glass of a photomultiplier tube. A pulse neutron generator based on DT reaction is the neutron source, and an organic scintillator with the pulse shape discrimination between neutrons and γ rays with the aid of the digital technology is a detector. The scintillator is also used as a neutron moderator. Simulation of the method shows that the 235U content of the analyzed sample can be determined for 1 min with an accuracy of 1% or better. The efficiency of the method has been confirmed by experimental investigations on a model of the setup.


Instruments and Experimental Techniques | 2010

A method for decreasing the loading on scintillation channels in facilities with pulsed neutron sources

V. L. Romodanov; V. K. Sakharov; Dina Chernikova

A method is proposed for decreasing the loading on scintillation channels in nuclear material detection and monitoring facilities comprising pulsed neutron sources, neutron moderators, and scintillators with a system for pulse shape discrimination between neutrons and photons. This method is based on the use of composite scintillators containing cylindrical shells of a thermal-neutron absorbing material. Selecting the sizes of zones in a composite scintillator and the absorber type (cadmium and lithium carbonate with different 6 Li content), it is possible to considerably increase the decay time constant for thermal neutrons in a composite scintillator and thereby reduce its load as compared to a homogeneous scintillator over the same time period after a pulse from the neutron source. The sizes of the scintillator component parts and the absorber material are optimized, which provides a means for decreasing the load on the scintillation channel several-fold while maintaining constant detection efficiency for fast fission neutrons. The capabilities of this method for decreasing the load are demonstrated by the example of the operational prototype of the fissile material detection and monitoring facility with a graphite moderator and LS-13 scintillators. The efficiency of the facility used in this method is compared to that of a facility with a deuterium-containing scintillator, in which no radiative capture photons are produced.


Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment | 2013

A direct method for evaluating the concentration of boric acid in a fuel pool using scintillation detectors for joint-multiplicity measurements

Dina Chernikova; Kåre Axell; Imre Pázsit; Anders Nordlund; Rashed Sarwar


European Physical Journal Plus | 2012

Derivation and quantitative analysis of the differential self-interrogation Feynman-alpha method

Johan Anderson; Lénárd Pál; Imre Pázsit; Dina Chernikova; Sara A. Pozzi

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Imre Pázsit

Chalmers University of Technology

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Anders Nordlund

Chalmers University of Technology

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Lénárd Pál

Hungarian Academy of Sciences

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Petty Bernitt Cartemo

Chalmers University of Technology

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Johan Anderson

Chalmers University of Technology

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Nermin Trnjanin

Chalmers University of Technology

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Syed F. Naeem

Chalmers University of Technology

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Andrea Favalli

Los Alamos National Laboratory

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