Neutron correlations with electrical measurements in a Plasma Focus device

Bruzzone, H.; Acuña, H.; Clausse, Alejandro

doi:10.1590/s0103-97332008000100022

Cited by 17 publications

(15 citation statements)

References 8 publications

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“…The inductance measurement allows estimation of the plasma voltage at pinch time (see Section 4.2.3). The mechanical energy of the plasma at different stages of discharge [215] can be estimated from the relation…”

Section: Dynamic Inductance Measurementmentioning

confidence: 99%

Update on the Scientific Status of the Plasma Focus

Auluck

Kubeš

Paduch

et al. 2021

Plasma

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This paper is a sequel to the 1998 review paper “Scientific status of the Dense Plasma Focus” with 16 authors belonging to 16 nations, whose initiative led to the establishment of the International Center for Dense Magnetized Plasmas (ICDMP) in the year 2000. Its focus is on understanding the principal defining characteristic features of the plasma focus in the light of the developments that have taken place in the last 20 years, in terms of new facilities, diagnostics, models, and insights. Although it is too soon to proclaim with certainty what the plasma focus phenomenon is, the results available to date conclusively indicate what it is demonstrably not. The review looks at the experimental data, cross-correlated across multiple diagnostics and multiple devices, to delineate the contours of an emerging narrative that is fascinatingly different from the standard narrative, which has guided the consensus in the plasma focus community for several decades, without invalidating it. It raises a question mark over the Fundamental Premise of Controlled Fusion Research, namely, that any fusion reaction having the character of a beam-target process must necessarily be more inefficient than a thermonuclear process with a confined thermal plasma at a suitably high temperature. Open questions that need attention of researchers are highlighted. A future course of action is suggested that individual plasma focus laboratories could adopt in order to positively influence the future growth of research in this field, to the general benefit of not only the controlled fusion research community but also the world at large.

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Section: Dynamic Inductance Measurementmentioning

confidence: 99%

Update on the Scientific Status of the Plasma Focus

Auluck

Kubeš

Paduch

et al. 2021

Plasma

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“…This is the case when a correlation with the photomultiplier signals were attempted. As mentioned before, the voltage divider value, or the associated induced pinch voltage, was previously used in these kind of correlations for either X rays measurements with PMT or neutron yields [4], [24], [43]. It has been determined that the fast z-pinch developed in plasma focus devices depends on other variables as well [6].…”

Section: B Characteristic Plasma Focus Parameter Selectionmentioning

confidence: 99%

“…Discrepancies of about a few ns can be expected due to the uncertainty in the measurement of the cable length from both sensors. Circuit current parameters have been used for correlations with scintillator-photomultiplier measurements [24] and for describing the scaling laws for the neutron yield of plasma focus [11], [27], [43]. Both current I p and rate of change of currentİ p at time of pinch were included in this analysis.…”

Section: B Characteristic Plasma Focus Parameter Selectionmentioning

confidence: 99%

Inference of X-Ray Emission From a Plasma Focus Discharge: Comparison Between Characteristic Parameters and Neural Network Analyses

et al. 2020

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Pulsed plasma discharges, such as the plasma focus, are a source of pulsed X rays, therefore it is desirable to understand the relationship between this fast transient phenomena and the electrical variables of the discharge. Parameters from the electrical diagnostic signals are typically used to characterize the plasma focus discharge and for the correlations with X rays measurements via scatter plots. To further evaluate relevant information in the electrical signals, besides the characteristic parameters, an implementation of different types of machine learning algorithms, that included deep learning, was performed. A classification of pulses associated with an X rays measurement, in terms of the electrical signals data as input, was carried out. Two approaches were compared: the selection of the characteristic parameters and the use of the entire signals so the algorithms could find additional information for the classification task. The electrical diagnostic signals corresponded to: the voltage at the electrodes of the discharge chamber measured with a resistive voltage divider; time variation of the circuit current measured with a Rogowski coil and an inductive loop sensor; and the electromagnetic burst from the circuit measured with a Vivaldi antenna. The X rays measurement corresponded to the signal obtained from a scintillator-photomultiplier. In terms of the performance of the algorithms models in this classification problem, the results indicated that there is no significative improvements when using the entire signal or the selection of characteristic parameters. The best results were obtained when the following parameters were used: voltage at time of gas breakdown, voltage at time of pinch, current at time of pinch, time derivative of current at time of pinch, time from breakdown to pinch, and the Fast Fourier Transform of the part of the Vivaldi antenna signal related to the pinch event.

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“…Those studies provide valuable information on the plasma inductance and the voltage across the plasma column during the pinch phase. [14][15][16][17][18][19] According to mentioned previous studies in the final stage of plasma focus, the anode voltage can be expressed by 19…”

mentioning

confidence: 99%

“…The power (IV Pl ) which is stored in and consumed by the plasma column 19 is also plotted in Fig. 5.…”

mentioning

confidence: 99%

Common features of particle beams and x-rays generated in a low energy dense plasma focus device

Behbahani

Xiao

2015

Physics of Plasmas

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Features of energetic charged particle beams and x-ray emission in a low energy (1-2 kJ) plasma focus (DPF) device are described and the possible mechanism are explained based on circuit analyses and energy balance in the DPF system. In particular, the resistance and the voltage across the plasma column are estimated to explain the mechanisms of the generation of particle beams and hard x-ray. The analysis shows that the total inductance of a DPF might have played a role for enhancement of the particle beams and x-ray emissions during the phase of anomalous resistance.

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Neutron correlations with electrical measurements in a Plasma Focus device

Cited by 17 publications

References 8 publications

Update on the Scientific Status of the Plasma Focus

Update on the Scientific Status of the Plasma Focus

Inference of X-Ray Emission From a Plasma Focus Discharge: Comparison Between Characteristic Parameters and Neural Network Analyses

Common features of particle beams and x-rays generated in a low energy dense plasma focus device

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