The multi-nucleon transfer reaction between 136Xe beam and 198Pt target at the beam energy 7 MeV/u was studied using the large acceptance spectrometer VAMOS++ coupled with the newly installed second ...arm time-of-flight and delayed γ-ray spectrometer CATLIFE (Complementary Arm for Target LIke FragmEnts). The CATLIFE detector is composed of a large area multi-wire proportional chamber and the EXOGAM HPGe clover detectors with an ion flight length of 1230 mm. Direct measurement of the target-like fragments (TLF) and the delayed γ-rays from the isomeric state helps to improve TLF identification. The use of the velocity of TLFs and the delayed γ-ray demonstrate the proof of principle and effectiveness of the new setup.
Multi-nucleon transfer reaction between 136Xe beam and 198Pt target was performed using the VAMOS++ spectrometer at GANIL to study the structure of n-rich nuclei around N=126. Unambiguous charge ...state identification was obtained by combining two supervised machine learning methods, deep neural network (DNN) and positional correction using a gradient-boosting decision tree (GBDT). The new method reduced the complexity of the kinetic energy calibration and outperformed the conventional method improving the charge state resolution by 8%.
The expert system (ES) intended for assessment of condition of the insulating system of oil-filled transformers has been presented. ES is based on the analysis of the processes of polarization and ...depolarization proceeding in volume of insulating intervals of the power equipment; it allows to create effectively the conclusion about a condition of controlled object as parameters of control act not so much as characteristics of materials but as characteristics of processes of dielectric designs' aging. A distinctive feature of expert system is the possibility to obtain necessary information about operation parameters defining reliability and duration of work and providing high efficiency of power equipment service
The multi-nucleon transfer reaction between 136Xe beam and 198Pt target at the beam energy 7 MeV/u was studied using the large acceptance spectrometer VAMOS++ coupled with the newly installed second ...arm time-of-flight and delayed \(\gamma\)-ray spectrometer CATLIFE (Complementary Arm for Target LIke FragmEnts). The CATLIFE detector is composed of a large area multi-wire proportional chamber and the EXOGAM HPGe clover detectors with an ion flight length of 1230 mm. Direct measurement of the target-like fragments (TLF) and the delayed \(\gamma\)-rays from the isomeric state helps to improve TLF identification. The use of the velocity of TLFs and the delayed \(\gamma\)-ray demonstrate the proof of principle and effectiveness of the new setup.
The excited states of unstable \(^{20}\)O were investigated via \(\gamma\)-ray spectroscopy following the \(^{19}\)O\((d,p)^{20}\)O reaction at 8 \(A\)MeV. By exploiting the Doppler Shift Attenuation ...Method, the lifetime of the 2\(^+_2\) and 3\(^+_1\) states were firmly established. From the \(\gamma\)-ray branching and E2/M1 mixing ratios for transitions deexciting the 2\(^+_2\) and 3\(^+_1\) states, the B(E2) and B(M1) were determined. Various chiral effective field theory Hamiltonians, describing the nuclear properties beyond ground states, along with a standard USDB interaction, were compared with the experimentally obtained data. Such a comparison for a large set of \(\gamma\)-ray transition probabilities with the valence space in medium similarity renormalization group ab-initio calculations was performed for the first time in a nucleus far from stability. It was shown that the ab-initio approaches using chiral EFT forces are challenged by detailed high-precision spectroscopic properties of nuclei. The reduced transition probabilities were found to be a very constraining test of the performance of the ab-initio models.
Multi-nucleon transfer reaction between 136Xe beam and 198Pt target was performed using the VAMOS++ spectrometer at GANIL to study the structure of n-rich nuclei around N=126. Unambiguous charge ...state identification was obtained by combining two supervised machine learning methods, deep neural network (DNN) and positional correction using a gradient-boosting decision tree (GBDT). The new method reduced the complexity of the kinetic energy calibration and outperformed the conventional method, improving the charge state resolution by 8%
Loading conditions are among the significant determinants of the stability of embankment dams: they need to be carefully investigated during the design phase of the dam construction. Unfortunately, ...it is almost impossible to investigate the combination of these parameters in-situ. In the current work, the influence of rapid drawdown loading conditions on the stability of the embankment dam was investigated with the help of numerical modeling for a case of the Aktobe dam in Kazakhstan. The seepage analyses were carried out concurrently with slope stability analyses. Mainly, five different drawdown cases were investigated, which are: steady-state, instantaneous drawdown, 5-days drawdown, 10-days drawdown, and 1m per day drawdown rate. In terms of flow type, both steady-state and transient flow conditions were investigated. In general, when the embankment was subjected to the 1 m per day drawdown rate a minimum factor of safety value of 1.486 was retrieved from computations. The factor of safety value is equivalent to a 3.7 % increase from the 10 days drawdown rate, 8.3 % from the 5 days drawdown rate and 48.6 % from the instantaneous drawdown.
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