[en] Neural networks are widely used for signal to background separation in high energy collider physics. Neural networks trained on Monte Carlo simulations can be highly sensitive to systematic uncertainties. A proposed technique to diminish this sensitivity is an adversarial neural network consisting of two networks that are trained against each other. In our case, the first network tries to separate between signal and background, while the second network tries to separate between a nominal signal sample and a signal sample with different settings. We are using a Minimax decision rule to achieve a good signal to background separation for the first network and a poor nominal to systematics separation for the second network. In this talk an adversarial neural network trained on tW dilepton channel Monte Carlo simulations with $t\stackrel{¯<!--\; ??\; -->}{t}$ background using the ATLAS detector is introduced. Testing and tuning of the hyperparameters is presented for both networks as well as a comparison to a single neural network approach. Lastly the dependence for both approaches on systematic uncertainties is investigated.

[en] Intercalated nanocomposite based on Mg, Al layered double hydroxide (LDH) and poly(vinyl alcohol) (PVA) was prepared using exfoliation-adsorption technique, and characterized by X-ray diffraction and thermal gravimetric analysis. The results suggest that the intercalated species are formed via the re-aggregation of the delaminated LDH lamellar with the interlayer spacing 14.5 A, and the thermal stability of the nanocomposite improved compared with the original PVA

[en] The liquidus in the SiO₂-rich corner was experimentally constructed at temperatures from 1400 °C to 1640 °C. The phase compositions of the liquidus studied were obtained by analyzing the quenched samples employing Scanning Electron Microscopy/Energy Dispersive X-ray Spectroscopy (SEM/EDS) and Electron Probe Micro-Analyzer (EPMA). The phase relationships of the stoichiometric compounds at 1200 °C and 1250 °C were determined by X-ray powder diffraction (XRD). Phase diagram of the BaO–SiO₂ binary system was calculated based on the MTOX oxide database. The present experimental data were compared with the calculated phase diagram and showed a good agreement. - Highlights: • The liquidus from 1400 °C to 1640 °C in the SiO₂-rich region was measured by equilibration technique. • The existence of Ba₃SiO₅, Ba₂SiO₄, BaSiO₃, Ba₂Si₃O₈, Ba₅Si₈O₂₁ and BaSi₂O₅ was confirmed. • The calculated phase diagram of the BaO–SiO₂ system agrees well with the present experiments.

[en] ZnS quantum dots (QDs) are among the most promising emerging fluorescent materials for biolabeling. High-quality colloidal ZnS QDs were synthesized via a new facile chemical precipitation method using the mixture of ethylene glycol (EG) and water as the solvent. The phase structure and morphology of the ZnS QDs were characterized by X-ray powder diffraction and high resolution transmission electron microscopy. The synthesized ZnS QDs have a cubic zinc blende structure with monodispered and small particles. ZnS QDs easily dispersed in water to form stable and clear colloids and the strong tunable trap state emissions from 452 to 516 nm were achieved by varying the reaction time. The hemolysis assay was performed to evaluate the biocompatibility of the ZnS QDs.

[en] Multivariate analysis (MVA) techniques are widely used in high energy physics to separate interesting signal processes from a large amount of background events. The training of the MVA is usually done using nominal signal and background samples. However, the imperfect knowledge of the detector performance and physics model results in the presence of systematic uncertainties that affect the classifier. A step further would be to construct a classifier insensitive to systematic variations, which are usually parametrised by nuisance parameters (NP). Adversarial networks, which consist of a system of neural networks contesting each other, are a clear candidate to solve such problem. This talk investigates the possibilities of using this technique in a single-top-quark analysis in ATLAS. Monte Carlo events are split into training and test samples for both nominal and systematic variations. Adversarial networks are built by Keras, where the discriminative network is trying to distinguish signal and backgrounds while cheating the generative network, which tries to predict NP values.

[en] A method for synthesis of ¹⁴C-dehydrocorydaline chloride is described. In the presence of sodium hydroxide, acetonylpalmatine is reacted with ¹⁴C-methyl iodide in sealed glass ampoule to give ¹⁴C-13-methylpalmatine iodide which is then converted to chloride. The radiochemical purity of ¹⁴C-dehydrocorydaline determined by TLC is over 98% and the labelling efficiency is 54%

[en] The liquid sodium has been used as the working media for high-temperature heat pipe and the generation IV sodium cooled fast reactor due to the extremely high conductivity. The heat transfer characteristics of sodium in a circular pipe is one of the most essential focuses in engineering applications. In this paper, a model to predict the heat transfer coefficient of fully developed sodium flowing in tube was developed based on the universal velocity, turbulent eddy diffusivity and the linear law inside the thermal boundary layer. The Kays correlation for turbulent Prandtl number was used to predict the turbulent Prandtl in the bulk flow with y + larger than 60. This model was validated by the experiment data of Hg, NaK and sodium, showing superior accuracy than other available models. Besides, the dependence of the accuracy on the model parameters was also analyzed, demonstrating the universal applicability of the current model. (author)

[en] This article produced the Digital Control System For Advanced Reactor made by NPIC. This system uses Siemens SIMATIC PCS 7 process control system and includes five control system: reactor power control system, pressurizer level control system, pressurizer pressure control system, steam generator water level control system and dump control system. This system uses three automatic station to realize the function of five control system. Because the safety requisition of reactor is very strict, the system is redundant. The system configuration uses CFC and SCL. the human-machine interface is configured by Wincc. Finally the system passed the test of simulation by using RETRAN 02 to simulate the control object. The research solved the key technology of digital control system of reactor and will be very helpful for the nationalization of digital reactor control system

[en] The inclusive production cross-section for the associated production of a W boson and a top quark is measured using data from proton-proton collision at a centre of mass energy 13 TeV collected in 2015 by the ATLAS detector at the Large Hadron Collider at CERN. Events are separated into signal and control regions based on the number of jets and the number of jets which are identified as containing b-hadrons. The Wt signal is separated from the t anti t background using a boosted decision tree discriminant. The cross-section is extracted by fitting Monte Carlo templates to the data distributions. A measurement of the fiducial cross-section is also performed.

[en] The solid fluorescence spectral properties of uranium in phosphates systems have been observed. The NaH₂PO₄: U system has been found to be an efficient green phosphor. The luminescence mechanism of the phosphor has been discussed. The crystal structure of NaH₂PO₄: U system under different conditions was also studied. Over a wide range of ignition temperatures (200 ∼ 600 C degree), the system with mass ratio of U/NaH₂PO₄ below 10^-3 transforms into NaPO₃: U crystal, which emits strong fluorescence. The system is non-crystalline with decreasing fluorescence intensity when the ignition temperature is higher than 650 C degree. The NaPO₃ crystal lattice has distorted as the mass ratio of U/NaH₂PO₄ of the system greater than 10^-2