Relating multihadron production in hadronic and nuclear collisions

The energy-dependence of charged particle mean multiplicity and pseudorapidity density at midrapidity measured in nucleus–nucleus and (anti)proton–proton collisions are studied in the entire available energy range. The study is performed using a model, which considers the multiparticle production process according to the dissipating energy of the participants and their types, namely a combination of the constituent quark picture together with Landau relativistic hydrodynamics. The model reveals interrelations between the variables under study measured in nucleus–nucleus and nucleon–nucleon collisions. Measurements in nuclear reactions are shown to be well reproduced by the measurements in pp/[`(p)]p{\bar{\mathrm{p}}}{\mathrm{p}} interactions and the corresponding fits are presented. Different observations in other types of collisions are discussed in the framework of the proposed model. Predictions are made for measurements at the forthcoming LHC energies.     

Denitrocyclization in synthesis of dibenzo[b,f][1,4]thiazepin‐11(10h)‐ones and their derivatives

A convenient synthesis of the novel dibenzo[b,f][1,4]thiazepin‐11(10H)‐ones is reported. As a key step, the synthetic route includes intramolecular aromatic denitrocyclization of 2‐(2,4‐dinitro‐phenylsulfanyl)‐benzoic acid amides. Efficient procedures for denitrocyclization in the presence of different bases are developed. Reduction of the nitro group in the obtained heterocycles resulted in formation of primary amines, which were transformed into amides by acylation with different carboxylic acids. The synthesized compounds have a great potential of bioactivity and are useful objects for biomedicinal screening.     

Light-induced transformation of C60 films in the presence and absence of oxygen

The composition and structure of C₆₀ fullerite films prepared by discrete evaporation in quasiclosed volume, as well as their changes induced by laser irradiation, have been studied by ellipsometry and Rutherford backscattering. The starting film has a 150-Å thick stable top layer and a carbon to oxygen ratio of 10:1. Exposure of a film both to vacuum and to air results in formation of an insoluble photo-transformed phase, but in the second case the change in the refractive index implies the appearance of compounds with oxygen. The material does not undergo complete polymerization, although all structural changes cease at an irradiation dose of 10₄ photons per fullerene molecule. Treatment of the polymerized phase with organic solvents produces a porous structure, with the voids totaling 48% in the case of exposure in vacuum, and 30% when exposed in air.     

Study of YBa2Cu3O7−x films at various stages of their growth by medium-energy ion scattering

The initial stages in the formation and growth of yttrium-barium cuprate films have been studied in the course of magnetron sputtering of a ceramic target by combining medium-energy-ion scattering (MEIS) and scanning-electron microscopy. The growth mechanisms of YBa₂Cu₃O_7−x films on MgO and substrates having the perovskite structure, SrTiO₃ and LaAlO₃, at deposition temperatures of 700–780 °C and (Ar+O₂) pressure of ∼70 Pa were found to be essentially different. Simulation of MEIS spectra (H⁺ or He⁺ ions with initial energies of 150–250 keV) and comparison of these results with experimental data revealed that in the first case a film forms from pyramid-shaped islands and, in the second, it grows by a two-dimensional layer-by-layer process starting practically with the first monolayer. For the island mechanism, MEIS permitted determination of the substrate surface coverage and showed the growth of the YBa₂Cu₃O_7−x phase to be paralleled by formation of epitaxial nuclei of a Cu₂O phase. After the first, initial stage in the film formation, the second stage, regular growth within reduced thicknesses of 7–15 nm, sets in. This stage is characterized by a practically complete coverage of the substrate and a stable composition. The third stage, regular growth, of an apparently helical nature, was observed to set in at thicknesses above 100 nm. In this stage, the quality of film structure in the bulk and on the surface was found to be somewhat inferior to that of YBa₂Cu₃O_7−x single crystals and did not depend on substrate type. Fiz. Tverd. Tela (St. Petersburg) 41, 588–595 (April 1999)     

NMR study of the dynamic behaviour of the system 2-ethylhexylsodium-2-ethylhexyllithium in heptane

Mixtures of 2-ethylhexylsodium and 2-ethylhexyllithium are studied by ¹H- and ¹³C-NMR spectroscopy in the temperature range from 20 to −50°C in hydrocarbon solutions. Characteristic temperature-dependent spectra obtained are indicative of dynamic exchange processes taking place in the system. The following activation parameters are found: ΔH^≠=31.7±2.7 kJ mol⁻¹; ΔG^≠₃₁₃=58.7±0.6 kJ mol⁻¹; ΔS^≠=−86.37±10.8 J mol⁻¹ K⁻¹. The negative value of the activation entropy indicates that the exchange proceeds through the associative mechanism. The participation in exchange reactions of aggregates, containing both sodium and lithium derivatives, is suggested.     

Comparison of efficiency of artificial neural networks for forecasting the geomagnetic activity index Dst

Using artificial neural networks (ANN), we study problems of forecasting the evolution of the geomagnetic D _st index on the basis of parameters of the solar-wind plasma and magnetic field obtained from the OMNI satellite system. Using this sample problem, we compare the neural network modifications with error backpropagation, such as classic network and feedback network. We analyze the efficiency of a feedback in the hidden layer of the Elman neural network which has a dynamic memory due to the time delay. The role of a delay in the input layer of a neural network is studied. It is shown that the forecasting efficiency increases significantly if a feedback in the hidden layer and the time delay in the input layer are used. The hidden-layer feedback and the input-layer time delay reproduce the time delay in the physical problem considered. Using thresholds in activation functions does not influence the ANN efficiency. The solar-wind parameters that have the strongest influence on the geomagnetic-storm formation are found. The influence of the number of hidden-layer neurons on the quality of forecasting the global disturbances in the near-Earth magnetic field is studied. It is pointed out that the networks with error backpropagation allow, after the relevant tuning and learning, fairly efficient forecasting of phenomena similar to geomagnetic storms several hours before a large-scale magnetospheric event. Pedagogical University, Nizhny Novgorod, Russia. Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Radiofizika, Vol. 43, No. 5, pp. 385–394, May, 2000.     

Micromagnetic Modeling of Spin-Wave Excitations in Corrugated YIG Films

Physics of the Solid State - In this paper, we study the features of the spin-wave excitation spectrum in a YIG film with a thickness of 0.4 μm and a magnetization of 1.1 kG corrugated due to...     

Contribution of Mechanical Stresses to the Surface Relief Formation Under Laser Irradiation of Semiconductors

Russian Physics Journal - The paper considers the effect of elastic stresses arising under pulsed laser irradiation of epitaxial layers of CdxHg1–xTe solid solutions on the formation of a...     

Zero-Dimensional Model to Study the Effectiveness of Plasma Heating and Thermal Energy Confinement in Globus-M Tokamak in Ohmic Heating Modes

Experimental study of thermal energy confinement in magnetic confinement devices is one of the fundamental problems in plasma physics. The data processing technique covering kinetic and magnetic measurements performed for the Globus-M tokamak is described. A zero-dimensional code has been developed on the basis of this approach making it possible to calculate important discharge parameters during the experiment (between discharges): the electron and ion stored thermal energy content, plasma effective charge, and confinement time. Good agreement of the zero-dimensional calculations and ASTRA modeling indicates that this approach can be applied for routine data processing in Globus-M in view of the specifics of the device.