Препринты / Preprints

If the next fundamental level of matter occurs (preons) then dark matter must consist of familons containing a «hot» component from massless particles and a «cold» component from massive particles. During evolution of the Universe this dark matter was undergone to late-time relativistic phase transitions temperatures of which were different. Fluctuations created by these phase transitions have had a fractal character. In the result of the structurization of dark matter (and therefore the baryon subsys-lem) has taken place and in the Universe some characteristic scales which have printed this phenomenon arise naturally. Familons are collective excitations of nonperturbative preon condensates which could be produced during more early relativistic phase transition. For structurization of dark matter (and baryon component) three generations of particles are necessary. The fir st generation of particles has produced the observed baryon world. The second and third generations have produced dark matter from particles which have appealed when symmetry among generations was spontaneously broken.

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Absorption/emission spectral regions of SO, SO2, SO3, S2O and HSO are analyzed for the range from UV (? >_ 0.2 ?m) to IR (? < 30 ?m) and are compared with atmospheric transmission spectrum. It is shown that many vibrational bands of considered compounds fall into atmospheric transmission windows. For vibrational bands of SO, SO2, SO3, S2O and HSO molecules there are some gases which hinder the absorption diagnostics of indicated compounds. These interfering gases are natural components of atmospheric air as well as specific gases of aircraft engine exhaust. It is found that the least influence of the interference takes place
in 2400-2700 cm—1 IR region. Spectroscopic techniques applied for the detection of aircraft engine exhaust compounds are briefly reviewed attending much consideration to SO2. IR absorption spectra of SO2 and other gases are calculated for the conditions of aircraft engine nozzle exit. Narrow spectral intervals suitable for SO2 detection in a hot flow are determined. The analysis is made for the detection capabilities of CO2 lasers (including isotope CO2 lasers) and CO lasers (both fundamental band and first-overtone ones) as applied for SO2 detection in aircraft engine exhaust.

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We propose that the Universe has been created from » nothing» with a relatively small number of particles and has quickly relaxed to a qussiequilibrium state at the Planck parameters. The classic cosmological solution for this Universe with а Л-term has two branches divided by a gap. The quantum process of tunneling between branches of the cosmological solution and the kinetics of the second order re’.ativistic phase transition in a supersymmetric SU(5) model oh GUT scale are investigated using numerical methods. The Einstein equations are solved together with the equations of relaxation kinetics. Other quantum geometrodynamics process (the bounce from a singularity) and the Wheeler-De Witt equation are also investigated. The computer experiments have shown that because of the rapid character of the relaxation processes and the absence in the inflaton potential of peculiarities that are able to delay the system in the overcooled phase the usual type of inflation regime is not realized. For formation of the observed number of particles the model of a slowly swelling Universe as the result of the multiple reproduction of cosmological cycles arises naturally

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One of the key problems of ILF concerns the hydrodynamic instabilities occuring in the system, and the most important here is the Rayleigh-Taylor instability. Studying of such kind of turbulent flows is a fundamental task of hydrodynamiks. The complexity of direct numerical simulation (DNS) by hydrodynamic equations, and the sensitivity of DNS results to the initial conditions on the jne hand, and, on the other hand, limited applicability of a parametric approach, which is based on the creation of simple models of turbulent mixing, sends us in seach of new methods for the description of the noted phenomena. We propose a fundamentally new approach to this problem: the creation of a semiparametric model using neuronet analysis of the experimental (calculated) data.

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