1,664 research outputs found

    Relativistic calculations of charge transfer probabilities in U92+ - U91+(1s) collisions using the basis set of cubic Hermite splines

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    A new approach for solving the time-dependent two-center Dirac equation is presented. The method is based on using the finite basis set of cubic Hermite splines on a two-dimensional lattice. The Dirac equation is treated in rotating reference frame. The collision of U92+ (as a projectile) and U91+ (as a target) is considered at energy E_lab=6 MeV/u. The charge transfer probabilities are calculated for different values of the impact parameter. The obtained results are compared with the previous calculations [I. I. Tupitsyn et al., Phys. Rev. A 82, 042701 (2010)], where a method based on atomic-like Dirac-Sturm orbitals was employed. This work can provide a new tool for investigation of quantum electrodynamics effects in heavy-ion collisions near the supercritical regime

    On the meteor trail spectra

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    Meteor radiation appears as a result of collisions between meteoroid atoms and air molecules. Depending on duration, this radiation is usually divided into the following types: radiation of the meteor head; radiation of a coma surrounding or immediately following the meteor head; radiation of a trail formed as a result of fragments lagging behind or by the afterglow; and radiation of a meteor train forming from a tail as a result of various chemical and dynamical processes. To investigate physical processes caused by each of the above types, it is necessary to obtain the corresponding experimental data. The physical processes of the radiation and the measurement of the experimental data is discussed

    Relativistic calculations of the U91+(1s)-U92+ collision using the finite basis set of cubic Hermite splines on a lattice in coordinate space

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    A new method for solving the time-dependent two-center Dirac equation is developed. The approach is based on the using of the finite basis of cubic Hermite splines on a three-dimensional lattice in the coordinate space. The relativistic calculations of the excitation and charge-transfer probabilities in the U91+(1s)-U92+ collisions in two and three dimensional approaches are performed. The obtained results are compared with our previous calculations employing the Dirac-Sturm basis sets [I.I. Tupitsyn et al., Phys. Rev. A 82, 042701 (2010)]. The role of the negative-energy Dirac spectrum is investigated within the monopole approximation

    Relativistic calculations of the K-K charge transfer and K-vacancy production probabilities in low-energy ion-atom collisions

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    The previously developed technique for evaluation of charge-transfer and electron-excitation processes in low-energy heavy-ion collisions [I.I. Tupitsyn et al., Phys. Rev. A 82, 042701(2010)] is extended to collisions of ions with neutral atoms. The method employs the active electron approximation, in which only the active electron participates in the charge transfer and excitation processes while the passive electrons provide the screening DFT potential. The time-dependent Dirac wave function of the active electron is represented as a linear combination of atomic-like Dirac-Fock-Sturm orbitals, localized at the ions (atoms). The screening DFT potential is calculated using the overlapping densities of each ions (atoms), derived from the atomic orbitals of the passive electrons. The atomic orbitals are generated by solving numerically the one-center Dirac-Fock and Dirac-Fock-Sturm equations by means of a finite-difference approach with the potential taken as the sum of the exact reference ion (atom) Dirac-Fock potential and of the Coulomb potential from the other ion within the monopole approximation. The method developed is used to calculate the K-K charge transfer and K-vacancy production probabilties for the Ne(1s22s22p6)(1s^2 2s^2 2p^6) -- F8+(1s)^{8+}(1s) collisions at the F8+(1s)^{8+}(1s) projectile energies 130 keV/u and 230 keV/u. The obtained results are compared with experimental data and other theoretical calculations. The K-K charge transfer and K-vacancy production probabilities are also calculated for the Xe -- Xe53+(1s)^{53+}(1s) collision.Comment: 16 pages, 4 figure

    Weakly-nonlocal Symplectic Structures, Whitham method, and weakly-nonlocal Symplectic Structures of Hydrodynamic Type

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    We consider the special type of the field-theoretical Symplectic structures called weakly nonlocal. The structures of this type are in particular very common for the integrable systems like KdV or NLS. We introduce here the special class of the weakly nonlocal Symplectic structures which we call the weakly nonlocal Symplectic structures of Hydrodynamic Type. We investigate then the connection of such structures with the Whitham averaging method and propose the procedure of "averaging" of the weakly nonlocal Symplectic structures. The averaging procedure gives the weakly nonlocal Symplectic Structure of Hydrodynamic Type for the corresponding Whitham system. The procedure gives also the "action variables" corresponding to the wave numbers of mm-phase solutions of initial system which give the additional conservation laws for the Whitham system.Comment: 64 pages, Late

    Quasiperiodic functions theory and the superlattice potentials for a two-dimensional electron gas

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    We consider Novikov problem of the classification of level curves of quasiperiodic functions on the plane and its connection with the conductivity of two-dimensional electron gas in the presence of both orthogonal magnetic field and the superlattice potentials of special type. We show that the modulation techniques used in the recent papers on the 2D heterostructures permit to obtain the general quasiperiodic potentials for 2D electron gas and consider the asymptotic limit of conductivity when Ο„β†’βˆž\tau \to \infty. Using the theory of quasiperiodic functions we introduce here the topological characteristics of such potentials observable in the conductivity. The corresponding characteristics are the direct analog of the "topological numbers" introduced previously in the conductivity of normal metals.Comment: Revtex, 16 pages, 12 figure

    Утилизация ΡΡƒΠ»ΡŒΡ„ΠΈΠ΄Π½ΠΎ-ΠΌΡ‹ΡˆΡŒΡΠΊΠΎΠ²ΠΈΡΡ‚ΠΎΠ³ΠΎ ΠΊΠ΅ΠΊΠ°

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    When processing sulfide copper-zinc concentrates at copper smelters, sulfide-arsenic cakes are formed, which are subject to disposal. To solve the global environmental problem of arsenic in the metallurgical and mining industries, it must be reliably concentrated and fixed in technological flows with subsequent waste disposal. The fusion of arsenic cake with elemental sulfur leads to the formation of vitreous sulfides, which are less toxic in comparison with dispersed powdered cake, homogeneous and compact in shape. The fusion product is represented by non-stoichiometric arsenic sulfide, similar in composition to As2S5. The high chemical stability of glassy arsenic sulfides is confirmed by the results of leaching by TCLP method. The fusion products have 100 times lower solubility compared to the initial cake. Achieving the solubility of arsenic in the alloy below the threshold concentration (5 mg/dm3 ) makes it possible to recommend the disposal of arsenic cake by fusing it with elemental sulfur. The fusion products belong to non-hazardous waste and are suitable for long-term storage. The composition and structure of cake fusions with iron powder have been studied. New compounds of variable composition were identified in the fused samples: arsenides and sulfides of iron, arsenic sulfides and arsenopyrites. Studies have shown that the products of fusion with iron have a solubility 10–15 times lower than the arsenic compounds in the initial cake but above the threshold concentration as per TCLP method. Therefore, fusion with iron cannot be recommended for practical use for the disposal of arsenic cakes.ΠŸΡ€ΠΈ ΠΏΠ΅Ρ€Π΅Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ ΡΡƒΠ»ΡŒΡ„ΠΈΠ΄Π½Ρ‹Ρ… ΠΌΠ΅Π΄Π½ΠΎ-Ρ†ΠΈΠ½ΠΊΠΎΠ²Ρ‹Ρ… ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ‚ΠΎΠ² Π½Π° ΠΌΠ΅Π΄Π΅ΠΏΠ»Π°Π²ΠΈΠ»ΡŒΠ½Ρ‹Ρ… Π·Π°Π²ΠΎΠ΄Π°Ρ… ΠΎΠ±Ρ€Π°Π·ΡƒΡŽΡ‚ΡΡ ΡΡƒΠ»ΡŒΡ„ΠΈΠ΄Π½ΠΎΠΌΡ‹ΡˆΡŒΡΠΊΠΎΠ²ΠΈΡΡ‚Ρ‹Π΅ ΠΊΠ΅ΠΊΠΈ, ΠΏΠΎΠ΄Π»Π΅ΠΆΠ°Ρ‰ΠΈΠ΅ ΡƒΡ‚ΠΈΠ»ΠΈΠ·Π°Ρ†ΠΈΠΈ. Для Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ глобальной экологичСской ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ ΠΌΡ‹ΡˆΡŒΡΠΊΠ° Π² мСталлургичСской ΠΈ Π³ΠΎΡ€Π½ΠΎΠ΄ΠΎΠ±Ρ‹Π²Π°ΡŽΡ‰Π΅ΠΉ отраслях ΠΏΡ€ΠΎΠΌΡ‹ΡˆΠ»Π΅Π½Π½ΠΎΡΡ‚ΠΈ ΠΎΠ½ Π΄ΠΎΠ»ΠΆΠ΅Π½ Π±Ρ‹Ρ‚ΡŒ Π½Π°Π΄Π΅ΠΆΠ½ΠΎ сконцСнтрирован ΠΈ ΠΈΠΌΠΌΠΎΠ±ΠΈΠ»ΠΈΠ·ΠΎΠ²Π°Π½ Π² тСхнологичСских ΠΏΠΎΡ‚ΠΎΠΊΠ°Ρ… с ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ ΡƒΠ΄Π°Π»Π΅Π½ΠΈΠ΅ΠΌ ΠΎΡ‚Ρ…ΠΎΠ΄ΠΎΠ². Π‘ΠΏΠ»Π°Π²Π»Π΅Π½ΠΈΠ΅ ΠΌΡ‹ΡˆΡŒΡΠΊΠΎΠ²ΠΈΡΡ‚ΠΎΠ³ΠΎ ΠΊΠ΅ΠΊΠ° с элСмСнтной сСрой ΠΏΡ€ΠΈΠ²ΠΎΠ΄ΠΈΡ‚ ΠΊ ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ΠΈΡŽ стСкловидных ΡΡƒΠ»ΡŒΡ„ΠΈΠ΄ΠΎΠ², ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠ΅Π½Π΅Π΅ токсичны Π² сравнСнии с диспСрсным ΠΏΠΎΡ€ΠΎΡˆΠΊΠΎΠΎΠ±Ρ€Π°Π·Π½Ρ‹ΠΌ ΠΊΠ΅ΠΊΠΎΠΌ, ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹ ΠΈ ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‚ ΠΊΠΎΠΌΠΏΠ°ΠΊΡ‚Π½ΠΎΠΉ Ρ„ΠΎΡ€ΠΌΠΎΠΉ. ΠŸΡ€ΠΎΠ΄ΡƒΠΊΡ‚ сплавлСния прСдставлСн нСстСхиомСтричСским ΡΡƒΠ»ΡŒΡ„ΠΈΠ΄ΠΎΠΌ ΠΌΡ‹ΡˆΡŒΡΠΊΠ°, Π±Π»ΠΈΠ·ΠΊΠΈΠΌ ΠΏΠΎ составу ΠΊ As2S5. Высокая химичСская ΡƒΡΡ‚ΠΎΠΉΡ‡ΠΈΠ²ΠΎΡΡ‚ΡŒ стСклообразных ΡΡƒΠ»ΡŒΡ„ΠΈΠ΄ΠΎΠ² ΠΌΡ‹ΡˆΡŒΡΠΊΠ° подтвСрТдаСтся Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌΠΈ выщСлачивания ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ΅ TCLP. ΠŸΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ‹ сплавлСния ΠΈΠΌΠ΅ΡŽΡ‚ Π² 100 Ρ€Π°Π· ΠΌΠ΅Π½ΡŒΡˆΡƒΡŽ Ρ€Π°ΡΡ‚Π²ΠΎΡ€ΠΈΠΌΠΎΡΡ‚ΡŒ ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с исходным ΠΊΠ΅ΠΊΠΎΠΌ. ДостиТСниС растворимости ΠΌΡ‹ΡˆΡŒΡΠΊΠ° Π² сплавС Π½ΠΈΠΆΠ΅ ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²ΠΎΠΉ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ (5 ΠΌΠ³/Π΄ΠΌ3 ) позволяСт Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Ρ‚ΡŒ ΡƒΡ‚ΠΈΠ»ΠΈΠ·Π°Ρ†ΠΈΡŽ ΠΌΡ‹ΡˆΡŒΡΠΊΠΎΠ²ΠΈΡΡ‚ΠΎΠ³ΠΎ ΠΊΠ΅ΠΊΠ° способом сплавлСния Π΅Π³ΠΎ с элСмСнтной сСрой. ΠŸΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ‹ сплавлСния относятся ΠΊ нСопасным ΠΎΡ‚Ρ…ΠΎΠ΄Π°ΠΌ ΠΈ ΠΏΡ€ΠΈΠ³ΠΎΠ΄Π½Ρ‹ для Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ хранСния. Π˜Π·ΡƒΡ‡Π΅Π½Ρ‹ состав ΠΈ структура сплавов ΠΊΠ΅ΠΊΠ° с ΠΆΠ΅Π»Π΅Π·Π½Ρ‹ΠΌ ΠΏΠΎΡ€ΠΎΡˆΠΊΠΎΠΌ. Π’ сплавлСнных ΠΎΠ±Ρ€Π°Π·Ρ†Π°Ρ… выявлСны Π½ΠΎΠ²Ρ‹Π΅ соСдинСния ΠΏΠ΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ состава: арсСниды ΠΈ ΡΡƒΠ»ΡŒΡ„ΠΈΠ΄Ρ‹ ΠΆΠ΅Π»Π΅Π·Π°, ΡΡƒΠ»ΡŒΡ„ΠΈΠ΄Ρ‹ ΠΌΡ‹ΡˆΡŒΡΠΊΠ° ΠΈ арсСнопириты. ИсслСдования ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρ‹ сплавлСния с ΠΆΠ΅Π»Π΅Π·ΠΎΠΌ ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‚ Ρ€Π°ΡΡ‚Π²ΠΎΡ€ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ Π² 10–15 Ρ€Π°Π· мСньшСй, Ρ‡Π΅ΠΌ соСдинСния ΠΌΡ‹ΡˆΡŒΡΠΊΠ° Π² исходном ΠΊΠ΅ΠΊΠ΅, Π½ΠΎ Π²Ρ‹ΡˆΠ΅ ΠΏΠΎΡ€ΠΎΠ³ΠΎΠ²ΠΎΠΉ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ ΠΏΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈΠΊΠ΅ TCLP. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ сплавлСниС с ΠΆΠ΅Π»Π΅Π·ΠΎΠΌ Π½Π΅ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Π½ΠΎ ΠΊ практичСскому использованию для ΡƒΡ‚ΠΈΠ»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΌΡ‹ΡˆΡŒΡΠΊΠΎΠ²ΠΈΡΡ‚Ρ‹Ρ… ΠΊΠ΅ΠΊΠΎΠ²

    Scalable stellar evolution forecasting: Deep learning emulation vs. hierarchical nearest neighbor interpolation

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    Many astrophysical applications require efficient yet reliable forecasts of stellar evolution tracks. One example is population synthesis, which generates forward predictions of models for comparison with observations. The majority of state-of-the-art population synthesis methods are based on analytic fitting formulae to stellar evolution tracks that are computationally cheap to sample statistically over a continuous parameter range. Running detailed stellar evolution codes, such as MESA, over wide and densely sampled parameter grids is prohibitively expensive computationally, while stellar-age based linear interpolation in-between sparsely sampled grid points leads to intolerably large systematic prediction errors. In this work, we provide two solutions of automated interpolation methods that find satisfactory trade-off points between cost-efficiency and accuracy. We construct a timescale-adapted evolutionary coordinate and use it in a two-step interpolation scheme that traces the evolution of stars from zero age main sequence all the way to the end of core helium burning while covering a mass range from 0.65{0.65} to 300 MβŠ™300 \, \mathrm{M_\odot}. The feedforward neural network regression model (first solution) that we train to predict stellar surface variables can make millions of predictions, sufficiently accurate over the entire parameter space, within tens of seconds on a 4-core CPU. The hierarchical nearest neighbor interpolation algorithm (second solution) that we hard-code to the same end achieves even higher predictive accuracy, the same algorithm remains applicable to all stellar variables evolved over time, but it is two orders of magnitude slower. Our methodological framework is demonstrated to work on the MIST data set. Finally, we discuss prospective applications and provide guidelines how to generalize our methods to higher dimensional parameter spaces.Comment: Submitted to A&
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