13 research outputs found

    Constraining the dark energy with galaxy clusters X-ray data

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    The equation of state characterizing the dark energy component is constrained by combining Chandra observations of the X-ray luminosity of galaxy clusters with independent measurements of the baryonic matter density and the latest measurements of the Hubble parameter as given by the HST key project. By assuming a spatially flat scenario driven by a "quintessence" component with an equation of state px=ωρxp_x = \omega \rho_x we place the following limits on the cosmological parameters ω\omega and Ωm\Omega_{\rm{m}}: (i) 1ω0.55-1 \leq \omega \leq -0.55 and Ωm=0.320.014+0.027\Omega_{\rm m} = 0.32^{+0.027}_{-0.014} (1σ\sigma) if the equation of state of the dark energy is restricted to the interval 1ω<0-1 \leq \omega < 0 (\emph{usual} quintessence) and (ii) ω=1.290.792+0.686\omega = -1.29^{+0.686}_{-0.792} and Ωm=0.310.034+0.037\Omega_{\rm{m}} = 0.31^{+0.037}_{-0.034} (1σ1\sigma) if ω\omega violates the null energy condition and assume values <1< -1 (\emph{extended} quintessence or ``phantom'' energy). These results are in good agreement with independent studies based on supernovae observations, large-scale structure and the anisotropies of the cosmic background radiation.Comment: 6 pages, 4 figures, LaTe

    Application of pulse combustion technology in spray drying process

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    The paper presents development of valved pulse combustor designed for application in drying process and drying tests performed in a specially built installation. Laser technique was applied to investigate the flow field and structure of dispersed phase during pulse combustion spray drying process. PDA technique was used to determine initial atomization parameters as well as particle size distribution, velocity of the particles, mass concentration of liquid phase in the cross section of spray stream, etc., in the drying chamber during drying tests. Water was used to estimate the level of evaporation and 5 and 10% solutions of sodium chloride to carry out drying tests. The Computational Fluid Dynamics technique was used to perform theoretical predictions of time-dependent velocity, temperature distribution and particle trajectories in the drying chamber. Satisfactory agreement between calculations and experimental results was found in certain regions of the drying chamber

    The Dendritic Cytoskeleton as a Computational Device: An Hypothesis

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