3,903 research outputs found

    On Bose-Einstein condensate inside moving exciton-phonon droplets

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    We explore a nonlinear field model to describe the interplay between the ability of excitons to be Bose condensed and their interaction with other modes of a crystal. We apply our consideration to the long-living paraexcitons in Cu2O. Taking into account the exciton-phonon interaction and introducing a coherent phonon part of the moving condensate, we solve quasi-stationary equations for the exciton-phonon condensate. These equations support localized solutions, and we discuss the conditions for the inhomogeneous condensate to appear in the crystal. Allowable values of the characteristic width of ballistic condensates are estimated. The stability conditions of the moving condensate are analyzed by use of Landau arguments, and Landau critical parameters appear in the theory. It follows that, under certain conditions, the condensate can move through the crystal as a stable droplet. To separate the coherent and non-coherent parts of the exciton-phonon packet, we suggest to turn off the phonon wind by the changes in design of the 3D crystal and boundary conditions for the moving droplet.Comment: 13 pages, LaTeX, three eps figures are incorporated by epsf. submitted to Phys. Letters

    Attentive Neural Architecture Incorporating Song Features For Music Recommendation

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    Recommender Systems are an integral part of music sharing platforms. Often the aim of these systems is to increase the time, the user spends on the platform and hence having a high commercial value. The systems which aim at increasing the average time a user spends on the platform often need to recommend songs which the user might want to listen to next at each point in time. This is different from recommendation systems which try to predict the item which might be of interest to the user at some point in the user lifetime but not necessarily in the very near future. Prediction of the next song the user might like requires some kind of modeling of the user interests at the given point of time. Attentive neural networks have been exploiting the sequence in which the items were selected by the user to model the implicit short-term interests of the user for the task of next item prediction, however we feel that the features of the songs occurring in the sequence could also convey some important information about the short-term user interest which only the items cannot. In this direction, we propose a novel attentive neural architecture which in addition to the sequence of items selected by the user, uses the features of these items to better learn the user short-term preferences and recommend the next song to the user.Comment: Accepted as a paper at the 12th ACM Conference on Recommender Systems (RecSys 18

    B-Decay CP Asymmetries, Discrete Ambiguities and New Physics

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    The first measurements of CP violation in the BB system will likely probe sin2α\sin 2\alpha, sin2β\sin 2\beta and cos2γ\cos 2\gamma. Assuming that the CP angles α\alpha, β\beta and γ\gamma are the interior angles of the unitarity triangle, these measurements determine the angle set (α,β,γ)(\alpha,\beta,\gamma) except for a twofold discrete ambiguity. If one allows for the possibility of new physics, the presence of this discrete ambiguity can make its discovery difficult: if only one of the two candidate solutions is consistent with constraints from other measurements in the BB and KK systems, one is not sure whether new physics is present or not. We review the methods used to resolve the discrete ambiguity and show that, even in the presence of new physics, they can usually be used to uncover this new physics. There are some exceptions, which we describe in detail. We systematically scan the parameter space and present examples of values of (α,β,γ)(\alpha,\beta,\gamma) and the new-physics parameters which correspond to all possibilities. Finally, we show that if one relaxes the assumption that the bag parameters \BBd and \BK are positive, one can no longer definitively establish the presence of new physics.Comment: 29 pages, LaTeX, 1 figures, presentation substantially reworked, physics conclusions unchanged. This version will be published in Phys. Rev.

    Structural phase control of (La1.48_{1.48}Nd0.40_{0.40}Sr0.12_{0.12})CuO4_4 thin films by epitaxial growth technique

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    Epitaxial growth of (La1.48_{1.48}Nd0.40_{0.40}Sr0.12_{0.12})CuO4_4 thin films was studied by pulsed-laser deposition technique on three different substrates, SrTiO3_3 (100), LaSrAlO4_4 (001), and YAlO3_3 (001). The (Nd,Sr,Ce)2_2CuO4_4-type structure appears at the initial growth stage on SrTiO3_3 (100) when the film is deposited under the growth conditions optimized for (La,Sr)2_2CuO4_4. This (Nd,Sr,Ce)2_2CuO4_4-type structure can be eliminated by increasing the substrate temperature and the laser repetition frequency. Films on LaSrAlO4_4 (001) maintain a La2_2CuO4_4-type structure as bulk samples, but those on YAlO3_3 (001) show phase separation into La2_2CuO4_4- and Nd2_2CuO4_4-type structures. Such complicated results are explained in terms of the competition between lattice misfit and thermodynamic conditions. Interestingly the films with La2_2CuO4_4-type structure prepared on SrTiO3_3 and LaSrAlO4_4 show different surface structures and transport properties. The results indicate the possibility of controlling charge stripes of (La1.48_{1.48}Nd0.40_{0.40}Sr0.12_{0.12})CuO4_4 as was demonstrated in (La,Ba)2_2CuO4_4 thin films by Sato et al. (Phys. Rev. B {\bf 62}, R799 (2000)).Comment: 5 pages, 6 EPS figure, accepted for publication in Phys. Rev.
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