53,305 research outputs found

    A study of the correlations between jet quenching observables at RHIC

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    Focusing on four types of correlation plots, RAAR_{\rm AA} vs. v2v_2, RAAR_{\rm AA} vs. IAAI_{\rm AA}, IAAI_{\rm AA} vs. v2IAAv_2^{I_{\rm AA}} and v2v_2 vs.\ v2IAAv_2^{I_{\rm AA}}, we demonstrate how the centrality dependence of \emph{correlations} between multiple jet quenching observables provide valuable insight into the energy loss mechanism in a quark-gluon plasma. In particular we find that a qualitative energy loss model gives a good description of RAAR_{\rm AA} vs.\ v2v_2 only when we take ΔEl3\Delta E\sim l^3 and a medium geometry generated by a model of the Color Glass Condensate. This same ΔEl3\Delta E\sim l^3 model also qualitatively describes the trigger pTp_T dependence of RAAR_{\rm AA} vs.\ IAAI_{\rm AA} data and makes novel predictions for the centrality dependence for this RAAR_{\rm AA} vs.\ IAAI_{\rm AA} correlation. Current data suggests, albeit with extremely large uncertainty, that v2IAAv2v_2^{I_{\rm AA}}\gg v_2, a correlation that is difficult to reproduce in current energy loss models.Comment: 6 pages, 6 figure

    Magnetic Component of Quark-Gluon Plasma

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    We describe recent developments of the "magnetic scenario" of sQGP. We show that at T=(0.81.3)TcT=(0.8-1.3)T_c there is a dense plasma of monopoles, capable of supporting metastable flux tubes. Their existence allows to quantitatively explained the non-trivial TT-dependence of the static QˉQ\bar Q Q potential energy calculated on the lattice. By molecular dynamics simulation we derived transport properties (shear viscosity and diffusion constant) and showed that the best liquid is given by most symmetric plasma, with 50%-50% of electric and magnetic charges. The results are close to those of the ``perfect liquid'' observed at RHIC.Comment: Contribution to the 20th International Conference on Nucleus Nucleus Collisions (Quark Matter 2008

    Pairing in Asymmetrical Fermi Systems with Intra- and Inter-Species Correlations

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    We consider inter- and intra-species pairing interactions in an asymmetrical Fermi system. Using equation of motion method, we obtain coupled mean-field equations for superfluid gap functions and population densities. We construct a phase diagram across BCS-BEC regimes. Due to intra-species correlations, the BCS singlet superfluid state can sustain finite polarizations, PP. For larger PP, we find phase separations in BCS and BEC regimes. A superfluid phase exists for all PP deep in BEC regime. Our results may apply to pairing in ultracold fermions, nuclear and quark matter physics.Comment: Contents revised. Added reference

    Enhancing Perceptual Attributes with Bayesian Style Generation

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    Deep learning has brought an unprecedented progress in computer vision and significant advances have been made in predicting subjective properties inherent to visual data (e.g., memorability, aesthetic quality, evoked emotions, etc.). Recently, some research works have even proposed deep learning approaches to modify images such as to appropriately alter these properties. Following this research line, this paper introduces a novel deep learning framework for synthesizing images in order to enhance a predefined perceptual attribute. Our approach takes as input a natural image and exploits recent models for deep style transfer and generative adversarial networks to change its style in order to modify a specific high-level attribute. Differently from previous works focusing on enhancing a specific property of a visual content, we propose a general framework and demonstrate its effectiveness in two use cases, i.e. increasing image memorability and generating scary pictures. We evaluate the proposed approach on publicly available benchmarks, demonstrating its advantages over state of the art methods.Comment: ACCV-201
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