2,405 research outputs found

    Isospin and a possible interpretation of the newly observed X(1576)

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    Recently, the BES collaboration observed a broad resonant structure X(1576) with a large width being around 800 MeV and assigned its JPCJ^{PC} number to 1−−1^{--}. We show that the isospin of this resonant structure should be assigned to 1. This state might be a molecule state or a tetraquark state. We study the consequences of a possible K∗(892)K^*(892)-κˉ{\bar \kappa} molecular interpretation. In this scenario, the broad width can easily be understood. By using the data of B(J/ψ→Xπ0)⋅B(X→K+K−)B(J/\psi\to X\pi^0)\cdot B(X\to K^+K^-), the branching ratios B(J/ψ→Xπ0)⋅B(X→π+π−)B(J/\psi\to X\pi^0)\cdot B(X\to \pi^+\pi^-) and B(J/ψ→Xπ0)⋅B(X→K+K−π+π−)B(J/\psi\to X\pi^0)\cdot B(X\to K^+K^-\pi^+\pi^-) are further estimated in this molecular state scenario. It is shown that the X→π+π−X\to \pi^+\pi^- decay mode should have a much larger branching ratio than the X→K+K−X\to K^+K^- decay mode has. As a consequence, this resonant structure should also be seen in the J/ψ→π+π−π0J/\psi\to \pi^+\pi^-\pi^0 and J/ψ→K+K−π+π−π0J/\psi\to K^+K^-\pi^+\pi^-\pi^0 processes, especially in the former process. Carefully searching this resonant structure in the J/ψ→π+π−π0J/\psi\to \pi^+\pi^-\pi^0 and J/ψ→K+K−π+π−π0J/\psi\to K^+K^-\pi^+\pi^-\pi^0 decays should be important for understanding the structure of X(1567).Comment: 5 pages, ReVTeX4, 3 figures. Version accepted for publication as a brief report in Phys. Rev.

    Enhanced breaking of heavy quark spin symmetry

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    Heavy quark spin symmetry is useful to make predictions on ratios of decay or production rates of systems involving heavy quarks. The breaking of spin symmetry is generally of the order of O(ΛQCD/mQ)O({\Lambda_{\rm QCD}/m_Q}), with ΛQCD\Lambda_{\rm QCD} the scale of QCD and mQm_Q the heavy quark mass. In this paper, we will show that a small SS- and DD-wave mixing in the wave function of the heavy quarkonium could induce a large breaking in the ratios of partial decay widths. As an example, we consider the decays of the Υ(10860)\Upsilon(10860) into the χbJω (J=0,1,2)\chi_{bJ}\omega\, (J=0,1,2), which were recently measured by the Belle Collaboration. These decays exhibit a huge breaking of the spin symmetry relation were the Υ(10860)\Upsilon(10860) a pure 5S5S bottomonium state. We propose that this could be a consequence of a mixing of the SS-wave and DD-wave components in the Υ(10860)\Upsilon(10860). Prediction on the ratio Γ(Υ(10860)→χb0ω)/Γ(Υ(10860)→χb2ω)\Gamma(\Upsilon(10860)\to\chi_{b0}\omega)/\Gamma(\Upsilon(10860)\to\chi_{b2}\omega) is presented assuming that the decay of the DD-wave component is dominated by the coupled-channel effects.Comment: 13 pages, 5 figures. Discussion extended, version to appear in Phys.Lett.

    Automatic Objects Removal for Scene Completion

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    With the explosive growth of web-based cameras and mobile devices, billions of photographs are uploaded to the internet. We can trivially collect a huge number of photo streams for various goals, such as 3D scene reconstruction and other big data applications. However, this is not an easy task due to the fact the retrieved photos are neither aligned nor calibrated. Furthermore, with the occlusion of unexpected foreground objects like people, vehicles, it is even more challenging to find feature correspondences and reconstruct realistic scenes. In this paper, we propose a structure based image completion algorithm for object removal that produces visually plausible content with consistent structure and scene texture. We use an edge matching technique to infer the potential structure of the unknown region. Driven by the estimated structure, texture synthesis is performed automatically along the estimated curves. We evaluate the proposed method on different types of images: from highly structured indoor environment to the natural scenes. Our experimental results demonstrate satisfactory performance that can be potentially used for subsequent big data processing: 3D scene reconstruction and location recognition.Comment: 6 pages, IEEE International Conference on Computer Communications (INFOCOM 14), Workshop on Security and Privacy in Big Data, Toronto, Canada, 201
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