8,075 research outputs found

    Branching Ratio and Polarization of Bρ(ω)ρ(ω)B\to\rho(\omega)\rho(\omega) Decays in Perturbative QCD Approach

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    In this work, we calculated the branching ratios, polarization fractions and CP asymmetry of decay modes Bρ(ω)ρ(ω)B\to\rho(\omega)\rho(\omega) in the Perturbative QCD approach, which is based on kT\mathbf{k}_T factorization. After calculation, we find the the branching ratios of B0ρ+ρB^0 \to \rho^+ \rho^-, B+ρ+ρ0B^+ \to \rho^+ \rho^0 and B+ρ+ωB^+ \to \rho^+ \omega are at the order of 10510^{-5}, and their longitudinal polarization fractions are more than 90%. The above results agree with BarBar's measurements. We also predict the branching ratios and polarizations of B0ρ0ρ0B^0 \to \rho^0 \rho^0, B0ρ0ωB^0 \to \rho^0 \omega and B0ωωB^0 \to \omega \omega, which will be measured in future. We predicted the CP asymmetry of B0ρ+ρB^0 \to \rho^+ \rho^- and B+ρ+ρ0B^+ \to \rho^+ \rho^0, which will play important role in determining angle α\alpha.Comment: 13 pages, 4 figure

    Analysis and evaluation of the entropy indices of a static network structure

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    Although degree distribution entropy (DDE), SD structure entropy (SDSE), Wu structure entropy (WSE) and FB structure entropy (FBSE) are four static network structure entropy indices widely used to quantify the heterogeneity of a complex network, previous studies have paid little attention to their differing abilities to describe network structure. We calculate these four structure entropies for four benchmark networks and compare the results by measuring the ability of each index to characterize network heterogeneity. We find that SDSE and FBSE more accurately characterize network heterogeneity than WSE and DDE. We also find that existing benchmark networks fail to distinguish SDSE and FBSE because they cannot discriminate local and global network heterogeneity. We solve this problem by proposing an evolving caveman network that reveals the differences between structure entropy indices by comparing the sensitivities during the network evolutionary process. Mathematical analysis and computational simulation both indicate that FBSE describes the global topology variation in the evolutionary process of a caveman network, and that the other three structure entropy indices reflect only local network heterogeneity. Our study offers an expansive view of the structural complexity of networks and expands our understanding of complex network behavior.The authors would like to thank the financial support of the National Natural Science Foundation of China (71501153), Natural Science Foundation of Shaanxi Province of China (2016JQ6072), and the Foundation of China Scholarship Council (201506965039, 201606965057). (71501153 - National Natural Science Foundation of China; 2016JQ6072 - Natural Science Foundation of Shaanxi Province of China; 201506965039 - Foundation of China Scholarship Council; 201606965057 - Foundation of China Scholarship Council)Published versio

    Intrinsic Regularization Method in QCD

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    There exist certain intrinsic relations between the ultraviolet divergent graphs and the convergent ones at the same loop order in renormalizable quantum field theories. Whereupon we may establish a new method, the intrinsic regularization method, to regularize those divergent graphs. In this paper, we apply this method to QCD at the one loop order. It turns out to be satisfactory:The gauge invariance is preserved manifestly and the results are the same as those derived by means of other regularization methods.Comment: 18 pages, LaTeX , 7 figures in a separate compressed postscript fil
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