3,346 research outputs found

    CPCP violation in charmed hadron decays into neutral kaons

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    We find a new CPCP violating effect in charmed hadron decays into neutral kaons, which is induced by the interference between the Cabibbo-favored and doubly Cabibbo-suppressed amplitudes with the K0K0K^{0}-\overline K^{0} mixing. It is estimated to be of order of O(103)\mathcal{O}(10^{-3}), much larger than the direct CPCP asymmetry, but missed in the literature. To reveal this new CPCP violation effect, we propose a new observable, the difference of the CPCP asymmetries in the D+π+KS0D^{+}\to \pi^{+}K_S^0 and Ds+K+KS0D_{s}^{+}\to K^{+} K_S^0 modes. Once the new effect is determined by experiments, the direct CPCP asymmetry then can be extracted and used to search for new physics.Comment: 6 pages, 3 figures. Contribution to the proceeding of The 15th International Conference on Flavor Physics & CP Violation, 5-9 June 2017, Prague, Czech Republi

    Implications on the first observation of charm CPV at LHCb

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    Very recently, the LHCb Collaboration observed the CPCP violation (CPV) in the charm sector for the first time, with ΔACPdirACP(D0K+K)ACP(D0π+π)=(1.54±0.29)×103\Delta A_{CP}^{\rm dir}\equiv A_{CP}(D^0\to K^+K^-)-A_{CP}(D^0\to \pi^+\pi^-)=(-1.54\pm0.29)\times10^{-3}. This result is consistent with our prediction of ΔACPSM=(0.571.87)×103\Delta A_{CP}^{\rm SM}=(-0.57\sim -1.87)\times 10^{-3} obtained in the factorization-assisted topological-amplitude (FAT) approach in [PRD86,036012(2012)]. It implies that the current understanding of the penguin dynamics in charm decays in the Standard Model is reasonable. Motivated by the success of the FAT approach, we further suggest to measure the D+K+Kπ+D^+\to K^+K^-\pi^+ decay, which is the next potential mode to reveal the CPV of the same order as 10310^{-3}.Comment: 10 page

    Branching ratios and direct CP asymmetries in DPPD\to PP decays

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    We propose a theoretical framework for analyzing two-body nonleptonic DD meson decays, based on the factorization of short-distance (long-distance) dynamics into Wilson coefficients (hadronic matrix elements of four-fermion operators). The parametrization of hadronic matrix elements in terms of several nonperturbative quantities is demonstrated for the DPPD\to PP decays, PP denoting a pseudoscalar meson. We consider the evolution of Wilson coefficients with energy release in individual decay modes, and the Glauber strong phase associated with the pion in nonfactorizable annihilation amplitudes, that is attributed to the unique role of the pion as a Nambu-Goldstone boson and a quark-anti-quark bound state simultaneously. The above inputs improve the global fit to the branching ratios involving the η\eta' meson, and resolves the long-standing puzzle from the D0π+πD^0\to\pi^+\pi^- and D0K+KD^0\to K^+K^- branching ratios, respectively. Combining short-distance dynamics associated with penguin operators and the hadronic parameters determined from the global fit to branching ratios, we predict direct CP asymmetries, to which the quark loops and the scalar penguin annihilation give dominant contributions. In particular, we predict ΔACPACP(K+K)ACP(π+π)=1.00×103\Delta A_{\rm CP}\equiv A_{\rm CP}(K^+K^-)-A_{\rm CP}(\pi^+\pi^-)=-1.00\times 10^{-3}, lower than the LHCb and CDF data.Comment: 17 pages, 3 figures, matches published versio

    Branching ratios and direct CP asymmetries in DPVD\to PV decays

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    We study the two-body hadronic DPVD\to PV decays, where PP (VV) denotes a pseudoscalar (vector) meson, in the factorization-assisted topological-amplitude approach proposed in our previous work. This approach is based on the factorization of short-distance and long-distance dynamics into Wilson coefficients and hadronic matrix elements of four-fermion operators, respectively, with the latter being parametrized in terms of several nonperturbative quantities. We further take into account the ρ\rho-ω\omega mixing effect, which improves the global fit to the branching ratios involving the ρ0\rho^0 and ω\omega mesons. Combining short-distance dynamics associated with penguin operators and the hadronic parameters determined from the global fit to branching ratios, we predict direct CPCP asymmetries. In particular, the direct CPCP asymmetries in the D0K0K0, K0K0D^0\to K^0\overline{K}^{*0},~\overline{K}^0K^{*0}, D+π+ρ0D^+\to\pi^+\rho^0, and Ds+K+ω, K+ϕD_s^+\to K^+\omega,~K^+\phi decays are found to be of O(103){\cal O}(10^{-3}), which can be observed at the LHCb or future Belle II experiment. We also predict the CPCP asymmetry observables of some neutral DD meson decays.Comment: 16 pages, 2 figure

    Uncertainty Quantification of Nonlinear Lagrangian Data Assimilation Using Linear Stochastic Forecast Models

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    Lagrangian data assimilation exploits the trajectories of moving tracers as observations to recover the underlying flow field. One major challenge in Lagrangian data assimilation is the intrinsic nonlinearity that impedes using exact Bayesian formulae for the state estimation of high-dimensional systems. In this paper, an analytically tractable mathematical framework for continuous-in-time Lagrangian data assimilation is developed. It preserves the nonlinearity in the observational processes while approximating the forecast model of the underlying flow field using linear stochastic models (LSMs). A critical feature of the framework is that closed analytic formulae are available for solving the posterior distribution, which facilitates mathematical analysis and numerical simulations. First, an efficient iterative algorithm is developed in light of the analytically tractable statistics. It accurately estimates the parameters in the LSMs using only a small number of the observed tracer trajectories. Next, the framework facilitates the development of several computationally efficient approximate filters and the quantification of the associated uncertainties. A cheap approximate filter with a diagonal posterior covariance derived from the asymptotic analysis of the posterior estimate is shown to be skillful in recovering incompressible flows. It is also demonstrated that randomly selecting a small number of tracers at each time step as observations can reduce the computational cost while retaining the data assimilation accuracy. Finally, based on a prototype model in geophysics, the framework with LSMs is shown to be skillful in filtering nonlinear turbulent flow fields with strong non-Gaussian features
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