32,505 research outputs found

    Quark Orbital Angular Momentum in the Baryon

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    Analytical and numerical results, for the orbital and spin content carried by different quark flavors in the baryons, are given in the chiral quark model with symmetry breaking. The reduction of the quark spin, due to the spin dilution in the chiral splitting processes, is transferred into the orbital motion of quarks and antiquarks. The orbital angular momentum for each quark flavor in the proton as a function of the partition factor κ\kappa and the chiral splitting probability aa is shown. The cancellation between the spin and orbital contributions in the spin sum rule and in the baryon magnetic moments is discussed.Comment: 26 pages, 3 figures, revised version with minor eq. no and ref. no. corrections. Discussion on the Λ\Lambda spin and a new ref. are adde

    Very Long Baseline Array observations of the Intraday Variable source J1128+592

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    Short time-scale flux density variations of flat spectrum radio sources are often explained by the scattering of radio waves in the turbulent, ionized Interstellar Matter of the Milky Way. One of the most convincing observational arguments in favor of this is the annual modulation of the variability time-scale caused by the Earth orbital motion around the Sun. J1128+592 is an IDV source with a possible annual modulation in its variability time-scale. We observed the source in 6 epochs with the VLBA at 5, 8 and 15 GHz in total intensity and polarization. The VLBA observations revealed an east-west oriented core-jet structure. Its position angle agrees with the angle of anisotropy derived from the annual modulation model. No significant long-term structural changes were observed with VLBI on mas-scales, however, compared to archival data, the VLBI core size is expanded. This expansion offers a possible explanation to the observed decrease of the strength of IDV. VLBI polarimetry revealed significant changes in the electric vector position angle and Rotation Measure of the core and jet. Part of the observed RM variability could be attributed to a scattering screen (37 pc distance), which covers the source (core and jet) and which may be responsible for the IDV. Superposition of polarized sub-components below the angular resolution limit may affect the observed RM as well.Comment: accepted for A&A (11 pages, 11 figures

    Nucleon spin-flavor structure in SU(3) breaking chiral quark model

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    The SU(3) symmetric chiral quark model, which describes interactions between quarks, gluons and the Goldstone bosons, explains reasonably well many aspects of the flavor and spin structure of the proton, except for the values of f3/f8f_3/f_8 and Δ3/Δ8\Delta_3/\Delta_8. Introducing the SU(3)-breaking effect suggested by the mass difference between the strange and nonstrange quarks, we find that this discrepancy can be removed and better overall agreement obtained.Comment: 18 pages, Latex, 4 tables. Phys. Rev. D (in press, submitted/revised in June/Nov 1996

    Quantum Dynamical Rˇ\check{R}- Matrix with Spectral Parameter from Fusion

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    A quantum dynamical Rˇ\check{R}-matrix with spectral parameter is constructed by fusion procedure. This spin-1 Rˇ\check{R}-matrix is connected with Lie algebra so(3)so(3) and does not satisfy the condition of translation invariance.Comment: 6 pages, LaTeX, no figure

    Scaling near Quantum Chaos Border in Interacting Fermi Systems

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    The emergence of quantum chaos for interacting Fermi systems is investigated by numerical calculation of the level spacing distribution P(s)P(s) as function of interaction strength UU and the excitation energy ϵ\epsilon above the Fermi level. As UU increases, P(s)P(s) undergoes a transition from Poissonian (nonchaotic) to Wigner-Dyson (chaotic) statistics and the transition is described by a single scaling parameter given by Z=(Uϵα−u0)ϵ1/2νZ = (U \epsilon^{\alpha}-u_0) \epsilon^{1/2\nu}, where u0u_0 is a constant. While the exponent α\alpha, which determines the global change of the chaos border, is indecisive within a broad range of 0.9∼2.00.9 \sim 2.0, finite value of ν\nu, which comes from the increase of the Fock space size with ϵ\epsilon, suggests that the transition becomes sharp as ϵ\epsilon increases.Comment: 4 pages, 4 figures, to appear in Phys. Rev. E (Rapid Communication

    A genuine maximally seven-qubit entangled state

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    Contrary to A.Borras et al.'s [1] conjecture, a genuine maximally seven-qubit entangled state is presented. We find a seven-qubit state whose marginal density matrices for subsystems of 1,2- qubits are all completely mixed and for subsystems of 3-qubits is almost completely mixed

    Drought events and their effects on vegetation productivity in China

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    Many parts of the world have experienced frequent and severe droughts during the last few decades. Most previous studies examined the effects of specific drought events on vegetation productivity. In this study, we characterized the drought events in China from 1982 to 2012 and assessed their effects on vegetation productivity inferred from satellite data. We first assessed the occurrence, spatial extent, frequency, and severity of drought using the Palmer Drought Severity Index (PDSI). We then examined the impacts of droughts on China\u27s terrestrial ecosystems using the Normalized Difference Vegetation Index (NDVI). During the period 1982–2012, China\u27s land area (%) experiencing drought showed an insignificant trend. However, the drought conditions had been more severe over most regions in northern parts of China since the end of the 1990s, indicating that droughts hit these regions more frequently due to the drier climate. The severe droughts substantially reduced annual and seasonal NDVI. The magnitude and direction of the detrended NDVI under drought stress varied with season and vegetation type. The inconsistency between the regional means of PDSI and detrended NDVI could be attributed to different responses of vegetation to drought and the timing, duration, severity, and lag effects of droughts. The negative effects of droughts on vegetation productivity were partly offset by the enhancement of plant growth resulting from factors such as lower cloudiness, warming climate, and human activities (e.g., afforestation, improved agricultural management practices)

    Recent progress in random metric theory and its applications to conditional risk measures

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    The purpose of this paper is to give a selective survey on recent progress in random metric theory and its applications to conditional risk measures. This paper includes eight sections. Section 1 is a longer introduction, which gives a brief introduction to random metric theory, risk measures and conditional risk measures. Section 2 gives the central framework in random metric theory, topological structures, important examples, the notions of a random conjugate space and the Hahn-Banach theorems for random linear functionals. Section 3 gives several important representation theorems for random conjugate spaces. Section 4 gives characterizations for a complete random normed module to be random reflexive. Section 5 gives hyperplane separation theorems currently available in random locally convex modules. Section 6 gives the theory of random duality with respect to the locally L0−L^{0}-convex topology and in particular a characterization for a locally L0−L^{0}-convex module to be L0−L^{0}-pre−-barreled. Section 7 gives some basic results on L0−L^{0}-convex analysis together with some applications to conditional risk measures. Finally, Section 8 is devoted to extensions of conditional convex risk measures, which shows that every representable L∞−L^{\infty}-type of conditional convex risk measure and every continuous Lp−L^{p}-type of convex conditional risk measure (1≤p<+∞1\leq p<+\infty) can be extended to an LF∞(E)−L^{\infty}_{\cal F}({\cal E})-type of σϵ,λ(LF∞(E),LF1(E))−\sigma_{\epsilon,\lambda}(L^{\infty}_{\cal F}({\cal E}), L^{1}_{\cal F}({\cal E}))-lower semicontinuous conditional convex risk measure and an LFp(E)−L^{p}_{\cal F}({\cal E})-type of Tϵ,λ−{\cal T}_{\epsilon,\lambda}-continuous conditional convex risk measure (1≤p<+∞1\leq p<+\infty), respectively.Comment: 37 page
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