6,188 research outputs found

    Coarsening Dynamics of Granular Heaplets in Tapped Granular Layers

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    A semi-continuum model is introduced to study the dynamics of the formation of granular heaplets in tapped granular layers. By taking into account the energy dissipation of collisions and screening effects due to avalanches, this model is able to reproduce qualitatively the pattern of these heaplets. Our simulations show that the granular heaplets are characterised by an effective surface tension which depends on the magnitude of the tapping intensity. Also, we observe that there is a coarsening effect in that the average size of the heaplets, V grows as the number of taps k increases. The growth law at intermediate times can be fitted by a scaling function V ~ k^z but the range of validity of the power law is limited by size effects. The growth exponent z appears to diverge as the tapping intensity is increased.Comment: 4 pages, 4 figure

    A box-covering algorithm for fractal scaling in scale-free networks

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    A random sequential box-covering algorithm recently introduced to measure the fractal dimension in scale-free networks is investigated. The algorithm contains Monte Carlo sequential steps of choosing the position of the center of each box, and thereby, vertices in preassigned boxes can divide subsequent boxes into more than one pieces, but divided boxes are counted once. We find that such box-split allowance in the algorithm is a crucial ingredient necessary to obtain the fractal scaling for fractal networks; however, it is inessential for regular lattice and conventional fractal objects embedded in the Euclidean space. Next the algorithm is viewed from the cluster-growing perspective that boxes are allowed to overlap and thereby, vertices can belong to more than one box. Then, the number of distinct boxes a vertex belongs to is distributed in a heterogeneous manner for SF fractal networks, while it is of Poisson-type for the conventional fractal objects.Comment: 12 pages, 11 figures, a proceedings of the conference, "Optimization in complex networks." held in Los Alamo

    Nonlocal evolution of weighted scale-free networks

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    We introduce the notion of globally updating evolution for a class of weighted networks, in which the weight of a link is characterized by the amount of data packet transport flowing through it. By noting that the packet transport over the network is determined nonlocally, this approach can explain the generic nonlinear scaling between the strength and the degree of a node. We demonstrate by a simple model that the strength-driven evolution scheme recently introduced can be generalized to a nonlinear preferential attachment rule, generating the power-law behaviors in degree and in strength simultaneously.Comment: 4 pages, 4 figures, final version published in PR

    Self-similar disk packings as model spatial scale-free networks

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    The network of contacts in space-filling disk packings, such as the Apollonian packing, are examined. These networks provide an interesting example of spatial scale-free networks, where the topology reflects the broad distribution of disk areas. A wide variety of topological and spatial properties of these systems are characterized. Their potential as models for networks of connected minima on energy landscapes is discussed.Comment: 13 pages, 12 figures; some bugs fixed and further discussion of higher-dimensional packing

    High-pressure spin shifts in the pseudogap regime of superconducting YBa2Cu4O8 as revealed by 17O NMR

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    A new NMR anvil cell design is used for measuring the influence of high pressure on the electronic properties of the high-temperature superconductor YBa2_2Cu4_4O8_8 above the superconducting transition temperature TcT_{\rm c}. It is found that pressure increases the spin shift at all temperatures in such a way that the pseudo-gap feature has almost disappeared at 63 kbar. This change of the temperature dependent spin susceptibility can be explained by a pressure induced proportional decrease (factor of two) of a temperature dependent component, and an increase (factor of 9) of a temperature independent component, contrary to the effects of increasing doping. The results demonstrate that one can use anvil cell NMR to investigate the tuning of the electronic properties of correlated electronic materials with pressure.Comment: 4 pages, 4 figures, accepted for publication in Phys. Rev.

    Load distribution in weighted complex networks

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    We study the load distribution in weighted networks by measuring the effective number of optimal paths passing through a given vertex. The optimal path, along which the total cost is minimum, crucially depend on the cost distribution function pc(c)p_c(c). In the strong disorder limit, where pc(c)c1p_c(c)\sim c^{-1}, the load distribution follows a power law both in the Erd\H{o}s-R\'enyi (ER) random graphs and in the scale-free (SF) networks, and its characteristics are determined by the structure of the minimum spanning tree. The distribution of loads at vertices with a given vertex degree also follows the SF nature similar to the whole load distribution, implying that the global transport property is not correlated to the local structural information. Finally, we measure the effect of disorder by the correlation coefficient between vertex degree and load, finding that it is larger for ER networks than for SF networks.Comment: 4 pages, 4 figures, final version published in PR

    Scale-free random branching tree in supercritical phase

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    We study the size and the lifetime distributions of scale-free random branching tree in which kk branches are generated from a node at each time step with probability qkkγq_k\sim k^{-\gamma}. In particular, we focus on finite-size trees in a supercritical phase, where the mean branching number C=kkqkC=\sum_k k q_k is larger than 1. The tree-size distribution p(s)p(s) exhibits a crossover behavior when 2<γ<32 < \gamma < 3; A characteristic tree size scs_c exists such that for sscs \ll s_c, p(s)sγ/(γ1)p(s)\sim s^{-\gamma/(\gamma-1)} and for sscs \gg s_c, p(s)s3/2exp(s/sc)p(s)\sim s^{-3/2}\exp(-s/s_c), where scs_c scales as (C1)(γ1)/(γ2)\sim (C-1)^{-(\gamma-1)/(\gamma-2)}. For γ>3\gamma > 3, it follows the conventional mean-field solution, p(s)s3/2exp(s/sc)p(s)\sim s^{-3/2}\exp(-s/s_c) with sc(C1)2s_c\sim (C-1)^{-2}. The lifetime distribution is also derived. It behaves as (t)t(γ1)/(γ2)\ell(t)\sim t^{-(\gamma-1)/(\gamma-2)} for 2<γ<32 < \gamma < 3, and t2\sim t^{-2} for γ>3\gamma > 3 when branching step ttc(C1)1t \ll t_c \sim (C-1)^{-1}, and (t)exp(t/tc)\ell(t)\sim \exp(-t/t_c) for all γ>2\gamma > 2 when ttct \gg t_c. The analytic solutions are corroborated by numerical results.Comment: 6 pages, 6 figure

    Single-shot fluctuations in waveguided high-harmonic generation

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    For exploring the application potential of coherent soft x-ray (SXR) and extreme ultraviolet radiation (XUV) provided by high-harmonic generation, it is important to characterize the central output parameters. Of specific importance are pulse-to-pulse (shot-to-shot) fluctuations of the high-harmonic output energy, fluctuations of the direction of the emission (pointing instabilities), and fluctuations of the beam divergence and shape that reduce the spatial coherence. We present the first single-shot measurements of waveguided high-harmonic generation in a waveguided (capillary-based) geometry. Using a capillary waveguide filled with Argon gas as the nonlinear medium, we provide the first characterization of shot-to-shot fluctuations of the pulse energy, of the divergence and of the beam pointing. We record the strength of these fluctuations vs. two basic input parameters, which are the drive laser pulse energy and the gas pressure in the capillary waveguide. In correlation measurements between single-shot drive laser beam profiles and single-shot high-harmonic beam profiles we prove the absence of drive laser beam-pointing-induced fluctuations in the high-harmonic output. We attribute the main source of high-harmonic fluctuations to ionization-induced nonlinear mode mixing during propagation of the drive laser pulse inside the capillary waveguide

    Q2Q_2-free families in the Boolean lattice

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    For a family F\mathcal{F} of subsets of [n]=\{1, 2, ..., n} ordered by inclusion, and a partially ordered set P, we say that F\mathcal{F} is P-free if it does not contain a subposet isomorphic to P. Let ex(n,P)ex(n, P) be the largest size of a P-free family of subsets of [n]. Let Q2Q_2 be the poset with distinct elements a, b, c, d, a<b, c<d; i.e., the 2-dimensional Boolean lattice. We show that 2No(N)ex(n,Q2)2.283261N+o(N),2N -o(N) \leq ex(n, Q_2)\leq 2.283261N +o(N), where N=(nn/2)N = \binom{n}{\lfloor n/2 \rfloor}. We also prove that the largest Q2Q_2-free family of subsets of [n] having at most three different sizes has at most 2.20711N members.Comment: 18 pages, 2 figure

    Shortest paths and load scaling in scale-free trees

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    The average node-to-node distance of scale-free graphs depends logarithmically on N, the number of nodes, while the probability distribution function (pdf) of the distances may take various forms. Here we analyze these by considering mean-field arguments and by mapping the m=1 case of the Barabasi-Albert model into a tree with a depth-dependent branching ratio. This shows the origins of the average distance scaling and allows a demonstration of why the distribution approaches a Gaussian in the limit of N large. The load (betweenness), the number of shortest distance paths passing through any node, is discussed in the tree presentation.Comment: 8 pages, 8 figures; v2: load calculations extende
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