8,932 research outputs found

    Quark-Lepton Symmetry In Five Dimensions

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    We construct a complete five dimensional Quark-Lepton symmetric model, with all fields propagating in the bulk. The extra dimension forms an S1/Z2×Z2′S^1/Z_2\times Z_2' orbifold with the zero mode fermions corresponding to standard model quarks localised at one fixed point. Zero modes corresponding to left(right)-chiral leptons are localised at (near) the other fixed point. This localisation pattern is motivated by the symmetries of the model. Shifting the right-handed neutrinos and charged leptons slightly from the fixed point provides a new mechanism for understanding the absence of relations of the type me=mum_e=m_u or me=mdm_e=m_d in Quark-Lepton symmetric models. Flavour changing neutral currents resulting from Kaluza Klein gluon exchange, which typically arise in the quark sector of split fermion models, are suppressed due to the localisation of quarks at one point. The separation of quarks and leptons in the compact extra dimension also acts to suppress the proton decay rate. This permits the extra dimension to be much larger than that obtained in a previous construct, with the bound 1/R≳301/R\gtrsim30 TeV obtained.Comment: 12 pages, references added to match published versio

    Density and Pair Correlation Function of Confined Identical Particles: the Bose-Einstein Case

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    Two basic correlation functions are calculated for a model of NN harmonically interacting identical particles in a parabolic potential well. The density and the pair correlation function of the model are investigated for the boson case. The dependence of these static response properties on the complete range of the temperature and of the number of particles is obtained. The calculation technique is based on the path integral approach of symmetrized density matrices for identical particles in a parabolic confining well.Comment: 8 pages (REVTEX) + 6 figures (postscript

    Correlations in a Confined gas of Harmonically Interacting Spin-Polarized Fermions

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    For a fermion gas with equally spaced energy levels, the density and the pair correlation function are obtained. The derivation is based on the path integral approach for identical particles and the inversion of the generating functions for both static responses. The density and the pair correlation function are evaluated explicitly in the ground state of a confined fermion system with a number of particles ranging from 1 to 220 and filling the Fermi level completely.Comment: 11 REVTEX pages, 3 postscript figures. Accepted for publication in Phys. Rev. E, Vol. 58 (August 1, 1998

    N-body decomposition of bipartite networks

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    In this paper, we present a method to project co-authorship networks, that accounts in detail for the geometrical structure of scientists collaborations. By restricting the scope to 3-body interactions, we focus on the number of triangles in the system, and show the importance of multi-scientists (more than 2) collaborations in the social network. This motivates the introduction of generalized networks, where basic connections are not binary, but involve arbitrary number of components. We focus on the 3-body case, and study numerically the percolation transition.Comment: 5 pages, submitted to PR

    Assortative mixing in networks

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    A network is said to show assortative mixing if the nodes in the network that have many connections tend to be connected to other nodes with many connections. We define a measure of assortative mixing for networks and use it to show that social networks are often assortatively mixed, but that technological and biological networks tend to be disassortative. We propose a model of an assortative network, which we study both analytically and numerically. Within the framework of this model we find that assortative networks tend to percolate more easily than their disassortative counterparts and that they are also more robust to vertex removal.Comment: 5 pages, 1 table, 1 figur

    Confined Harmonically Interacting Spin-Polarized Fermions in a Magnetic Field: Thermodynamics

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    We investigate the combined influence of a magnetic field and a harmonic interparticle interaction on the thermodynamic properties of a finite number of spin polarized fermions in a confiment potential. This study is an extension using our path integral approach of symmetrized density matrices for identical particles. The thermodynamical properties are calculated for a three dimensional model of N harmonically interacting spin polarized fermions in a parabolic potential well in the presence of a magnetic field. The free energy and the internal energy are obtained for a limited number of particles. Deviations from the thermodynamical limit become negligible for about 100 or more particles, but even for a smaller number of fermions present in the well, scaling relations similar to those of the continuum approximation to the density of states are already satisfied.Comment: 7 pages REVTEX and 8 postscript figures, accepted in Phys. Rev.

    Nuclear reactor power as applied to a space-based radar mission

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    The SP-100 Project was established to develop and demonstrate feasibility of a space reactor power system (SRPS) at power levels of 10's of kilowatts to a megawatt. To help determine systems requirements for the SRPS, a mission and spacecraft were examined which utilize this power system for a space-based radar to observe moving objects. Aspects of the mission and spacecraft bearing on the power system were the primary objectives of this study; performance of the radar itself was not within the scope. The study was carried out by the Systems Design Audit Team of the SP-100 Project

    Curriculum Materials for Elementary Reading: Shackles and Scaffolds for Four Beginning Teachers

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    The purpose of this longitudinal study was to learn how beginning elementary teachers understood and used curriculum materials for teaching reading, and how, in turn, these materials shaped teachers\u27 instruction. We followed 4 teachers who worked in markedly different school situations and were provided a variety of curriculum materials, ranging from scripted reading programs to supplemental materials without teaching guides. Data were gathered through classroom observations, interviews, and curriculum artifacts over the teachers\u27 first 3 years on the job. Our analysis suggested that curriculum materials interacted with teachers\u27 knowledge of reading and reading instruction, and with the contexts in which they worked. As a result, curriculum materials both fostered and inhibited teachers\u27 on-the-job learning. We found that the 2 teachers with weak knowledge or more restrictive materials and environments learned the least and were least able to adapt instruction to meet the needs of their students. The 2 teachers with stronger knowledge, access to multiple materials, and support for decision making regarding materials and instructional strategies learned the most and were most able to adapt instruction. Furthermore, early experiences with specific curriculum materials had effects 2 years later on these teachers\u27 instructional practices. Implications for curriculum mandates, material selection, and professional development are discussed

    Fractal dimensions of the Q-state Potts model for the complete and external hulls

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    Fortuin-Kastelyn clusters in the critical QQ-state Potts model are conformally invariant fractals. We obtain simulation results for the fractal dimension of the complete and external (accessible) hulls for Q=1, 2, 3, and 4, on clusters that wrap around a cylindrical system. We find excellent agreement between these results and theoretical predictions. We also obtain the probability distributions of the hull lengths and maximal heights of the clusters in this geometry and provide a conjecture for their form.Comment: 9 pages 4 figure

    How to project a bipartite network?

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    The one-mode projecting is extensively used to compress the bipartite networks. Since the one-mode projection is always less informative than the bipartite representation, a proper weighting method is required to better retain the original information. In this article, inspired by the network-based resource-allocation dynamics, we raise a weighting method, which can be directly applied in extracting the hidden information of networks, with remarkably better performance than the widely used global ranking method as well as collaborative filtering. This work not only provides a creditable method in compressing bipartite networks, but also highlights a possible way for the better solution of a long-standing challenge in modern information science: How to do personal recommendation?Comment: 7 pages, 4 figure
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