1,063 research outputs found

    Alien Registration- Meisner, John B. (Dover-Foxcroft, Piscataquis County)

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    https://digitalmaine.com/alien_docs/10354/thumbnail.jp

    Signatures of integrability in charge and thermal transport in 1D quantum systems

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    Integrable and non-integrable systems have very different transport properties. In this work, we highlight these differences for specific one dimensional models of interacting lattice fermions using numerical exact diagonalization. We calculate the finite temperature adiabatic stiffness (or Drude weight) and isothermal stiffness (or ``Meissner'' stiffness) in electrical and thermal transport and also compute the complete momentum and frequency dependent dynamical conductivities σ(q,ω)\sigma(q,\omega) and κ(q,ω)\kappa(q,\omega). The Meissner stiffness goes to zero rapidly with system size for both integrable and non-integrable systems. The Drude weight shows signs of diffusion in the non-integrable system and ballistic behavior in the integrable system. The dynamical conductivities are also consistent with ballistic and diffusive behavior in the integrable and non-integrable systems respectively.Comment: 4 pages, 4 figure

    Magnon Heat Transport in doped La2CuO4\rm La_2CuO_4

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    We present results of the thermal conductivity of La2CuO4\rm La_2CuO_4 and La1.8Eu0.2CuO4\rm La_{1.8}Eu_{0.2}CuO_4 single-crystals which represent model systems for the two-dimensional spin-1/2 Heisenberg antiferromagnet on a square lattice. We find large anisotropies of the thermal conductivity, which are explained in terms of two-dimensional heat conduction by magnons within the CuO2_2 planes. Non-magnetic Zn substituted for Cu gradually suppresses this magnon thermal conductivity κmag\kappa_{\mathrm{mag}}. A semiclassical analysis of κmag\kappa_{\mathrm{mag}} is shown to yield a magnon mean free path which scales linearly with the reciprocal concentration of Zn-ions.Comment: 4 pages, 3 figure

    Magnetic heat conductivity in CaCu2O3\rm\bf CaCu_2O_3: linear temperature dependence

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    We present experimental results for the thermal conductivity κ\kappa of the pseudo 2-leg ladder material CaCu2O3\rm CaCu_2O_3. The strong buckling of the ladder rungs renders this material a good approximation to a S=1/2S=1/2 Heisenberg-chain. Despite a strong suppression of the thermal conductivity of this material in all crystal directions due to inherent disorder, we find a dominant magnetic contribution κmag\kappa_\mathrm{mag} along the chain direction. κmag\kappa_\mathrm{mag} is \textit{linear} in temperature, resembling the low-temperature limit of the thermal Drude weight DthD_\mathrm{th} of the S=1/2S=1/2 Heisenberg chain. The comparison of κmag\kappa_\mathrm{mag} and DthD_\mathrm{th} yields a magnetic mean free path of lmag≈22±5l_\mathrm{mag}\approx 22 \pm 5 \AA, in good agreement with magnetic measurements.Comment: appears in PR

    Techniques to Update a Land Management Information System with Landsat

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    The Minnesota State Planning Agency has developed a geographically referenced Land Management Information System which is being used extensively for planning purposes. Land use categories in the system were originally coded from aerial photographs; this method is inefficient for updating the large-area data base. Landsat data and many computer-assisted techniques are available to analyze the classification system and to update the land use data base. The data derived from a Landsat analysis could be used to supplement the existing data base and to complement detailed interpretations of aerial photographs. This study had as its primary objective an evaluation of computer manipulation, classification, and accuracy assessment techniques for use in updating land use data in the Land Management Information System. Four approaches to statistical computer manipulation (polygons selected from cathode ray tube displays, unsupervised clustering, polygons selected from aerial photographs and data extracted from the existing land use data base) were attempted. The resulting statistics were applied to the image data by three pattern-recognition algorithms: minimum distance to the mean, maximum likelihood, and canonical analysis with minimum distance to the mean. Twelve output images were compared to photo interpreted samples, ground-verified samples, and the current land use data base for accuracy assessment. The results of this study indicate that for a reconnaissance inventory, statistical computer manipulation via polygons selected from aerial photographs applied with the canonical analysis and minimum distance algorithm is the most accurate and efficient approach. Crosstabulation with the accuracy samples indicated classification accuracies between 20 to 40 percent. These accuracy levels could probably be increased with the availability of appropriate seasonal coverage and the collection of more timely multidate supporting data

    Non-dissipative Thermal Transport and Magnetothermal Effect for the Spin-1/2 Heisenberg Chain

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    Anomalous magnetothermal effects are discussed in the spin-1/2 Heisenberg chain. The energy current is related to one of the non-trivial conserved quantities underlying integrability and therefore both the diagonal and off diagonal dynamical correlations of spin and energy current diverge. The energy-energy and spin-energy current correlations at finite temperatures are exactly calculated by a lattice path integral formulation. The low-temperature behavior of the thermomagnetic (magnetic Seebeck) coefficient is also discussed. Due to effects of strong correlations, we observe the magnetic Seebeck coefficient changes sign at certain interaction strengths and magnetic fields.Comment: 4 pages, references added, typos corrected, Conference proceedings of SPQS 2004, Sendai, Japa

    Transport through quantum dots: A combined DMRG and cluster-embedding study

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    The numerical analysis of strongly interacting nanostructures requires powerful techniques. Recently developed methods, such as the time-dependent density matrix renormalization group (tDMRG) approach or the embedded-cluster approximation (ECA), rely on the numerical solution of clusters of finite size. For the interpretation of numerical results, it is therefore crucial to understand finite-size effects in detail. In this work, we present a careful finite-size analysis for the examples of one quantum dot, as well as three serially connected quantum dots. Depending on odd-even effects, physically quite different results may emerge from clusters that do not differ much in their size. We provide a solution to a recent controversy over results obtained with ECA for three quantum dots. In particular, using the optimum clusters discussed in this paper, the parameter range in which ECA can reliably be applied is increased, as we show for the case of three quantum dots. As a practical procedure, we propose that a comparison of results for static quantities against those of quasi-exact methods, such as the ground-state density matrix renormalization group (DMRG) method or exact diagonalization, serves to identify the optimum cluster type. In the examples studied here, we find that to observe signatures of the Kondo effect in finite systems, the best clusters involving dots and leads must have a total z-component of the spin equal to zero.Comment: 16 pages, 14 figures, revised version to appear in Eur. Phys. J. B, additional reference
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