866 research outputs found

    Photoemission view of electron fractionalization in quasi-one dimensional metal Li0.9_{0.9}Mo6_6O17_{17}

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    We report Luttinger liquid line shapes better revealed by new angle resolved photoemission data taken with a much improved angle resolution on a quasi-1-dimensional metal Li0.9_{0.9}Mo6_6O17_{17}. The new data indicate a larger spinon velocity than our previous lower resolution data indicated.Comment: submitted to SCES '0

    Nearest Labelset Using Double Distances for Multi-label Classification

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    Multi-label classification is a type of supervised learning where an instance may belong to multiple labels simultaneously. Predicting each label independently has been criticized for not exploiting any correlation between labels. In this paper we propose a novel approach, Nearest Labelset using Double Distances (NLDD), that predicts the labelset observed in the training data that minimizes a weighted sum of the distances in both the feature space and the label space to the new instance. The weights specify the relative tradeoff between the two distances. The weights are estimated from a binomial regression of the number of misclassified labels as a function of the two distances. Model parameters are estimated by maximum likelihood. NLDD only considers labelsets observed in the training data, thus implicitly taking into account label dependencies. Experiments on benchmark multi-label data sets show that the proposed method on average outperforms other well-known approaches in terms of Hamming loss, 0/1 loss, and multi-label accuracy and ranks second after ECC on the F-measure

    Luttinger liquid ARPES spectra from samples of Li0.9_{0.9}Mo6_6O17_{17} grown by the temperature gradient flux technique

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    Angle resolved photoemission spectroscopy line shapes measured for quasi-one-dimensional Li0.9_{0.9}Mo6_6O17_{17} samples grown by a temperature gradient flux technique are found to show Luttinger liquid behavior, consistent with all previous data by us and other workers obtained from samples grown by the electrolyte reduction technique. This result eliminates the sample growth method as a possible origin of considerable differences in photoemission data reported in previous studies of Li0.9_{0.9}Mo6_6O17_{17}.Comment: Some text adde

    Seasonal Decomposition for Geographical Time Series using Nonparametric Regression

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    A time series often contains various systematic effects such as trends and seasonality. These different components can be determined and separated by decomposition methods. In this thesis, we discuss time series decomposition process using nonparametric regression. A method based on both loess and harmonic regression is suggested and an optimal model selection method is discussed. We then compare the process with seasonal-trend decomposition by loess STL (Cleveland, 1979). While STL works well when that proper parameters are used, the method we introduce is also competitive: it makes parameter choice more automatic and less complex. The decomposition process often requires that time series be evenly spaced; any missing value is therefore necessarily estimated. For time series with seasonality, it is preferable to use the seasonal information to estimate missing observations. The seasonal adjustment algorithm (McLeod et al., 1983) can be used for monthly time series. In this thesis, we examine the algorithm and revise it to cover daily data cases

    Hidden one-dimensional electronic structure and non-Fermi liquid angle resolved photoemission line shapes of η\eta-Mo4_4O11_{11}

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    We report angle resolved photoemission (ARPES) spectra of η\eta-Mo4_4O11_{11}, a layered metal that undergoes two charge density wave (CDW) transitions at 109 K and 30 K. We have directly observed the ``hidden one-dimensional (hidden-1d)'' Fermi surface and an anisotropic gap opening associated with the 109 K transition, in agreement with the band theoretical description of the CDW transition. In addition, as in other hidden-1d materials such as NaMo6_6O17_{17}, the ARPES line shapes show certain anomalies, which we discuss in terms of non-Fermi liquid physics and possible roles of disorder.Comment: 3 figures; Erratum added to include missed reference

    Generalized Spectral Signatures of Electron Fractionalization in Quasi-One and -Two Dimensional Molybdenum Bronzes and Superconducting Cuprates

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    We establish the quasi-one-dimensional Li purple bronze as a photoemission paradigm of Luttinger liquid behavior. We also show that generalized signatures of electron fractionalization are present in the angle resolved photoemission spectra for quasi-two-dimensional purple bronzes and certain cuprates. An important component of our analysis for the quasi-two-dimensional systems is the proposal of a ``melted holon'' scenario for the k-independent background that accompanies but does not interact with the peaks that disperse to define the Fermi surface.Comment: 7 pages, 8 figure

    Extremely Correlated Fermi Liquid Description of Normal State ARPES in Cuprates

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    The normal state single particle spectral function of the high temperature superconducting cuprates, measured by the angle resolved photoelectron spectroscopy (ARPES), has been considered both anomalous and crucial to understand. Here we show that an unprecedentedly detailed description of the data is provided by a spectral function arising from the Extremely Correlated Fermi Liquid state of the t-J model proposed recently by Shastry. The description encompasses both laser and conventional synchrotron ARPES data on optimally doped Bi2_2Sr2_2CaCu2_2O8+δ_{8+\delta}, and also conventional synchrotron ARPES data on the La1.85_{1.85}Sr0.15_{0.15}CuO4_4 materials. {\em It fits all data sets with the same physical parameter values}, satisfies the particle sum rule and successfully addresses two widely discussed "kink" anomalies in the dispersion.Comment: Published version, 5 figs; published 29 July (2011
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