434 research outputs found

    Measurement of the ΔS=-ΔQ Amplitude from K_(e3)^0 Decay

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    We have measured the time distribution of the π^+e^-Îœ and π^-e^+Îœ modes from initial K^0's in a spark-chamber experiment performed at the Bevatron. From 1079 events between 0.2 and 7 K_S^0 lifetime, we find ReX=-0.069±0.036, ImX=+0.108_(-0.074)^(+0.092). This result is consistent with X=0 (relative probability = 0.25), but more than 4 standard deviations from the existing world average, +0.14 -0.13i

    Human decision making anticipates future performance in motor learning.

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    It is well-established that people can factor into account the distribution of their errors in motor performance so as to optimize reward. Here we asked whether, in the context of motor learning where errors decrease across trials, people take into account their future, improved performance so as to make optimal decisions to maximize reward. One group of participants performed a virtual throwing task in which, periodically, they were given the opportunity to select from a set of smaller targets of increasing value. A second group of participants performed a reaching task under a visuomotor rotation in which, after performing a initial set of trials, they selected a reward structure (ratio of points for target hits and misses) for different exploitation horizons (i.e., numbers of trials they might be asked to perform). Because movement errors decreased exponentially across trials in both learning tasks, optimal target selection (task 1) and optimal reward structure selection (task 2) required taking into account future performance. The results from both tasks indicate that people anticipate their future motor performance so as to make decisions that will improve their expected future reward

    Interpolatory methods for H∞\mathcal{H}_\infty model reduction of multi-input/multi-output systems

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    We develop here a computationally effective approach for producing high-quality H∞\mathcal{H}_\infty-approximations to large scale linear dynamical systems having multiple inputs and multiple outputs (MIMO). We extend an approach for H∞\mathcal{H}_\infty model reduction introduced by Flagg, Beattie, and Gugercin for the single-input/single-output (SISO) setting, which combined ideas originating in interpolatory H2\mathcal{H}_2-optimal model reduction with complex Chebyshev approximation. Retaining this framework, our approach to the MIMO problem has its principal computational cost dominated by (sparse) linear solves, and so it can remain an effective strategy in many large-scale settings. We are able to avoid computationally demanding H∞\mathcal{H}_\infty norm calculations that are normally required to monitor progress within each optimization cycle through the use of "data-driven" rational approximations that are built upon previously computed function samples. Numerical examples are included that illustrate our approach. We produce high fidelity reduced models having consistently better H∞\mathcal{H}_\infty performance than models produced via balanced truncation; these models often are as good as (and occasionally better than) models produced using optimal Hankel norm approximation as well. In all cases considered, the method described here produces reduced models at far lower cost than is possible with either balanced truncation or optimal Hankel norm approximation

    Lattice-Boltzmann and finite-difference simulations for the permeability for three-dimensional porous media

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    Numerical micropermeametry is performed on three dimensional porous samples having a linear size of approximately 3 mm and a resolution of 7.5 Ό\mum. One of the samples is a microtomographic image of Fontainebleau sandstone. Two of the samples are stochastic reconstructions with the same porosity, specific surface area, and two-point correlation function as the Fontainebleau sample. The fourth sample is a physical model which mimics the processes of sedimentation, compaction and diagenesis of Fontainebleau sandstone. The permeabilities of these samples are determined by numerically solving at low Reynolds numbers the appropriate Stokes equations in the pore spaces of the samples. The physical diagenesis model appears to reproduce the permeability of the real sandstone sample quite accurately, while the permeabilities of the stochastic reconstructions deviate from the latter by at least an order of magnitude. This finding confirms earlier qualitative predictions based on local porosity theory. Two numerical algorithms were used in these simulations. One is based on the lattice-Boltzmann method, and the other on conventional finite-difference techniques. The accuracy of these two methods is discussed and compared, also with experiment.Comment: to appear in: Phys.Rev.E (2002), 32 pages, Latex, 1 Figur

    The Quantized O(1,2)/O(2)×Z2O(1,2)/O(2)\times Z_2 Sigma Model Has No Continuum Limit in Four Dimensions. II. Lattice Simulation

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    A lattice formulation of the O(1,2)/O(2)×Z2O(1,2)/O(2)\times Z_2 sigma model is developed, based on the continuum theory presented in the preceding paper. Special attention is given to choosing a lattice action (the ``geodesic'' action) that is appropriate for fields having noncompact curved configuration spaces. A consistent continuum limit of the model exists only if the renormalized scale constant ÎČR\beta_R vanishes for some value of the bare scale constant~ÎČ\beta. The geodesic action has a special form that allows direct access to the small-ÎČ\beta limit. In this limit half of the degrees of freedom can be integrated out exactly. The remaining degrees of freedom are those of a compact model having a ÎČ\beta-independent action which is noteworthy in being unbounded from below yet yielding integrable averages. Both the exact action and the ÎČ\beta-independent action are used to obtain ÎČR\beta_R from Monte Carlo computations of field-field averages (2-point functions) and current-current averages. Many consistency cross-checks are performed. It is found that there is no value of ÎČ\beta for which ÎČR\beta_R vanishes. This means that as the lattice cutoff is removed the theory becomes that of a pair of massless free fields. Because these fields have neither the geometry nor the symmetries of the original model we conclude that the O(1,2)/O(2)×Z2O(1,2)/O(2)\times Z_2 model has no continuum limit.Comment: 32 pages, 7 postscript figures, UTREL 92-0

    The effects of user characteristics on query performance in the presence of information request ambiguity

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    This paper investigates the effects of personality characteristics on individuals' abilities to compose queries from information requests containing various types of ambiguity. In particular, this research examines the effects of user personality characteristics on query performance in the presence of information requests that contained no extraneous, syntactic, or both extraneous and syntactic ambiguities. The results indicate that personality characteristics significantly affect users' abilities to compose accurate queries. Neuroticism, agreeableness, openness to experience, and conscientiousness significantly affected the number of errors made in the query formulations. Conscientiousness affected the length of time taken to compose the queries and neuroticism affected the confidence users had in the accuracy of their queries. Although several personality dimensions affected query performance, no significant interactions between personality dimensions and ambiguity were detected. Furthermore, both query complexity and information request ambiguity exhibited greater impacts on query performance than personality characteristics. Hence, organizations should attempt to train users to deal with query complexity and information request ambiguity before modifying their training programs for personality characteristics

    Three-body decays of K0 mesons

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    We have measured the time distributions of the π+e-Μ̅, π-e+Îœ, and π+π-π0 modes from initially pure K0's in a spark-chamber experiment performed at the Bevatron. From 1079 Ke3 events between 0.2 and 7 KS lifetimes, we find ReX=-0.070±0.036, ImX=0.107-0.074+0.092. This result is consistent with X=0 (relative probability = 0.25). From 148 K→π+π-π0 events in the same fiducial volume, we get ReW=-0.05±0.17 and ImW=0.39-0.37+0.35. ("W" is variously known as η+-0 and x+iy.) Our results are consistent with W=0 (relative probability = 0.30)
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