14,683 research outputs found

    Joint observations of 4U1223-62 by the SAS-3 satellite and Columbia University proportional counter experiment on NASA rocket 26.054 UH

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    The pulsating X-ray binary 4U1223-62 and Vela X-1 were observed by Aerobee rocket-borne proportional counters. Valid X-ray events were telemetered and analyzed for possible flaring, quasiperiodic, and periodic pulsations, and for other nonstatistical behavior in the source. Both fast Fourier transform and autocorrelation programs were used. For several hours four days before and after the rocket flight, the SAS-3 satellite scanned the galactic plane in order to identify X-ray sources in the vicinity of 4U1223-62 and their intensities, and to provide positional accuracy of 0.25 for sources with intensity greater than 10% of the target. Observations of the source near the main peak of its pulsating period as defined by SAS-3 are discussed. There is no evidence of a spectral feature although twice as many photons were received as than from Vela X-1

    High speed binary to decimal conversion system Patent

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    Design and operation of high speed binary to decimal conversion syste

    Green's Functions from Quantum Cluster Algorithms

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    We show that cluster algorithms for quantum models have a meaning independent of the basis chosen to construct them. Using this idea, we propose a new method for measuring with little effort a whole class of Green's functions, once a cluster algorithm for the partition function has been constructed. To explain the idea, we consider the quantum XY model and compute its two point Green's function in various ways, showing that all of them are equivalent. We also provide numerical evidence confirming the analytic arguments. Similar techniques are applicable to other models. In particular, in the recently constructed quantum link models, the new technique allows us to construct improved estimators for Wilson loops and may lead to a very precise determination of the glueball spectrum.Comment: 15 pages, LaTeX, with four figures. Added preprint numbe

    Critical exponents of a three dimensional O(4) spin model

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    By Monte Carlo simulation we study the critical exponents governing the transition of the three-dimensional classical O(4) Heisenberg model, which is considered to be in the same universality class as the finite-temperature QCD with massless two flavors. We use the single cluster algorithm and the histogram reweighting technique to obtain observables at the critical temperature. After estimating an accurate value of the inverse critical temperature \Kc=0.9360(1), we make non-perturbative estimates for various critical exponents by finite-size scaling analysis. They are in excellent agreement with those obtained with the 4ϵ4-\epsilon expansion method with errors reduced to about halves of them.Comment: 25 pages with 8 PS figures, LaTeX, UTHEP-28

    A Swendsen-Wang update algorithm for the Symanzik improved sigma model

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    We study a generalization of Swendsen-Wang algorithm suited for Potts models with next-next-neighborhood interactions. Using the embedding technique proposed by Wolff we test it on the Symanzik improved bidimensional non-linear σ\sigma model. For some long range observables we find a little slowing down exponent (z0.3z \simeq 0.3) that we interpret as an effect of the partial frustration of the induced spin model.Comment: Self extracting archive fil

    The Tails of the Crossing Probability

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    The scaling of the tails of the probability of a system to percolate only in the horizontal direction πhs\pi_{hs} was investigated numerically for correlated site-bond percolation model for q=1,2,3,4q=1,2,3,4.We have to demonstrate that the tails of the crossing probability far from the critical point have shape πhs(p)Dexp(cL[ppc]ν)\pi_{hs}(p) \simeq D \exp(c L[p-p_{c}]^{\nu}) where ν\nu is the correlation length index, p=1exp(β)p=1-\exp(-\beta) is the probability of a bond to be closed. At criticality we observe crossover to another scaling πhs(p)Aexp(bL[ppc]νz)\pi_{hs}(p) \simeq A \exp (-b {L [p-p_{c}]^{\nu}}^{z}). Here zz is a scaling index describing the central part of the crossing probability.Comment: 20 pages, 7 figures, v3:one fitting procedure is changed, grammatical change

    A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization

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    Performance-score synchronization is an integral task in signal processing, which entails generating an accurate mapping between an audio recording of a performance and the corresponding musical score. Traditional synchronization methods compute alignment using knowledge-driven and stochastic approaches, and are typically unable to generalize well to different domains and modalities. We present a novel data-driven method for structure-aware performance-score synchronization. We propose a convolutional-attentional architecture trained with a custom loss based on time-series divergence. We conduct experiments for the audio-to-MIDI and audio-to-image alignment tasks pertained to different score modalities. We validate the effectiveness of our method via ablation studies and comparisons with state-of-the-art alignment approaches. We demonstrate that our approach outperforms previous synchronization methods for a variety of test settings across score modalities and acoustic conditions. Our method is also robust to structural differences between the performance and score sequences, which is a common limitation of standard alignment approaches.Comment: Published in IEEE Signal Processing Letters, Volume 29, December 202
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