28,521 research outputs found

    Parametrization of the Driven Betatron Oscillation

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    An AC dipole is a magnet which produces a sinusoidally oscillating dipole field and excites coherent transverse beam motion in a synchrotron. By observing this coherent motion, the optical parameters can be directly measured at the beam position monitor locations. The driven oscillation induced by an AC dipole will generate a phase space ellipse which differs from that of the free oscillation. If not properly accounted for, this difference can lead to a misinterpretation of the actual optical parameters, for instance, of 6% or more in the cases of the Tevatron, RHIC, or LHC. The effect of an AC dipole on the linear optics parameters is identical to that of a thin lens quadrupole. By introducing a new amplitude function to describe this new phase space ellipse, the motion produced by an AC dipole becomes easier to interpret. Beam position data taken under the influence of an AC dipole, with this new interpretation in mind, can lead to more precise measurements of the normal Courant-Snyder parameters. This new parameterization of the driven motion is presented and is used to interpret data taken in the FNAL Tevatron using an AC dipole.Comment: 8 pages, 8 figures, and 1 tabl

    Statistical Signal Analysis for Systems with Interferenced Inputs

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    A new approach is introduced, based on statistical signal analysis, which overcomes the error due to input signal interference. The model analyzed is given. The input signals u sub 1 (t) and u sub 2 (t) are assumed to be unknown. The measurable signals x sub 1 (t) and x sub 2 (t) are interferened according to the frequency response functions, H sub 12 (f) and H sub 21 (f). The goal of the analysis was to evaluate the power output due to each input, u sub 1 (t) and u sub 2 (t), for the case where both are applied to the same time. In addition, all frequency response functions are calculated. The interferenced system is described by a set of five equations with six unknown functions. An IBM XT Personal Computer, which was interfaced with the FFT, was used to solve the set of equations. The software was tested on an electrical two-input, one-output system. The results were excellent. The research presented includes the analysis of the acoustic radiation from a rectangular plate with two force inputs and the sound pressure as an output signal

    Are eccentricity fluctuations able to explain the centrality dependence of v4v_4?

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    The fourth harmonic of the azimuthal distribution of particles v4v_4 has been measured for Au-Au collisions at the Relativistic Heavy Ion Collider (RHIC). The centrality dependence of v4v_4 does not agree with the prediction from hydrodynamics. In particular, the ratio v4/(v2)2v_4/(v_2)^2, where v2v_2 denotes the second harmonic of the azimuthal distribution of particles, is significantly larger than predicted by hydrodynamics. We argue that this discrepancy is mostly due to elliptic flow (v2v_2) fluctuations. We evaluate these fluctuations on the basis of a Monte Carlo Glauber calculation. The effect of deviations from local thermal equilibrium is also studied, but appears to be only a small correction. Combining these two effects allows us to reproduce experimental data for peripheral and midcentral collisions. However, we are unable to explain the large magnitude of v4/(v2)2v_4/(v_2)^2 observed for the most central collisions.Comment: talk presented at the Strangeness in Quark Matter Conference, Buzios, Brazil, Sept. 27 - oct. 2, 200

    Investigating LSTM for micro-expression recognition

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    This study investigates the utility of Long Short-Term Memory (LSTM) networks for modelling spatial-temporal patterns for micro-expression recognition (MER). Micro-expressions are involuntary, short facial expressions, often of low intensity. RNNs have attracted a lot of attention in recent years for modelling temporal sequences. The RNN-LSTM combination to be highly effective results in many application areas. The proposed method combines the recent VGGFace2 model, basically a ResNet-50 CNN trained on the VGGFace2 dataset, with uni-directional and bi-directional LSTM to explore different ways modelling spatial-temporal facial patterns for MER. The Grad-CAM heat map visualisation is used in the training stages to determine the most appropriate layer of the VGGFace2 model for retraining. Experiments are conducted with pure VGGFace2, VGGFace2 + uni-directional LSTM, and VGGFace2 + Bi-directional LSTM on the SMIC database using 5-fold cross-validation

    Testing linear hypotheses in high-dimensional regressions

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    For a multivariate linear model, Wilk's likelihood ratio test (LRT) constitutes one of the cornerstone tools. However, the computation of its quantiles under the null or the alternative requires complex analytic approximations and more importantly, these distributional approximations are feasible only for moderate dimension of the dependent variable, say p≤20p\le 20. On the other hand, assuming that the data dimension pp as well as the number qq of regression variables are fixed while the sample size nn grows, several asymptotic approximations are proposed in the literature for Wilk's \bLa including the widely used chi-square approximation. In this paper, we consider necessary modifications to Wilk's test in a high-dimensional context, specifically assuming a high data dimension pp and a large sample size nn. Based on recent random matrix theory, the correction we propose to Wilk's test is asymptotically Gaussian under the null and simulations demonstrate that the corrected LRT has very satisfactory size and power, surely in the large pp and large nn context, but also for moderately large data dimensions like p=30p=30 or p=50p=50. As a byproduct, we give a reason explaining why the standard chi-square approximation fails for high-dimensional data. We also introduce a new procedure for the classical multiple sample significance test in MANOVA which is valid for high-dimensional data.Comment: Accepted 02/2012 for publication in "Statistics". 20 pages, 2 pages and 2 table

    The Performance of CRTNT Fluorescence Light Detector for Sub-EeV Cosmic Ray Observation

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    Cosmic Ray Tau Neutrino Telescopes (CRTNT) using for sub-EeV cosmic ray measurement is discussed. Performances of a stereoscope configuration with a tower of those telescopes plus two side-triggers are studied. This is done by using a detailed detector simulation driven by Corsika. Detector aperture as a function of shower energy above 10^17 eV is calculated. Event rate of about 20k per year for the second knee measurement is estimated. Event rate for cross calibration with detectors working on higher energy range is also estimated. Different configurations of the detectors are tried for optimization.Comment: 5 pages, 4 figures, submitted to HEP & N

    Considerations for an Ac Dipole for the LHC

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    Following successful experience at the BNL AGS, FNAL Tevatron, and CERN SPS, an AC Dipole will be adopted at the LHC for rapid measurements of ring optics. This paper describes some of the parameters of the AC dipole for the LHC, scaling from performance of the FNAL and BNL devices.Comment: proceedings of the 2007 Particle Accelerator Conferenc
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