33,377 research outputs found

    Navigation in Curved Space-Time

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    A covariant and invariant theory of navigation in curved space-time with respect to electromagnetic beacons is written in terms of J. L. Synge's two-point invariant world function. Explicit equations are given for navigation in space-time in the vicinity of the Earth in Schwarzschild coordinates and in rotating coordinates. The restricted problem of determining an observer's coordinate time when their spatial position is known is also considered

    Constraints on f(RijklRijkl)f(R_{ijkl}R^{ijkl}) gravity: An evidence against the covariant resolution of the Pioneer anomaly

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    We consider corrections in the form of ΔL(RijklRijkl)\Delta L(R_{ijkl}R^{ijkl}) to the Einstein-Hilbert Lagrangian. Then we compute the corrections to the Schwarszchild geometry due to the inclusion of this general term to the Lagrangian. We show that ΔL3=α1/3(RijklRijkl)1/3\Delta L_3=\alpha_{{1/3}}(R_{ijkl}R^{ijkl})^{{1/3}} gives rise to a constant anomalous acceleration for objects orbiting the Sun onward the Sun. This leads to the conclusion that α1/3=(13.91±2.11)×10−26(1meters)2/3\alpha_{{1/3}}=(13.91\pm 2.11) \times 10^{-26}(\frac{1}{\text{meters}})^{{2/3}} would have covariantly resolved the Pioneer anomaly if this value of α1/3\alpha_{{1/3}} had not contradicted other observations. We notice that the experimental bounds on ΔL3\Delta L_3 grows stronger in case we examine the deformation of the space-time geometry around objects lighter than the Sun. We therefore use the high precision measurements around the Earth (LAGEOS and LLR) and obtain a very strong constraint on the corrections in the form of ΔL(RijklRijkl)\Delta L(R_{ijkl}R^{ijkl}) and in particular ΔL=αn(RijklRijkl)n\Delta L=\alpha_n(R_{ijkl}R^{ijkl})^n. This bound requires α1/3≤6.12×10−29(1meters)2/3\alpha_{{1/3}}\leq6.12\times 10^{-29}(\frac{1}{\text{meters}})^{{2/3}}. Therefore it refutes the covariant resolution of the Pioneer anomaly.Comment: ...v5: references added, new discussions adde

    Error correction for deep space network teletype circuits

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    Error detection codes and correction devices for Deep Space Network /DSN/ teletypewriter system

    A new perspective on Einstein's philosophy of cosmology

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    The recent discovery that Einstein once attempted - and quickly abandoned - a steady-state model of the expanding universe sheds new light on his philosophical journey from static to dynamic cosmologies.Comment: Revised book chapter. To be published in 'The Philosophy of Cosmology:Foundations and Perspectives'. Eds J.Silk and J.Barrow (Cambridge University Press

    Exact heat kernel on a hypersphere and its applications in kernel SVM

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    Many contemporary statistical learning methods assume a Euclidean feature space. This paper presents a method for defining similarity based on hyperspherical geometry and shows that it often improves the performance of support vector machine compared to other competing similarity measures. Specifically, the idea of using heat diffusion on a hypersphere to measure similarity has been previously proposed, demonstrating promising results based on a heuristic heat kernel obtained from the zeroth order parametrix expansion; however, how well this heuristic kernel agrees with the exact hyperspherical heat kernel remains unknown. This paper presents a higher order parametrix expansion of the heat kernel on a unit hypersphere and discusses several problems associated with this expansion method. We then compare the heuristic kernel with an exact form of the heat kernel expressed in terms of a uniformly and absolutely convergent series in high-dimensional angular momentum eigenmodes. Being a natural measure of similarity between sample points dwelling on a hypersphere, the exact kernel often shows superior performance in kernel SVM classifications applied to text mining, tumor somatic mutation imputation, and stock market analysis

    Exploring Automated Essay Scoring for Nonnative English Speakers

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    Automated Essay Scoring (AES) has been quite popular and is being widely used. However, lack of appropriate methodology for rating nonnative English speakers' essays has meant a lopsided advancement in this field. In this paper, we report initial results of our experiments with nonnative AES that learns from manual evaluation of nonnative essays. For this purpose, we conducted an exercise in which essays written by nonnative English speakers in test environment were rated both manually and by the automated system designed for the experiment. In the process, we experimented with a few features to learn about nuances linked to nonnative evaluation. The proposed methodology of automated essay evaluation has yielded a correlation coefficient of 0.750 with the manual evaluation.Comment: Accepted for publication at EUROPHRAS 201
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