1,137 research outputs found

    Weeping Willow Rag

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    Drawn portrait of a womanhttps://scholarsjunction.msstate.edu/cht-sheet-music/13669/thumbnail.jp

    Pepper-Sauce

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    Man, with an injured foot, sitting at a table, holding a bottle of sauce over a bowl of foodhttps://scholarsjunction.msstate.edu/cht-sheet-music/13832/thumbnail.jp

    Black Wasp Rag (A Stinger) / words by H. A. Fischler

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    Cover: drawing of an African American male dragging an African American boy away from thousands of wasps the child has disturbed with a toy sword; Publisher: Vandersloot Music (Williamsport)https://egrove.olemiss.edu/sharris_c/1024/thumbnail.jp

    When the Summer Days Are Over Will You Love Me Just the Same

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    Text only; Green backgroundhttps://scholarsjunction.msstate.edu/cht-sheet-music/1181/thumbnail.jp

    Infinity Cancellation, Type I' Compactification and String S-Matrix Functional

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    Nonvanishing tadpoles and possible infinities associated in the multiparticle amplitudes are discussed with regard to the disk and RP2RP^{2} diagrams of the Type I' compactification. We find that the infinity cancellation of SO(32)SO(32) type II theory extends to this case as well despite the presence of tadpoles localized in the D-brane world-volume and the orientifold surfaces. Formalism of string S-matrix generating functional is presented to find a consistent string background as c-number source function: we find this only treats the cancellation of the tadpoles in the linearized approximation. Our formalism automatically provides representation of the string amplitudes on this background to all orders in α′\alpha'.Comment: 18 pages, Latex, more references adde

    Hologrphy and holographic dark energy model

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    The holographic principle is used to discuss the holographic dark energy model. We find that the Bekenstein-Hawking entropy bound is far from saturation under certain conditions. A more general constraint on the parameter of the holographic dark energy model is also derived.Comment: no figures, use revtex, v2: use iop style, some typos corrected and references updated, will appear in CQ

    Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization

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    Image-based camera relocalization is an important problem in computer vision and robotics. Recent works utilize convolutional neural networks (CNNs) to regress for pixels in a query image their corresponding 3D world coordinates in the scene. The final pose is then solved via a RANSAC-based optimization scheme using the predicted coordinates. Usually, the CNN is trained with ground truth scene coordinates, but it has also been shown that the network can discover 3D scene geometry automatically by minimizing single-view reprojection loss. However, due to the deficiencies of the reprojection loss, the network needs to be carefully initialized. In this paper, we present a new angle-based reprojection loss, which resolves the issues of the original reprojection loss. With this new loss function, the network can be trained without careful initialization, and the system achieves more accurate results. The new loss also enables us to utilize available multi-view constraints, which further improve performance.Comment: ECCV 2018 Workshop (Geometry Meets Deep Learning

    Mars Rover Sample Return: A sample collection and analysis strategy for exobiology

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    For reasons defined elsewhere it is reasonable to search for biological signatures, both chemical and morphological, of extinct life on Mars. Life on Earth requries the presence of liquid water, therefore, it is important to explore sites on Mars where standing bodies of water may have once existed. Outcrops of layered deposits within the Valles Marineris appear to be ancient lake beds. Because the outcrops are well exposed, relatively shallow core samples would be very informative. The most important biological signature to detect would be organics, microfossils, or larger stromato-like structures, although the presence of cherts, carbonates, clays, and shales would be significant. In spite of the limitations of current robotics and pattern recognition, and the limitations of rover power, computation, Earth communication bandwidth, and time delays, a partial scenario was developed to implement such a scientific investigation. The rover instrumentation and the procedures and decisions and IR spectrometer are described in detail. Preliminary results from a collaborative effort are described, which indicate the rover will be able to autonomously detect stratification, and hence will ease the interpretation burden and lead to greater scientific productivity during the rover's lifetime

    On the Anomalies and Schwinger Terms in Noncommutative Gauge Theories

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    Invariant (nonplanar) anomaly of noncommutative QED is reexamined. It is found that just as in ordinary gauge theory UV regularization is needed to discover anomalies, in noncommutative case, in addition, an IR regularization is also required to exhibit existence of invariant anomaly. Thus resolving the controversy in the value of invariant anomaly, an expression for the unintergrated anomaly is found. Schwinger terms of the current algebra of the theory are derived.Comment: LaTeX, axodraw.sty, 1 figure; v2: Typos corrected, References added, Version to appear in Int. J. Mod. Phys. A (2006

    1S and MSbar Bottom Quark Masses from Upsilon Sum Rules

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    The bottom quark 1S mass, Mb1SM_b^{1S}, is determined using sum rules which relate the masses and the electronic decay widths of the Υ\Upsilon mesons to moments of the vacuum polarization function. The 1S mass is defined as half the perturbative mass of a fictitious 3S1{}^3S_1 bottom-antibottom quark bound state, and is free of the ambiguity of order ΛQCD\Lambda_{QCD} which plagues the pole mass definition. Compared to an earlier analysis by the same author, which had been carried out in the pole mass scheme, the 1S mass scheme leads to a much better behaved perturbative series of the moments, smaller uncertainties in the mass extraction and to a reduced correlation of the mass and the strong coupling. We arrive at Mb1S=4.71±0.03M_b^{1S}=4.71\pm 0.03 GeV taking αs(MZ)=0.118±0.004\alpha_s(M_Z)=0.118\pm 0.004 as an input. From that we determine the MSˉ\bar{MS} mass as mˉb(mˉb)=4.20±0.06\bar m_b(\bar m_b) = 4.20 \pm 0.06 GeV. The error in mˉb(mˉb)\bar m_b(\bar m_b) can be reduced if the three-loop corrections to the relation of pole and MSˉ\bar{MS} mass are known and if the error in the strong coupling is decreased.Comment: 20 pages, latex; numbers in Tabs. 2,3,4 corrected, a reference and a comment on the fitting procedure added, typos in Eqs. 2 and 23 eliminate
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