18,114 research outputs found

    Subcritical Superstrings

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    We introduce the Liouville mode into the Green-Schwarz superstring. Like massive supersymmetry without central charges, there is no kappa symmetry. However, the second-class constraints (and corresponding Wess-Zumino term) remain, and can be solved by (twisted) chiral superspace in dimensions D=4 and 6. The matter conformal anomaly is c = 4-D < 1. It thus can be canceled for physical dimensions by the usual Liouville methods, unlike the bosonic string (for which the consistency condition is c = D <= 1).Comment: 9 pg., compressed postscript file (.ps.Z), other formats (.dvi, .ps, .ps.Z, 8-bit .tex) available at http://insti.physics.sunysb.edu/~siegel/preprints/ or at ftp://max.physics.sunysb.edu/preprints/siege

    Best usage of free-space capacitors in ASIC regulators

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    In this work we examine how to improve the performance of voltage regulators in application specific integrated circuits (ASICs) by placing capacitors into free layout space. The problem arising after layout, when there are areas not covered by functional elements, is where to connect the free-space capacitors (FSCs), as they can be connected to the input or the output net of a voltage regulator. Therefore we designed a testbench for mathematical calculations and one for simulations to identify the influence of a capacitance connected at these certain positions. We mainly focused on PSR analysis while not losing sight of transient effects. The results of calculation and simulation illustrate that the best solution is to split the capacitance half by half to both possible nets if no output capacitance was installed during design. Otherwise a ratio of one to one for input capacitance to output capacitance has to be set up for best performance

    Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification

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    This paper explores the problem of breast tissue classification of microscopy images. Based on the predominant cancer type the goal is to classify images into four categories of normal, benign, in situ carcinoma, and invasive carcinoma. Given a suitable training dataset, we utilize deep learning techniques to address the classification problem. Due to the large size of each image in the training dataset, we propose a patch-based technique which consists of two consecutive convolutional neural networks. The first "patch-wise" network acts as an auto-encoder that extracts the most salient features of image patches while the second "image-wise" network performs classification of the whole image. The first network is pre-trained and aimed at extracting local information while the second network obtains global information of an input image. We trained the networks using the ICIAR 2018 grand challenge on BreAst Cancer Histology (BACH) dataset. The proposed method yields 95 % accuracy on the validation set compared to previously reported 77 % accuracy rates in the literature. Our code is publicly available at https://github.com/ImagingLab/ICIAR2018Comment: 10 pages, 5 figures, ICIAR 2018 conferenc

    A new measurement of the lifetime of the positive pion

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    Digital timing method for measuring positive pion lifetim

    Energy and width measurements of low-Z pionic X-ray transitions

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    High resolution spectrometric measurement of energy and natural line widths of 2p-1s pionic X ray transitions, as well as muonic transition energies in Li, Be, B, and C isotope

    New massive supergravity multiplets

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    We present new off-shell formulations for the massive superspin-3/2 multiplet. In the massless limit, they reduce respectively to the old minimal (n=-1/3) and non-minimal (n1/3,0n\neq -1/3, 0) linearized formulations for 4D N=1 supergravity. Duality transformations, which relate the models constructed, are derived.Comment: 18 pages, LaTeX; v2: minor changes, references adde

    Non-ideal artificial phase discontinuity in long Josephson 0-kappa-junctions

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    We investigate the creation of an arbitrary κ\kappa-discontinuity of the Josephson phase in a long Nb-AlO_x-Nb Josephson junction (LJJ) using a pair of tiny current injectors, and study the formation of fractional vortices formed at this discontinuity. The current I_inj, flowing from one injector to the other, creates a phase discontinuity kappa ~ I_inj. The calibration of injectors is discussed in detail. The small but finite size of injectors leads to some deviations of the properties of such a 0-kappa-LJJ from the properties of a LJJ with an ideal kappa-discontinuity. These experimentally observed deviations in the dependence of the critical current on I_inj$ and magnetic field can be well reproduced by numerical simulation assuming a finite injector size. The physical origin of these deviations is discussed.Comment: Submitted to Phys. Rev. B (12 figures). v 2: refs updated, long eqs fixed v 3: major changes, fractional vortex dynamics exclude
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