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Nonlinear neural networks, motion sensing and fractional charge detection with silicon p-i-n structures at 4.2 K.

机译:具有4.2 k硅p-i-n结构的非线性神经网络,运动感测和分数电荷检测。

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摘要

A model has been constructed to predict interpulse time intervals (IPTI) of current spikes of spontaneous pulsing Si p-i-n diodes at 4.2K. The model yields an iterative formula of the form ;A search has been conducted for unconfined primordial fractional charges (FCP) and FCP's created during high energy collisions. The search is based on fractional charge impurity energy level predictions of Chaudhuri et al., (P. R. L. 1374, 45 1980) in Si p-i-n diodes and (for the created FCP's) those properties described by A. De Rujula et al. (Phys. Rev. D, 285, 17 (1978)). An upper limit (95% C.L.) of 2.3 ;Circuits which can both detect transient light signals and also show lateral inhibition and integration of temporal signals, have been constructed with spontaneously pulsing Si p-i-n diodes. The experimental output of these circuits agree with a model based on simple circuit equations. The circuits have been shown to have equivalent units in the lamina and medulla of the fly eye.
机译:已构建模型来预测自发脉冲Si p-i-n二极管在4.2K时的电流尖峰的脉冲间时间间隔(IPTI)。该模型产生以下形式的迭代公式:进行了搜索以寻找在高能碰撞过程中产生的无限制原始分数电荷(FCP)和FCP。该搜索基于Chaudhuri等人(P. R. L. 1374,45 1980)在Si p-i-n二极管中的电荷电荷杂质能级预测,以及(对于所创建的FCP)A。De Rujula等人描述的那些特性。 (Phys.Rev.D,285,17(1978))。上限(95%C.L.)为2.3;该电路既可以检测瞬态光信号,又可以显示横向抑制和时间信号的积分,它是用自发脉冲的Si p-i-n二极管构成的。这些电路的实验输出与基于简单电路方程的模型一致。电路已显示在蝇眼的椎板和延髓中具有等效单位。

著录项

  • 作者单位

    University of Pittsburgh.;

  • 授予单位 University of Pittsburgh.;
  • 学科 Engineering Electronics and Electrical.;Physics Elementary Particles and High Energy.;Physics Condensed Matter.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 135 p.
  • 总页数 135
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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