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A simulation analysis of backside-illuminated multi-collection-gate image sensor employing Monte Carlo method

机译:蒙特卡罗法采用背面照射多收集栅极图像传感器的仿真分析

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Ultra-high speed image sensors have been developed and applied to various field of science and engineering. Toward the temporal resolution of 1ns, we have proposed a new structure of an image sensor, a backside-illuminated multi-collection-gate image sensor (BSI MCG image sensor). In order to evaluate the performance, it is necessary to simulate the paths of photoelectrons from the generation site to a collecting gate. The performance depends on several factors, including randomness in motion of the electrons which is considerable in the design of the sensor operating at the sub-nanosecond time scale. It is impossible to address this factor by using a device simulation based on the drift diffusion model. A Monte Carlo method is an effective tool to evaluate the effect of the randomness. In this paper, factors affecting the temporal resolution of the sensor are studied by using the Monte Carlo simulator.
机译:已经开发了超高速图像传感器并应用于各种科学与工程领域。朝向1ns的时间分辨率,我们提出了一种图像传感器的新结构,是后壁的多收集栅极图像传感器(BSI MCG图像传感器)。为了评估性能,有必要模拟从生成站点到收集门的光电子的路径。性能取决于若干因素,包括电子运动中的随机性,其在亚纳秒时间尺度上操作的传感器的设计中具有相当大的。通过基于漂移扩散模型的设备模拟来解决该因素是不可能解决这个因素的。蒙特卡罗方法是评估随机性效果的有效工具。在本文中,通过使用蒙特卡罗模拟器研究了影响传感器的时间分辨率的因素。

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