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Effect of Temperature on Dark Current in QWIP for Unmanned Aerial Vehicles

机译:温度对无人空中车辆QWIP暗电流的影响

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This paper deals with results of optimizing the structure and temperature effects leading to dark or noise current mitigation in quantum well IR photodetector (QWIP) using mathematical modeling. The quantum wells are formed by heteroepitaxial process where a narrow E_(GAP) material between wide bandgap materials. Results show that the fine tuning of aluminum (Al) mole fraction and well-width helps in achieving high responsivity for the both near and far IR wavelength. Low noise operation, as well as comparative study, is done between the experimental and theoretical value for temperature analysis. The modeled QWIP detector consists of GaAs quantum wells and Al_xGa_((1-x))As barriers. The temperature-based operation and analyses show the cause of band splitting, and reduction of noise is observed in MQW IR sensor structure. This type of QW finds application in broadband sensors used in unmanned aerial vehicles (UAV).
机译:本文涉及使用数学建模的量子阱IR光电探测器(QWIP)中的结构和温度效应优化结构和温度效应。量子阱由异质轴工艺形成,其中宽带隙材料之间的窄E_(间隙)材料。结果表明,铝(Al)摩尔分数和井宽的微调有助于实现接近和远红外波长的高响应度。在温度分析的实验和理论值之间进行低噪声操作以及对比研究。模型QWIP检测器由GaAs量子阱和Al_xga _((1-x))组成,作为屏障。基于温度的操作和分析显示了带分裂的原因,并且在MQW IR传感器结构中观察到噪声的降低。这种类型的QW在宽带传感器中发现了无人驾驶飞行器(UAV)的宽带传感器。

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