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PbS红外探测器低频噪声物理模型及缺陷表征研究
引用本文:陈文豪,杜磊,殷雪松,康莉,王芳,陈松. PbS红外探测器低频噪声物理模型及缺陷表征研究[J]. 物理学报, 2011, 60(10): 107202-107202. DOI: 10.7498/aps.60.107202
作者姓名:陈文豪  杜磊  殷雪松  康莉  王芳  陈松
作者单位:1. 西安电子科技大学技术物理学院,西安 710071;2. 陕西华星电子集团有限公司红外器件分公司,咸阳 712099
基金项目:国家重点基础研究发展计划(批准号:2010CB631002)资助的课题.
摘    要:为了表征PbS薄膜光导红外探测器的材料缺陷,详细推导了1/f和产生-复合(g-r)噪声物理模型,并由实验数据验证了模型的准确性. 利用1/f噪声与表面缺陷关系,计算了不同偏压下表面陷阱密度. 得到该值随偏压升高而增加,由此得出1/f噪声与所加偏压成正比变化,与实验测试结果相一致. 在此模型基础上,研究了g-r噪声与深能级缺陷特征参量的关系,提出由低频噪声表征缺陷激活能、简并因子、俘获截面等缺陷参数的方法.关键词:红外探测器1/f噪声')" href="#">1/f噪声噪声')" href="#">g-r噪声缺陷

关 键 词:红外探测器  1/f噪声  g-r噪声  缺陷
收稿时间:2010-11-30

Investigation on the low-freauency noise physical models and the defects' characterization of the PbS infrared dectector
Chen Wen-Hao,Du Lei,Yin Xue-Song,Kang Li,Wang Fang and Chen Song. Investigation on the low-freauency noise physical models and the defects' characterization of the PbS infrared dectector[J]. Acta Physica Sinica, 2011, 60(10): 107202-107202. DOI: 10.7498/aps.60.107202
Authors:Chen Wen-Hao  Du Lei  Yin Xue-Song  Kang Li  Wang Fang  Chen Song
Affiliation:School of Technology Physics, Xidian University,Xi'an 710071, China;School of Technology Physics, Xidian University,Xi'an 710071, China;School of Technology Physics, Xidian University,Xi'an 710071, China;Shaanxi Huaxing Electronics Group co.,LTD, Xianyang 712099, China;School of Technology Physics, Xidian University,Xi'an 710071, China;Shaanxi Huaxing Electronics Group co.,LTD, Xianyang 712099, China
Abstract:In order to characterize the defects of PbS thin film photoconductive infrared detector materials, The physical model of 1/f noise and g-r noise are deduced and verified. The surface trap densities under different voltages are calculated by the relation between 1/f noise and surface trap in this model. The phenomenon that the surface trap density increases with bias voltage is observed. Therefore, the conclusion that 1/f noise is proportional to bias voltage is drawn, and it is consistent with the experimental measurements. In addition, the relation between g-r noise and deep-level defect characterization parameters is investigated based on this model, and the method of using low frequency noise to characterize defect parameters including defect activate energy, degeneracy factor and capture section is presented.
Keywords:infrared detector  1/f noise  g-r noise  defect
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