Quantum Well Infrared Photodetectors (QWIPs) Optimization Based on Dark Current Models Evaluation

被引：1

作者：

Favero, Priscila P. ^{[1
]}

Tanaka, Roberto Y. ^{[1
]}

Vieira, Gustavo S. ^{[1
]}

Muraro, Ademar, Jr. ^{[1
]}

Abe, Nancy M. ^{[1
]}

Passaro, Angelo ^{[1
]}

机构：

[1] Inst Adv Studies, Dept IEAv DCTA, Sao Jose Dos Campos, Brazil

来源：

15TH INTERNATIONAL CONFERENCE ON NARROW GAP SYSTEMS (NGS15) | 2011年 / 1416卷

关键词：

QWIP; computational optimization; sequential tunneling; dark current;

D O I：

10.1063/1.3671723

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work we evaluate different dark current models applied in QWIPs. In order to avoid empirical parameters we calculate the sequential tunneling probability of the lowest energy state to reproduce the dark current properties. Using the same arguments, the photocurrent is replaced by the tunneling probability modulated by the optical matrix element. Considering the different tunneling models presented in literature we apply a genetic algorithm to evaluate the models role on the election of the optimized infrared sensor.

引用

页码：161 / 164

页数：4

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