Technical Briefs

Model Development of Quantum Dot Devices for γ Radiation Detection Using Block Diagram Programming

[+] Author and Article Information
Imbaby I. Mahmoud

Engineering Department,  NRC, Atomic Energy Authority, Inshas, Cairo, Egyptimbabyisma@yahoo.com

Mohamed S. El_Tokhy

Engineering Department,  NRC, Atomic Energy Authority, Inshas, Cairo, Egyptengtokhy@gmail.com

Hussein A. Konber

Electrical Engineering Department,  Al Azhar University, Nasr City, Cairo, Egypt

J. Nanotechnol. Eng. Med 2(3), 034503 (Jan 13, 2012) (5 pages) doi:10.1115/1.4004313 History: Received April 21, 2011; Revised May 13, 2011; Published January 13, 2012; Online January 13, 2012

The main objective of this paper is to develop a model of quantum dot (QD) devices for incident γ radiation detection. A novel methodology is introduced to characterize the effect of γ radiation on QD detectors. In this methodology, we used VisSim environment along with the block diagram programming procedures. The benefit of using this modeling language is the simplicity of carrying out the performance’s measurement through computer simulation instead of setting up a practical procedure, which is expensive as well as difficult in management. The roles that the parameters of fabrication can play in the characteristics of QDs devices are discussed through developed models implemented by VisSim environment. The rate equations of the QD devices under γ radiation are studied. The effect of incident γ radiation on the optical gain, power, and output photon densities is investigated. The implemented models can help designers and scientists to optimize their devices to meet their requirements.

Copyright © 2011 by American Society of Mechanical Engineers
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Figure 1

Energy diagram of the active region and diffusion, recombination, and relaxation process

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Figure 2

Block diagram model describing the rate equations of QDs devices for γ radiation detection

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Figure 3

Gain against ℏγCV at different transition matrix element

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Figure 6

Power against incident γ ray energy at different cavity lengths

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Figure 7

Power against incident γ ray energy at different mirror

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Figure 8

Power against photon density

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Figure 9

Population inversion against incident γ energy

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Figure 10

Photon density against incident γ ray energy at different refractive index

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Figure 11

Photon density against incident γ ray energy at different τ p

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Figure 12

Photon density against τ r

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Figure 13

τ r against incident Nw

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Figure 5

Power against pumping rate of incident γ radiation

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Figure 4

Gain against ℏγCV at different refractive index




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