NDLI: Charge transport in a-Si:H detectors: comparison of analytical and Monte Carlo simulations

Content Provider	IEEE Xplore Digital Library
Author	Hamel, L.-A. Wen Chao Chen
Copyright Year	1994
Description	Author affiliation: Dept. de Phys., Montreal Univ., Que., Canada (Hamel, L.-A.; Wen Chao Chen)
Abstract	To understand the signal formation in hydrogenated amorphous silicon (a-Si:H) p-i-n detectors, dispersive charge transport due to multiple trapping in a-Si:H tail states is studied both analytically and by Monte Carlo simulations. An analytical solution is found for the free electron and hole distributions n(x,t) and the transient current I(t) due to an initial electron-hole pair generated at an arbitrary depth in the detector for the case of exponential band tails and linear field profiles; integrating over all e-h pairs produced along the particle's trajectory yields the actual distributions and current; the induced charge Q(t) is obtained by numerically integrating the current. This generalizes previous models used to analyze time-of-flight experiments. The Monte Carlo simulation provides the same information but can be applied to arbitrary field profiles, field dependent mobilities and localized state distributions. A comparison of both calculations is made in a simple case to show that identical results are obtained over a large time domain. A comparison with measured signals confirms that the total induced charge depends on the applied bias voltage. The applicability of the same approach to other semiconductors is discussed.
Starting Page	887
Ending Page	891
File Size	496547
Page Count	5
File Format	PDF
ISBN	0780325443
DOI	10.1109/NSSMIC.1994.474475
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-30
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Amorphous silicon PIN photodiodes Dispersion Electron traps Tail Signal analysis Charge carrier processes Transient analysis Probability distribution
Content Type	Text
Resource Type	Article

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