Calculating relaxation time distribution function from power spectrum based on inverse integral transformation method


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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/58437

Title:	Calculating relaxation time distribution function from power spectrum based on inverse integral transformation method
Authors:	Yatabe, Zenji Browse this author
	Muramatsu, Toru Browse this author
	Asubar, Joel T. Browse this author
	Kasai, Seiya Browse this author
Keywords:	Pink noise
	McWhorter model
	Inverse Stieltjes transform
	Distribution function
	Field-effect transistor
Issue Date:	20-Mar-2015
Publisher:	Elsevier
Journal Title:	Physics Letters A
Volume:	379
Issue:	7
Start Page:	738
End Page:	742
Publisher DOI:	10.1016/j.physleta.2014.12.040
Abstract:	A novel method is presented for obtaining the distribution function of relaxation times G(tau) from power spectrum 1/f(alpha) (1 <= alpha <= 2). It is derived using McWhorter model and its inverse Stieltjes transform. Unlike the pre-assumed conventional g(tau) distribution, the extracted G(tau) has a peak whose width increases as the slope of the power spectrum alpha decreases. The peak position determines the dominant time constant of the system. Our method is unique because the distribution function is directly extracted from the measured power spectrum. We then demonstrate the validity of this method in the analysis of noise in transistor.
Type:	article (author version)
URI:	http://hdl.handle.net/2115/58437
Appears in Collections:	量子集積エレクトロニクス研究センター (Research Center for Integrated Quantum Electronics) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 谷田部然治

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