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Background subtraction in Fourier-domain mobility spectrum analysis for resolving low-mobility carriers

机译:傅里叶域迁移谱分析中的背景减法用于解决低迁移率载体

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Narrow gap semiconductors and superlattices relevant to optoelectronics often host multiple conducting species, such as electrons and holes, requiring a mobility spectral analysis (MSA) method to separate contributions to the conductivity. Building on the Fourier-domain MSA (FMSA) method proposed previously by the authors, we introduce a background subtraction step prior to FMSA to more accurately extract the spectral mobilities below what is normally considered the low mobility threshold μ_(th) = 1/B_(max), where B_(max) is the maximum magnetic field of the experimental data under analysis. This preliminary step subtracts a linear background from the magnetotransport data and enables a more accurate fit in the low mobility range by several orders of magnitude. Background subtraction extends the useful low-mobility limit by a factor of 5 to μ_(min) = 1/5B_(max), and can be easily applied in other MSA techniques where low mobilities are of interest.
机译:与光电子学相关的窄间隙半导体和超晶格通常包含多种导电物质,例如电子和空穴,因此需要迁移谱分析(MSA)方法来分离对导电性的贡献。在作者先前提出的傅里叶域MSA(FMSA)方法的基础上,我们在FMSA之前引入了背景减法步骤,以更准确地提取低于通常认为的低迁移率阈值μ_(th)= 1 / B_的光谱迁移率。 (max),其中B_(max)是分析中的实验数据的最大磁场。该初步步骤从磁传输数据中减去线性本底,并能够在低迁移率范围内更精确地拟合几个数量级。背景减法将有用的低迁移率限制扩展了5到μ_(min)= 1 / 5B_(max),并且可以轻松地应用于关注低迁移率的其他MSA技术。

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