Introducing Fourier-domain mobility spectrum analysis (FMSA) to deduce multi-component carrier mobility and density

Boya Cui*, Yang Tang, Matthew A Grayson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Compounds and heterostructures in optical devices often host multiple carrier species that contribute simultaneously to the total electrical conduction, making it difficult to distinguish the characteristics of each type. Here a Fourier-domain Mobility Spectrum Analysis (FMSA)1is introduced to sort the conductivity contributions of different carrier species from magnetotransport measurements. Using simulated magnetotransport data from 0 to 15 T of a simple initial trial spectrum, FMSA iteratively adjusts the spectral points in either the mobility domain or its Fourier reciprocal space to fit a mobility range spanning over three orders of magnitude (μ = 670 ∼ 1,000,000 cm2/V·s). With its alternating local and global adjustments, FMSA is able to recover the mobility distribution of test data, as verified in convergence plots of the total error as a function of iteration number. This technique resolves the mobility spectra as well or better than competing MSA techniques with a simple and elegant algorithm, while precisely resolving the smoothness and width of mobility peaks without artificial broadening.

Original languageEnglish (US)
Title of host publicationQuantum Sensing and Nanophotonic Devices XII
EditorsManijeh Razeghi, Eric Tournie, Gail J. Brown
PublisherSPIE
Volume9370
ISBN (Electronic)9781628414608
DOIs
StatePublished - Jan 1 2015
EventQuantum Sensing and Nanophotonic Devices XII - San Francisco, United States
Duration: Feb 8 2015Feb 12 2015

Other

OtherQuantum Sensing and Nanophotonic Devices XII
CountryUnited States
CitySan Francisco
Period2/8/152/12/15

Keywords

  • Fourier transformation
  • Mobility spectrum analysis
  • parallel conduction

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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