• DocumentCode
    1328668
  • Title

    Analyzing UV/Vis/NIR Spectra—Correct and Efficient Parameter Extraction

  • Author

    Stadler, Andreas

  • Author_Institution
    Univ. of Salzburg, Salzburg, Austria
  • Volume
    10
  • Issue
    12
  • fYear
    2010
  • Firstpage
    1921
  • Lastpage
    1931
  • Abstract
    Correct and efficient optical analyses of transparent conducting oxide (TCO) and absorbing layers are necessary to select appropriate materials for thin-film solar cells. A non-numerical theoretical concept has been developed to extract approximation-free optical parameters from UV/Vis/NIR spectra for single-layer systems. Complex parameter evaluation is possible. Approximations for multilayer systems and measurements without integrating spheres are provided. UV/Vis/NIR spectroscopy measurements (Perkin Elmer Lambda 750) were made, evaluated, and discussed for semiconducting n-doped silicon (Active Business Company GmbH), insulating boron silicate glass (BSG, AF45 from Schott AG) and a TCO thin film, namely, aluminum-doped zinc-oxide (ZnO:Al), upon BSG. A variety of results, including conductivities, were compared (relative) to those of the well known Swanepoel model (which neglects reflection spectra). Quantum mechanical potential barrier models were applied to reevaluate spectra in order to compare it (absolute) with measured data.
  • Keywords
    glass; infrared spectroscopy; insulating materials; solar cells; UV/Vis/NIR spectra; absorbing layers; optical analyses; parameter extraction; quantum mechanical potential barrier models; spectroscopy measurements; thin-film solar cells; transparent conducting oxide; Absorption; Approximation methods; Equations; Mathematical model; Reflection; Semiconductor device measurement; Substrates; Insulator; UV/Vis/NIR; semiconductor; solar cell; spectroscopy; transparent conducting oxide (TCO);
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2010.2053704
  • Filename
    5579972