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From raw data to processed spectra: A step-by-step guide.

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Title: From raw data to processed spectra: A step-by-step guide.
Authors: Woering, Erik F.1 (AUTHOR), Hildner, Richard1 (AUTHOR) r.m.hildner@rug.nl
Source: American Journal of Physics. May2026, Vol. 94 Issue 5, p380-388. 9p.
Subjects: Absorption spectra, Data conversion, Fluorescence spectroscopy, Scientific computing, Spectrum analysis, Optical spectroscopy
Abstract: Optical spectroscopy is an important and widely used technique, for instance, to characterize new materials and to identify unknown compounds. Spectra are typically reported as a function of the wavelength of light, yet the information extracted from such spectra can be misleading. In contrast, spectra represented as a function of the frequency (or photon energy) allow for a more direct extraction of the intrinsic quantum-mechanical properties of the materials under investigation. Here, we discuss this conversion for absorption, fluorescence, and fluorescence excitation spectra. We show step-by-step the different factors that lead to a rescaling of the measured absorption and fluorescence signals. Editor's Note: A well-known issue in optical spectroscopy is that measurements are typically reported as functions of wavelengths, whereas the physically relevant quantities depend on energy. This paper offers a comprehensive review of how to perform the conversion correctly. As such, it should be extremely useful to both students and educators alike whenever they tackle problems in spectroscopic analysis. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Physics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: From raw data to processed spectra: A step-by-step guide.
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Physics%22">American Journal of Physics</searchLink>. May2026, Vol. 94 Issue 5, p380-388. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Absorption+spectra%22">Absorption spectra</searchLink><br /><searchLink fieldCode="DE" term="%22Data+conversion%22">Data conversion</searchLink><br /><searchLink fieldCode="DE" term="%22Fluorescence+spectroscopy%22">Fluorescence spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+computing%22">Scientific computing</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+spectroscopy%22">Optical spectroscopy</searchLink>
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  Data: Optical spectroscopy is an important and widely used technique, for instance, to characterize new materials and to identify unknown compounds. Spectra are typically reported as a function of the wavelength of light, yet the information extracted from such spectra can be misleading. In contrast, spectra represented as a function of the frequency (or photon energy) allow for a more direct extraction of the intrinsic quantum-mechanical properties of the materials under investigation. Here, we discuss this conversion for absorption, fluorescence, and fluorescence excitation spectra. We show step-by-step the different factors that lead to a rescaling of the measured absorption and fluorescence signals. Editor's Note: A well-known issue in optical spectroscopy is that measurements are typically reported as functions of wavelengths, whereas the physically relevant quantities depend on energy. This paper offers a comprehensive review of how to perform the conversion correctly. As such, it should be extremely useful to both students and educators alike whenever they tackle problems in spectroscopic analysis. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of American Journal of Physics is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1119/5.0250104
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        Text: English
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        PageCount: 9
        StartPage: 380
    Subjects:
      – SubjectFull: Absorption spectra
        Type: general
      – SubjectFull: Data conversion
        Type: general
      – SubjectFull: Fluorescence spectroscopy
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      – SubjectFull: Scientific computing
        Type: general
      – SubjectFull: Spectrum analysis
        Type: general
      – SubjectFull: Optical spectroscopy
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      – TitleFull: From raw data to processed spectra: A step-by-step guide.
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              Text: May2026
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              Y: 2026
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