Towards a Higher Comparability of Geothermometric Data obtained by Raman Spectroscopy of Carbonaceous Material. Part I: Evaluation of Biasing Factors |
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Authors: | Nils K. Lünsdorf Istvan Dunkl Burkhard C. Schmidt Gerd Rantitsch Hilmar von Eynatten |
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Affiliation: | 1. Department of Sedimentology and Environmental Geology, Geoscience Center Georg‐August‐Universit?t G?ttingen, , 37077 G?ttingen, Germany;2. Department of Experimental and Applied Mineralogy, Geoscience Center Georg‐August‐Universit?t G?ttingen, , 37077 G?ttingen, Germany;3. Department of Applied Geosciences and Geophysics, University of Leoben, , 8700 Leoben, Austria |
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Abstract: | Raman spectroscopy of carbonaceous material (RSCM) is frequently used to determine metamorphic peak temperatures from the structural order of carbonaceous material enclosed in metasediments. This method provides a quick, robust and relatively cheap geothermometer. However, the comparability of the RSCM parameter is low as there are at least three major sources of biasing factors. These sources are the spectral curve‐fitting procedure, the sample characteristics itself and the experimental design including the used Raman system. To assess the impacts of the biasing factors on RSCM, a series of experiments was performed. The experiments showed that curve‐fitting is strongly influenced by individual operator‐bias and the degrees of freedom in the model, implying the need for a standardised curve‐fitting procedure. Due to the diversity of components (optics, light detection device, gratings, etc.) and their combinations within the Raman systems, different Raman instruments generally give differing results. Consequently, to estimate comparable metamorphic temperatures from RSCM data, every Raman instrument needs its own calibration. This demands a reference material series that covers the entire temperature calibration range. Although sample heterogeneity will still induce some variation, a reference material series combined with standardised curve‐fitting procedures will significantly increase the overall comparability of RSCM data from different laboratories. |
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Keywords: | Raman spectroscopy carbonaceous material comparability geothermometer spectroscopie Raman maté riel carboné e comparabilité gé othermomè tre |
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