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  • 1.
    Jakubek, Ryan S.
    et al.
    NASA Johnson Space Center, USA.
    Bhartia, Rohit
    Photon Systems Incorporated, USA.
    Uckert, Kyle
    California Institution of Technology, USA.
    Asher, Sanford A.
    University of Pittsburgh, USA.
    Czaja, Andrew D.
    University of Cincinnati, USA.
    Fries, Marc D.
    NASA Johnson Space Center, USA.
    Hand, Kevin
    California Institution of Technology, USA.
    Haney, Nikole C.
    NASA Johnson Space Center, USA.
    Razzell Hollis, Joseph
    The Natural History Museum, UK.
    Minitti, Michelle
    Framework, USA.
    Sharma, Shiv K.
    University of Hawaii, USA.
    Sharma, Sunanda
    California Institution of Technology, USA.
    Siljeström, Sandra
    RISE Research Institutes of Sweden, Materials and Production, Product Realisation Methodology.
    Calibration of Raman Bandwidths on the Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals (SHERLOC) Deep Ultraviolet Raman and Fluorescence Instrument Aboard the Perseverance Rover2023In: Applied Spectroscopy, ISSN 0003-7028, E-ISSN 1943-3530Article in journal (Refereed)
    Abstract [en]

    In this work, we derive a simple method for calibrating Raman bandwidths for the Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals (SHERLOC) instrument onboard NASA’s Perseverance rover. Raman bandwidths and shapes reported by an instrument contain contributions from both the intrinsic Raman band (IRB) and instrumental artifacts. To directly correlate bandwidth to sample properties and to compare bandwidths across instruments, the IRB width needs to be separated from instrumental effects. Here, we use the ubiquitous bandwidth calibration method of modeling the observed Raman bands as a convolution of a Lorentzian IRB and a Gaussian instrument slit function. Using calibration target data, we calculate that SHERLOC has a slit function width of 34.1 cm–1. With a measure of the instrument slit function, we can deconvolve the IRB from the observed band, providing the width of the Raman band unobscured by instrumental artifact. We present the correlation between observed Raman bandwidth and intrinsic Raman bandwidth in table form for the quick estimation of SHERLOC Raman intrinsic bandwidths. We discuss the limitations of using this model to calibrate Raman bandwidth and derive a quantitative method for calculating the errors associated with the calibration. We demonstrate the utility of this method of bandwidth calibration by examining the intrinsic bandwidths of SHERLOC sulfate spectra and by modeling the SHERLOC spectrum of olivine. 

  • 2.
    Pushp, Mohit
    et al.
    RISE Research Institutes of Sweden, Safety and Transport, Safety. University of Gothenburg, Sweden.
    Brackmann, Christian
    Lund University, Sweden.
    Davidsson, Kent
    RISE Research Institutes of Sweden, Bioeconomy and Health, Biorefinery and Energy. University of Gothenburg, Sweden.
    Infrared Spectroscopy for Online Measurement of Tars, Water, and Permanent Gases in Biomass Gasification2021In: Applied Spectroscopy, ISSN 0003-7028, E-ISSN 1943-3530, Vol. 75, no 6, p. 690-697Article in journal (Refereed)
    Abstract [en]

    Online measurements of the raw gas composition, including tars and water, during biomass gasification provide valuable information in fundamental investigations and for process control. Mainly consisting of hydrocarbons, tars can, in principle, be measured using Fourier transform infrared (FT-IR) spectroscopy. However, an instrument subjected to raw gas runs the risk of condensation of tars on optical components and subsequent malfunction. Therefore, an external cell, heated to at least 400 ℃, has been designed to ensure that tars remain in the gas phase during FT-IR measurements. The cell was used for on-line FT-IR measurements of permanent gases (CO, CO2, CH4), water, and tars during the operation of a lab-scale downdraft gasifier using wood pellets, bark pellets, and char chips. Based on calibration, the measurement error of permanent gases was estimated to be 0.2%. Concentrations evaluated from spectral signatures of hydrocarbons in tar are in good agreement with results from solid-phase adsorption measurements and correlated well with operational changes in the gasifier. 

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