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Data analysis and uncertainty estimation in supercontinuum laser absorption spectroscopy.

Johannes Emmert1,2, Niels Göran Blume1,2, Andreas Dreizler1

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Summary
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New algorithms enable accurate super continuum laser absorption spectroscopy (SCLAS) analysis for temperature, pressure, and concentration without background measurements. This method simplifies spectral data evaluation and enhances precision.

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Area of Science:

  • Spectroscopy
  • Laser Physics
  • Analytical Chemistry

Background:

  • Super continuum laser absorption spectroscopy (SCLAS) is a powerful technique for gas analysis.
  • Accurate evaluation of SCLAS measurements typically requires simultaneous background intensity measurements, complicating experimental setups.
  • Existing methods may lack robustness in determining the spectrometer's instrument function.

Purpose of the Study:

  • To develop and present algorithms for evaluating SCLAS measurements without simultaneous background intensity measurements.
  • To provide a method for in-situ determination of the spectrometer's instrument function.
  • To assess the measurement precision of the proposed evaluation approach.

Main Methods:

  • A non-linear model fitting approach is employed for spectral data evaluation.
  • The influence of the spectrometer's instrument function is analyzed.
  • In-situ determination of the instrument function is achieved without additional hardware.
  • Error propagation through the non-linear model is used for precision assessment.

Main Results:

  • Algorithms facilitate SCLAS measurement evaluation for temperature, pressure, and species concentration.
  • The method eliminates the need for simultaneous background intensity measurements.
  • In-situ instrument function determination is demonstrated.
  • Validation using methane gas cell measurements up to 8.7 bar shows reliable performance.

Conclusions:

  • The presented algorithms offer a simplified and precise method for SCLAS data evaluation.
  • The approach is transferable to other spectroscopic techniques requiring instrument function determination.
  • This work advances the applicability of SCLAS in various gas analysis scenarios.