Emmert Johannes, Blume Niels Göran, Dreizler Andreas, Wagner Steven
Department of Reactive Flows and Diagnostics, Technische Universität Darmstadt, 64287, Darmstadt, Germany.
High Temperature Process Diagnostics, Technische Universität Darmstadt, 64287, Darmstadt, Germany.
Sci Rep. 2018 Jul 9;8(1):10312. doi: 10.1038/s41598-018-28705-2.
A set of algorithms is presented that facilitates the evaluation of super continuum laser absorption spectroscopy (SCLAS) measurements with respect to temperature, pressure and species concentration without the need for simultaneous background intensity measurements. For this purpose a non-linear model fitting approach is employed. A detailed discussion of the influences on the instrument function of the spectrometer and a method for the in-situ determination of the instrument function without additional hardware are given. The evaluation procedure is supplemented by a detailed measurement precision assessment by applying an error propagation through the non-linear model fitting approach. While the algorithms are tailored to SCLAS, they can be transferred to other spectroscopic methods, that similarly require an instrument function. The presented methods are validated using gas cell measurements of methane in the near infrared region at pressures up to 8.7 bar.
本文提出了一组算法，该算法有助于在无需同时进行背景强度测量的情况下，针对温度、压力和物种浓度对超连续谱激光吸收光谱（SCLAS）测量进行评估。为此采用了非线性模型拟合方法。文中详细讨论了对光谱仪仪器函数的影响，并给出了一种无需额外硬件即可现场确定仪器函数的方法。通过应用误差传播至非线性模型拟合方法，对评估过程进行了详细的测量精度评估。虽然这些算法是针对SCLAS量身定制的，但它们可以应用于其他同样需要仪器函数的光谱方法。所提出的方法通过在高达8.7 巴的压力下对近红外区域甲烷的气室测量进行了验证。
