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Precise predictions of H2O line shapes over a wide pressure range using simulations corrected by a single measurement

机译:使用单个测量校正的模拟,在宽压力范围内精确预测在宽压力范围内形成

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In this work, we show that precise predictions of the shapes of H2O rovibrational lines broadened by N-2, over a wide pressure range, can be made using simulations corrected by a single measurement. For that, we use the partially-correlated speed-dependent Keilson-Storer (pcsdKS) model whose parameters are deduced from molecular dynamics simulations and semi-classical calculations. This model takes into account the collision-induced velocity-changes effects, the speed dependences of the collisional line width and shift as well as the correlation between velocity and internal-state changes. For each considered transition, the model is corrected by using a parameter deduced from its broadening coefficient measured for a single pressure. The corrected-pcsdKS model is then used to simulate spectra for a wide pressure range. Direct comparisons of the corrected-pcsdKS calculated and measured spectra of 5 rovibrational lines of H2O for various pressures, from 0.1 to 1.2 atm, show very good agreements. Their maximum differences are in most cases well below 1%, much smaller than residuals obtained when fitting the measurements with the Voigt line shape. This shows that the present procedure can be used to predict H2O line shapes for various pressure conditions and thus the simulated spectra can be used to deduce the refined line shape parameters to complete spectroscopic databases, in the absence of relevant experimental values. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在这项工作中,我们表明可以使用通过单个测量校正的模拟来制造在宽压力范围内通过N-2扩大的H2O振动线的形状的精确预测。为此,我们使用部分相关的速度依赖性Keilson-Storer(PCSDK)模型,其参数从分子动力学模拟和半古典计算推导出。该模型考虑了碰撞诱导的速度变化效果,碰撞线宽和换档的速度依赖以及速度与内部状态之间的相关性。对于每个考虑的转换,通过使用从测量的整个压力测量的扩大系数推导的参数来校正模型。然后,校正的PCSDKS模型用于模拟宽压力范围的光谱。直接比较矫正PCSDK的比较和测量的5个Roviblation系列H2O的光谱,各种压力,从0.1到1.2atm,表现出非常好的协议。它们的最大差异在大多数情况下远低于1%,比用Voigt线形状拟合测量时获得的残留量小得多。这表明本方法可用于预测各种压力条件的H2O线形状,因此可以使用模拟光谱在没有相关实验值的情况下将精制的线形状参数推导到完全光谱数据库。 (c)2017 Elsevier Ltd.保留所有权利。

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  • 作者

    Ngo N. H.; Nguyen H. T.; Tran H.;

  • 作者单位

    Hanoi Natl Univ Educ Fac Phys 136 Xuan Thuy Hanoi Vietnam;

    Hanoi Natl Univ Educ Fac Phys 136 Xuan Thuy Hanoi Vietnam;

    PSL Res Univ Univ Paris Saclay Sorbonne Univ Ecole Polytech Ecole Normale Super Lab Meteorol Dynam IPSL UPMC Univ Paris 06 CNRS 4 Pl Jussieu F-75005 Paris France;

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  • 正文语种 eng
  • 中图分类 光学;
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