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Automated, context-free assignment of asymmetric rotor microwave spectra

机译:自动化,无对称转子微波光谱的无内容性分配

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摘要

We present a new algorithm, Robust Automated Assignment of Rigid Rotors (RAARR), for assigning rotational spectra of asymmetric tops. The RAARR algorithm can automatically assign experimental spectra under a broad range of conditions, including spectra comprised of multiple mixture components, in less than or similar to 100 s. The RAARR algorithm exploits constraints placed by the conservation of energy to find sets of connected lines in an unassigned spectrum. The highly constrained structure of these sets eliminates all but a handful of plausible assignments for a given set, greatly reducing the number of potential assignments that must be evaluated. We successfully apply our algorithm to automatically assign 15 experimental spectra, including 5 previously unassigned species, without prior estimation of molecular rotational constants. In 9 of the 15 cases, the RAARR algorithm successfully assigns two or more mixture components. Published under license by AIP Publishing.
机译:我们提出了一种新的算法,鲁棒自动分配的刚性转子(RAAR),用于分配不对称上面的旋转光谱。 RAAR算法可以在广泛的条件下自动分配实验光谱,包括由多个混合物组分组成的光谱,小于或类似于100秒。 RAARR算法利用由能量守恒进行的约束来在未分配的频谱中找到连接的连接线。 这些集合的高度约束结构消除了对给定集的所有合理的分配,大大减少了必须评估的潜在分配的数量。 我们成功地应用了算法以自动分配15个实验光谱,包括5个以前未分配的物种,而无需先前估计分子旋转常数。 在15例中的9例中,RAAR算法成功分配了两个或更多个混合组分。 通过AIP发布在许可证下发布。

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