Abstract

Improving the accuracy of absolute energies associated with rovibronic quantum states of molecules requires accurate high-resolution spectroscopy measurements. Such experiments yield transition wavenumbers from which the energies can be deduced via inversion procedures. To address the problem that not all transitions contribute equally to the goal of improving the accuracy of the energies, the method of Connecting Spectroscopic Components (CSC) is introduced. Using spectroscopic networks and tools of graph theory, CSC helps to find the most useful target transitions and target wavenumber regions for (re)measurement. The sets of transitions suggested by CSC should be investigated by experimental research groups in order to select those target lines which they can actually measure based on the apparatus available to them. The worked-out examples, utilizing extensive experimental spectroscopic data on the molecules H_2^{~16}O, ^{32}S^{16}O_2, H_2^{~12}C^{16}O, and ^{14}NH_{3}, clearly prove the overall usefulness of the CSC method and provide suggestions how CSC can be used for various tasks and under different practical circumstances.

Highlights

  • Due to their constant development, experimental highresolution molecular spectroscopic techniques [1] yield an ever-increasing amount of more and more precise and accurate information about the dynamics of molecules

  • The main result of this paper is the method of Connecting Spectroscopic Components (CSC), which provides a ranking of transition sets based on their usefulness when added to the original database

  • Practical examples we investigate how the CSC algorithm suggests transitions for re-measurement to improve the accuracy by which we know the absolute energies of quantum states

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Summary

Introduction

Due to their constant development, experimental highresolution molecular spectroscopic techniques [1] yield an ever-increasing amount of more and more precise and accurate information about the dynamics of molecules. The main result of this paper is the method of Connecting Spectroscopic Components (CSC), which provides a ranking of transition sets based on their usefulness when added to the original database.

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