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Predicting Accurate X-ray Absorption Spectra for CN$^+$, CN, and CN$^-$: Insights from Multiconfigurational and Density Functional Simulations

Chemical Physics 2025-05-08 v2 High Energy Astrophysical Phenomena Atomic and Molecular Clusters Computational Physics

Abstract

High-resolution X-ray spectroscopy is an essential tool in X-ray astronomy, enabling detailed studies of celestial objects and their physical and chemical properties. However, comprehensive mapping of high-resolution X-ray spectra for even simple interstellar and circumstellar molecules is still lacking. In this study, we conducted systematic quantum chemical simulations to predict the C1s X-ray absorption spectra of CN+^+, CN, and CN^-. Our findings provide valuable references for both X-ray astronomy and laboratory studies. We assigned the first electronic peak of CN+^+ and CN to C1s σ\rightarrow \sigma^* transitions, while the peak for CN^- corresponds to a C1s π\rightarrow \pi^* transition. We explained that the two-fold degeneracy (πxz\pi^*_{xz} and πyz\pi^*_{yz}) of the C1sπ\rightarrow\pi^* transitions results in CN^- exhibiting a significantly stronger first absorption compared to the other two systems. We further calculated the vibronic fine structures for these transitions using the quantum wavepacket method based on multiconfigurational-level, anharmonic potential energy curves, revealing distinct energy positions for the 0-0 absorptions at 280.7 eV, 279.6 eV, and 285.8 eV. Each vibronic profile features a prominent 0-0 peak, showing overall similarity but differing intensity ratios of the 0-0 and 0-1 peaks. Notably, introducing a C1s core hole leads to shortened C-N bond lengths and increased vibrational frequencies across all species. These findings enhance our understanding of the electronic structures and X-ray spectra of carbon-nitrogen species, emphasizing the influence of charge state on X-ray absorptions.

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Cite

@article{arxiv.2412.19065,
  title  = {Predicting Accurate X-ray Absorption Spectra for CN$^+$, CN, and CN$^-$: Insights from Multiconfigurational and Density Functional Simulations},
  author = {Jinyu Li and Sheng-Yu Wang and Lu Zhang and Guoyan Ge and Minrui Wei and Junxiang Zuo and Weijie Hua},
  journal= {arXiv preprint arXiv:2412.19065},
  year   = {2025}
}

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