A network approach to atomic spectra
Network science provides a universal framework for modeling complex systems, contrasting the reductionist approach generally adopted in physics. In a prototypical study, we utilize network models created from spectroscopic data of atoms to predict microscopic properties of the underlying physical sy...
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| Main Authors: | , , , , , |
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| Format: | Article (Journal) Chapter/Article |
| Language: | English |
| Published: |
9 Feb 2022
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| In: |
Arxiv
Year: 2022, Pages: 1-11 |
| DOI: | 10.48550/arXiv.2202.04342 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.48550/arXiv.2202.04342 Verlag, kostenfrei, Volltext: http://arxiv.org/abs/2202.04342 
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| Author Notes: | David Wellnitz, Armin Kekić, Julian Heiss, Michael Gertz, Matthias Weidemüller, and Andreas Spitz |
| Summary: | Network science provides a universal framework for modeling complex systems, contrasting the reductionist approach generally adopted in physics. In a prototypical study, we utilize network models created from spectroscopic data of atoms to predict microscopic properties of the underlying physical system. For simple atoms such as helium, an a posteriori inspection of spectroscopic network communities reveals the emergence of quantum numbers and symmetries. For more complex atoms such as thorium, finer network hierarchies suggest additional microscopic symmetries or configurations. Link prediction yields a quantitative ranking of yet unknown atomic transitions, offering opportunities to discover new spectral lines in a well-controlled manner. Our work promotes a genuine bi-directional exchange of methodology between network science and physics, and presents new perspectives for the study of atomic spectra. |
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| Item Description: | Gesehen am 11.01.2024 |
| Physical Description: | Online Resource |
| DOI: | 10.48550/arXiv.2202.04342 |