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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Published inarXiv.org
Main Authors Wellnitz, David, Kekić, Armin, Heiss, Julian, Gertz, Michael, Weidemüller, Matthias, Spitz, Andreas
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 09.02.2022
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Abstract 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.
AbstractList 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.
Author Gertz, Michael
Spitz, Andreas
Wellnitz, David
Kekić, Armin
Heiss, Julian
Weidemüller, Matthias
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SubjectTerms Atomic spectra
Complex systems
Hierarchies
Inspection
Line spectra
Network analysis
Quantum numbers
Thorium
Title A Network Approach to Atomic Spectra
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