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ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
Published on: August 19, 2021
Theoretical spectroscopic characterization of the ArBeO complex
Y Tebai1, N-E Jaidane1, D Ben Abdallah1
1Laboratoire de Spectroscopie Atomique, Moléculaire et Applications - LSAMA, Université de Tunis El Manar, Tunis, Tunisia.
We mapped the Ar-BeO complex potential energy surface (PES) and calculated its rovibrational spectrum. High rovibrational levels show large amplitude motions and anharmonic resonances, aiding van der Waals mode identification.
Area of Science:
- Computational Chemistry
- Molecular Spectroscopy
- Quantum Mechanics
Background:
- Understanding intermolecular interactions is crucial in physical chemistry.
- The Ar-BeO complex serves as a model system for studying van der Waals forces.
- Accurate potential energy surfaces are essential for predicting molecular behavior.
Purpose of the Study:
- To generate a three-dimensional potential energy surface (3D-PES) for the ground state of the Ar-BeO complex.
- To calculate the rovibrational spectrum of the Ar-BeO complex up to its dissociation limit.
- To investigate the nature of high rovibrational levels and anharmonic resonances.
Main Methods:
- Employed the explicitly correlated coupled cluster method with the aug-cc-pVTZ basis set.
- Generated a 3D-PES covering global/local minima, saddle point, and dissociation regions.
- Calculated the rovibrational spectrum using the generated PES.
Main Results:
- The 3D-PES accurately describes key regions of the Ar-BeO potential energy landscape.
- The calculated rovibrational spectrum reveals a high density of energy levels.
- High rovibrational states exhibit large amplitude motions and significant anharmonic resonances.
Conclusions:
- The theoretical spectrum provides a valuable tool for experimental identification of Ar-BeO van der Waals modes.
- The observed anharmonic resonances indicate complex intramolecular dynamics.
- This study advances the understanding of weakly bound complexes through high-level computational methods.
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