Thomas M. Cross
A Large-scale Approach to Modeling Molecular Biosignatures: The Diatomics
Cross, Thomas M.; Benoit, David M.; Pignatari, Marco; Gibson, Brad K.
Authors
Dr David Benoit D.Benoit@hull.ac.uk
Senior Lecturer in Molecular Physics and Astrochemistry
Marco Pignatari
Brad K. Gibson
Abstract
This work presents the first steps to modeling synthetic rovibrational spectra for all molecules of astrophysical interest using a new approach implemented in the Prometheus code. The goal is to create a new comprehensive source of first-principles molecular spectra, thus bridging the gap for missing data to help drive future high-resolution studies. Our primary application domain is for molecules identified as signatures of life in planetary atmospheres (biosignatures), but our approach is general and can be applied to other systems. In this work we evaluate the accuracy of our method by studying four diatomic molecules, H2, O2, N2, and CO, all of which have well-known spectra. Prometheus uses the transition-optimised shifted Hermite (TOSH) theory to account for anharmonicity for the fundamental ν = 0 → ν = 1 band, along with thermal-profile modeling for the rotational transitions. To this end, we expand TOSH theory to enable the modeling of rotational constants. We show that our simple model achieves results that are a better approximation of the real spectra than those produced through an harmonic approach. We compare our results with high-resolution HITRAN and ExoMol spectral data. We find that modeling accuracy tends to diminish for rovibrational transition away from the band origin, thus highlighting the need for the theory to be further adapted.
Citation
Cross, T. M., Benoit, D. M., Pignatari, M., & Gibson, B. K. (2022). A Large-scale Approach to Modeling Molecular Biosignatures: The Diatomics. The Astrophysical journal, 925(1), Article 57. https://doi.org/10.3847/1538-4357/ac3976
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 11, 2021 |
Online Publication Date | Jan 25, 2022 |
Publication Date | Jan 20, 2022 |
Deposit Date | Jan 5, 2022 |
Publicly Available Date | Jan 31, 2022 |
Journal | Astrophysical Journal |
Print ISSN | 0004-637X |
Electronic ISSN | 1538-4357 |
Publisher | American Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 925 |
Issue | 1 |
Article Number | 57 |
DOI | https://doi.org/10.3847/1538-4357/ac3976 |
Keywords | Biosignatures; Astrochemistry |
Public URL | https://hull-repository.worktribe.com/output/3791281 |
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Copyright Statement
© 2022. The Author(s). Published by the American Astronomical Society.
Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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