ExoMol line lists -- LXIII: ExoMol line lists for 12 isotopologues of CO$_2$

TL;DR

This paper presents comprehensive rovibrational line lists for 12 CO2 isotopologues using advanced computational methods, empirical data, and machine learning, enabling improved atmospheric modeling and spectroscopic analysis.

Contribution

The study provides the first extensive line lists for multiple CO2 isotopologues, integrating empirical data, ab initio calculations, and machine learning for quantum number assignment.

Findings

Generated accurate line lists for 12 CO2 isotopologues.

Validated line lists with radiative transfer codes for atmospheric applications.

Enhanced spectral data accuracy for planetary and atmospheric studies.

Abstract

Extensive rovibrational line lists are constructed for 12 isotopologues of carbon dioxide: $^{12}$C$^{16}$O$_2$, $^{13}$C$^{16}$O$_2$, $^{12}$C$^{17}$O$_2$, $^{13}$C$^{17}$O$_2$, $^{12}$C$^{18}$O$_2$, $^{13}$C$^{18}$O$_2$, $^{16}$O$^{12}$C$^{17}$O, $^{16}$O$^{12}$C$^{18}$O, $^{16}$O$^{13}$C$^{17}$O, $^{16}$O$^{13}$C$^{18}$O, $^{17}$O$^{12}$C$^{18}$O, and $^{17}$O$^{13}$C$^{18}$O. The variational program TROVE was employed together with an exact kinetic energy operator, accurate empirical potential energy surface (Ames-2) and the ab initio dipole moment surface Ames-2021-40K. Empirical energy levels from the most recent MARVEL analyses, as well as from the HITRAN and CDSD databases, are used to replace calculated values where available. The line lists are further supplemented by assigning AFGL quantum numbers using machine-learning based estimators. The resulting data were employed to generate opacities with four radiative transfer codes, TauREx, ARCiS, NEMESIS, and petitRADTRANS, both for individual isotopologues and for CO$_2$ at terrestrial isotopic natural abundance. All line lists and associated data are available at www.exomol.com.