A rotational line CO cooling rate prescription for AGB outflows
astro-ph.SR
Submitted: 2026-02-13
Updated: 2026-10-12
Comments: 15 pages, 33 figures; corrected typos in equations 12 and 14
Journal ref: RAS Techniques and Instruments, Volume 5, 2026, rzag009
Code: https://github.com/Magritte-code/Magritte-torch
License: http://creativecommons.org/licenses/by-nc-sa/4.0/
The gist: Asymptotic Giant Branch (AGB) stars significantly contribute to the chemical composition of the universe.
Terminology
Abstract
Asymptotic Giant Branch (AGB) stars significantly contribute to the chemical composition of the universe. In their outflows, complex chemistry takes place, which critically depends on the local temperature. Therefore, if we want to accurately model the AGB environment, we need accurate cooling rates. The CO molecule is abundant in AGB outflows, and has a dipole moment, which enables it to cool through emission from its rotational transitions. We therefore expect it to significantly contribute to cooling in this environment, even at low temperatures (10 K T 3000 K). Currently, CO cooling rates are available for ISM-like conditions, which encompasses a different parameter regime, with generally lower densities and velocity gradients, compared to AGB winds. Therefore, these ISM cooling rates might not be applicable to the AGB regime. In this paper, we compute CO cooling rates for hydrodynamics simulations of AGB outflows. To evaluate the net cooling rate, we calculate the energy level distribution of CO self-consistently, using the non Local Thermodynamical Equilibrium (NLTE) line radiative transfer code Magritte. We verify whether already existing CO cooling rate prescriptions for the interstellar medium (ISM) are applicable for this regime. We noticed minor differences between these prescriptions and our calculated cooling rates in general. However, when used far outside their originally intended parameter regimes, significant differences occur. Therefore, we propose a new CO cooling rate prescription for the AGB environment and we study how the computed cooling rate varies depending on input parameters.
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