The evolution of HCO$^{+}$ in molecular clouds using a novel chemical post-processing algorithm
M. Panessa, D. Seifried, S. Walch, B. Gaches, A. T. Barnes, F. Bigiel,, L. Neumann

TL;DR
This paper introduces a novel post-processing algorithm to model the time-dependent evolution of HCO$^{+}$ in molecular clouds, providing detailed maps and insights into its formation pathways and distribution.
Contribution
The study presents a new chemical post-processing method that reconstructs density distributions from tracer particles, enabling detailed analysis of HCO$^{+}$ evolution in molecular clouds.
Findings
90% of HCO$^{+}$ forms in situ at moderate densities over 1 Myr
H$_{3}^{+}$ + CO is the dominant formation pathway above A_V=3
Produced HCO$^{+}$ column density maps agree with observations
Abstract
Modeling the chemistry of molecular clouds is critical to accurately simulating their evolution. To reduce computational cost, 3D simulations generally restrict their chemistry to species with strong heating and cooling effects. Time-dependent information about the evolution of other species is therefore often neglected. We address this gap by post-processing tracer particles in the SILCC-Zoom molecular cloud simulations. Using a chemical network of 39 species and 301 reactions (including freeze-out of CO and HO), and a novel algorithm to reconstruct a density grid from sparse tracer particle data, we produce time-dependent density distributions for various species. We focus upon the evolution of HCO, which is a critical formation reactant of CO but is not typically modeled on-the-fly. We find that % of the HCO content of the cold molecular gas forms in situ…
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Taxonomy
TopicsSpectroscopy and Laser Applications · Atmospheric Ozone and Climate · Astrophysics and Star Formation Studies
