Chemical Modelling of Young Stellar Objects, I. Method and Benchmarks
Simon Bruderer (ETH Zurich), Steven D. Doty (Denison University),, Arnold O. Benz (ETH Zurich)

TL;DR
This paper introduces a rapid chemical modeling tool for young stellar objects that significantly accelerates calculations while maintaining accuracy, facilitating analysis of molecular line observations from upcoming telescopes.
Contribution
A novel, fast interpolation-based chemical modeling method for YSOs that reduces computational time by over 250,000 times compared to direct modeling.
Findings
X-ray chemistry can be approximated by increased cosmic-ray ionization rates.
Enhanced CH+ abundance in low-density, high-ionization gas due to C++ recombination.
New insights into sulfur chemistry and initial abundances in hot cores.
Abstract
Upcoming facilities such as the Herschel Space Observatory or ALMA will deliver a wealth of molecular line observations of young stellar objects (YSOs). Based on line fluxes, chemical abundances can then be estimated by radiative transfer calculations. To derive physical properties from abundances, the chemical network needs to be modeled and fitted to the observations. This modeling process is however computationally exceedingly demanding, particularly if in addition to density and temperature, far UV (FUV) irradiation, X-rays, and multi-dimensional geometry have to be considered. We develop a fast tool, suitable for various applications of chemical modeling in YSOs. A grid of the chemical composition of the gas having a density, temperature, FUV irradiation and X-ray flux is pre-calculated as a function of time. A specific interpolation approach is developed to reduce the database…
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