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2019
DOI: 10.1093/mnras/stz1869
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Ambipolar diffusion and the molecular abundances in pre-stellar cores

Abstract: We investigate differences in the molecular abundances between magnetically superand sub-critical prestellar cores, performing three-dimensional non-ideal magnetohydrodynamical (MHD) simulations with varying densities and magnetic field strengths, and post-processing the results with a time-dependent gas-grain chemical code. Most molecular species show significantly more central depletion in subcritical models, due to the longer duration of collapse. However, the directly observable quantities -the molecule to… Show more

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Cited by 20 publications
(29 citation statements)
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“…Federrath (2016) find that the inclusion of magnetic fields does not significantly affect the properties of filaments formed in their simulations. However, dynamically important magnetic fields can have a major effect on the abundances of key molecules, particularly in the densest regions (Tassis et al 2012;Priestley et al 2018Priestley et al , 2019. Other models of filament formation, such as cloud-cloud collisions (e.g.…”
Section: Discussionmentioning
confidence: 99%
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“…Federrath (2016) find that the inclusion of magnetic fields does not significantly affect the properties of filaments formed in their simulations. However, dynamically important magnetic fields can have a major effect on the abundances of key molecules, particularly in the densest regions (Tassis et al 2012;Priestley et al 2018Priestley et al , 2019. Other models of filament formation, such as cloud-cloud collisions (e.g.…”
Section: Discussionmentioning
confidence: 99%
“…For isothermal gas where hydrogen is already in molecular form, the chemical evolution is almost completely decoupled from the hydrodynamics. We can therefore post-process our SPH results with a time-dependent chemical code, as in Priestley, Wurster & Viti (2019). We use a subset of 10 000 SPH particles, 1 chosen randomly from those with initial positions inside the cloud, and input their density evolution as a function of time into UCL CHEM (Holdship et al 2017), which uses the UMIST12 reaction network (McElroy et al 2013) with additional molecular freeze-out and grain surface reactions as described in Holdship et al (2017).…”
Section: E T H O Dmentioning
confidence: 99%
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“…Following Priestley et al (2019), we use the PHANTOM smoothed particle (magneto)hydrodynamics (SPH) code (Price et al 2018) to run models of spherical, static, uniform density pre-stellar cores with a constant magnetic field in the z-direction. The ambipolar diffusion coefficient is calculated using the NICIL library (Wurster 2016); as NICIL does not include molecular ions, which are the dominant ionized species at the densities we investigate, we assume that the ion density is given by…”
Section: E T H O Dmentioning
confidence: 99%
“…In Priestley, Wurster & Viti (2019), we post-processed a fully three-dimensional non-ideal magnetohydrodynamical (MHD) model with a time-dependent chemical network in order to determine the molecular structure of initially subcritical and supercritical collapse models. While several molecules differ by orders of magnitude in abundance in the central regions of the pre-stellar cores, due to enhanced freeze-out in the subcritical models, we found the molecular column density profiles were too similar to distinguish the two cases, due to intervening material along the line of sight.…”
mentioning
confidence: 99%