Turbulent collapsing clouds – Canadian Institute for Theoretical Astrophysics The Canadian Institute for Theoretical Astrophysics is a nationally supported research centre located at the University of Toronto that is devoted to studying the origin and evolution of the universe, and the many wonderful phenomena revealed by modern astronomy. Thu, 24 Sep 2026 02:41:54 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.10 Ambipolar diffusion and the mass-to-flux ratio in turbulent collapsing clouds /ambipolar-diffusion-and-the-mass-to-flux-ratio-in-turbulent-collapsing-clouds/ Thu, 19 Jun 2025 12:37:47 +0000 /?post_type=portfolio&p=14540

Ambipolar diffusion and the mass-to-flux ratio in turbulent collapsing clouds

Aris Tritsis (EPFL) — June 19, 2025

Abstract

Given the low ionization fraction of molecular clouds, ambipolar diffusion inevitably sets in at some stage during the star-formation process. However, computational challenges have hindered a comprehensive exploration of the effects of ambipolar diffusion in three dimensions. In this talk, I will present results from 3-dimensional non-ideal MHD chemo-dynamical simulations of turbulent collapsing molecular clouds where the resistivities are self-consistently calculated from a non-equilibrium chemical network consisting of 115 species, and with a different mean collisional rate used for each charged species in the network. These simulations reveal that, contrary to “conventional wisdom”, the features of the neutral-ion drift velocity become increasingly complex in the presence of turbulence, with many vectors even pointing outward from the cloud’s center. I will discuss the implications of this behavior for the spatial and temporal evolution of the true (i.e. differential) mass-to-flux ratio. To assess observational biases in measuring the neutral-ion drift, I have also conducted a number of non-LTE line radiative-transfer experiments and developed a roadmap to observationally constraint it. Finally, I will compare the true and observationally inferred mass-to-flux ratios, highlighting key biases and their implications.

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