TY - JOUR
T1 - Dynamics of dust grains in turbulent molecular clouds
T2 - Conditions for decoupling and limits of different numerical implementations
AU - Commerçon, B.
AU - Lebreuilly, U.
AU - Price, D. J.
AU - Lovascio, F.
AU - Laibe, G.
AU - Hennebelle, P.
N1 - Funding Information:
This work was granted access to the HPC resources of CINES (Occigen) under the allocation 2018-047247 made by GENCI. We gratefully acknowledge support from the PSMN (Pôle Scientifique de Modélisation Numérique) of the ENS de Lyon. B.C. and F.L. have received fundings from the French national agency ANR DISKBUILD ANR-20-CE49-0006. This work was supported with funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska Curie grant agreement No 823823 (RISE DUSTBUSTERS project). B.C. acknowledges financial support from "Programme National de Physique Stellaire" (PNPS) of CNRS/INSU, CEA and CNES, France. U.L. acknowledges financial support from the European Research Council (ERC) via the ERC Synergy Grant ECOGAL (grant 855130).
Publisher Copyright:
© 2023 The Authors.
PY - 2023/3
Y1 - 2023/3
N2 - Context. Dust grain dynamics in molecular clouds is regulated by its interplay with supersonic turbulent gas motions. The conditions under which interstellar dust grains decouple from the dynamics of gas in molecular clouds remain poorly constrained. Aims. We first aim to investigate the critical dust grain size for dynamical decoupling, using both analytical predictions and numerical experiments. Second, we aim to set the range of validity of two fundamentally different numerical implementations for the evolution of dust and gas mixtures in turbulent molecular clouds. Methods. We carried out a suite of numerical experiments using two different schemes to integrate the dust grain equation of motion within the same framework. First, we used a monofluid formalism (or often referred to as single fluid) in the terminal velocity approximation. This scheme follows the evolution of the barycentre of mass between the gas and the dust on a Eulerian grid. Second, we used a two-fluid scheme, in which the dust dynamics is handled with Lagrangian super-particles, and the gas dynamics on a Eulerian grid. Results. The monofluid results are in good agreement with the theoretical critical size for decoupling. We report dust dynamics decoupling for Stokes number St > 0.1, that is, dust grains of s > 4 μm in size. We find that the terminal velocity approximation is well suited for grain sizes of 10 μm in molecular clouds, in particular in the densest regions. However, the maximum dust enrichment measured in the low-density material - where St > 1 - is questionable. In the Lagrangian dust experiments, we show that the results are affected by the numerics for all dust grain sizes. At St ª 1, the dust dynamics is largely affected by artificial trapping in the high-density regions, leading to spurious variations of the dust concentration. At St > 1, the maximum dust enrichment is regulated by the grid resolution used for the gas dynamics. Conclusions. Dust enrichment of submicron dust grains is unlikely to occur in the densest parts of molecular clouds. Two fluid implementations using a mixture of Eulerian and Lagrangian descriptions for the dust and gas mixture dynamics lead to spurious dust concentration variations in the strongly and weakly coupled regimes. Conversely, the monofluid implementation using the terminal velocity approximation does not accurately capture dust dynamics in the low-density regions, that is, where St > 1. The results of previous similar numerical work should therefore be revisited with respect to the limitations we highlight in this study.
AB - Context. Dust grain dynamics in molecular clouds is regulated by its interplay with supersonic turbulent gas motions. The conditions under which interstellar dust grains decouple from the dynamics of gas in molecular clouds remain poorly constrained. Aims. We first aim to investigate the critical dust grain size for dynamical decoupling, using both analytical predictions and numerical experiments. Second, we aim to set the range of validity of two fundamentally different numerical implementations for the evolution of dust and gas mixtures in turbulent molecular clouds. Methods. We carried out a suite of numerical experiments using two different schemes to integrate the dust grain equation of motion within the same framework. First, we used a monofluid formalism (or often referred to as single fluid) in the terminal velocity approximation. This scheme follows the evolution of the barycentre of mass between the gas and the dust on a Eulerian grid. Second, we used a two-fluid scheme, in which the dust dynamics is handled with Lagrangian super-particles, and the gas dynamics on a Eulerian grid. Results. The monofluid results are in good agreement with the theoretical critical size for decoupling. We report dust dynamics decoupling for Stokes number St > 0.1, that is, dust grains of s > 4 μm in size. We find that the terminal velocity approximation is well suited for grain sizes of 10 μm in molecular clouds, in particular in the densest regions. However, the maximum dust enrichment measured in the low-density material - where St > 1 - is questionable. In the Lagrangian dust experiments, we show that the results are affected by the numerics for all dust grain sizes. At St ª 1, the dust dynamics is largely affected by artificial trapping in the high-density regions, leading to spurious variations of the dust concentration. At St > 1, the maximum dust enrichment is regulated by the grid resolution used for the gas dynamics. Conclusions. Dust enrichment of submicron dust grains is unlikely to occur in the densest parts of molecular clouds. Two fluid implementations using a mixture of Eulerian and Lagrangian descriptions for the dust and gas mixture dynamics lead to spurious dust concentration variations in the strongly and weakly coupled regimes. Conversely, the monofluid implementation using the terminal velocity approximation does not accurately capture dust dynamics in the low-density regions, that is, where St > 1. The results of previous similar numerical work should therefore be revisited with respect to the limitations we highlight in this study.
KW - Dust
KW - Extinction
KW - Hydrodynamics
KW - Methods: numerical
KW - Stars: formation
KW - Turbulence
UR - http://www.scopus.com/inward/record.url?scp=85150803054&partnerID=8YFLogxK
U2 - 10.1051/0004-6361/202245141
DO - 10.1051/0004-6361/202245141
M3 - Article
AN - SCOPUS:85150803054
SN - 0004-6361
VL - 671
JO - Astronomy & Astrophysics
JF - Astronomy & Astrophysics
M1 - A128
ER -