Escaping the maze: a statistical sub-grid model for cloud-scale density structures in the interstellar medium
Tobias Buck (1), Christoph Pfrommer (1), Philipp Girichidis (2,1),, Bogdan Corobean (1), ((1) Leibniz-Institut f\"ur Astrophysik Potsdam (AIP),, Potsdam, Germany, (2) Universit\"at Heidelberg, Zentrum f\"ur Astronomie,, Institut f\"ur Theoretische Astrophysik (ITA), Heidelberg

TL;DR
This paper introduces a statistical sub-grid model to estimate small-scale density structures in the interstellar medium from coarse data, improving understanding of cloud properties and radiation leakage in galaxy simulations.
Contribution
The authors develop a novel statistical model linking large-scale clumping factors to small-scale density structures in the ISM, enabling better resolution of unresolved features.
Findings
Clumping increases the covering fraction by up to 30% at low densities.
At higher densities, clumping reduces covering fraction and causes large variability.
Model predictions align with observed variations in ISM cloud structures.
Abstract
The interstellar medium (ISM) is a turbulent, highly structured multi-phase medium. State-of-the-art cosmological simulations of the formation of galactic discs usually lack the resolution to accurately resolve those multi-phase structures. However, small-scale density structures play an important role in the life cycle of the ISM, and determine the fraction of cold, dense gas, the amount of star formation and the amount of radiation and momentum leakage from cloud-embedded sources. Here, we derive a to calculate the unresolved small-scale ISM density structure from coarse-grained, volume-averaged quantities such as the , , and mean density . Assuming that the large-scale ISM density is statistically isotropic, we derive a relation between the three-dimensional clumping factor, , and the…
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