Cosmological zoom-in simulations find that grain-grain shattering in diffuse ISM gas drives rising PAH mass fraction with time, naturally producing the observed PAH-metallicity relation and inverse qPAH-molecular gas trends.
The Astrodust+PAH Model: A Unified Description of the Extinction, Emission, and Polarization from Dust in the Diffuse Interstellar Medium
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
We present a new model of interstellar dust in which large grains are a single composite material, ``astrodust,'' and nanoparticle-sized grains come in distinct varieties including polycyclic aromatic hydrocarbons (PAHs). We argue that a single-composition model for grains larger than $\sim$0.02 $\mu$m most naturally explains the lack of frequency dependence in the far-infrared (FIR) polarization fraction and the characteristic ratio of optical to FIR polarization. We derive a size distribution and alignment function for 1.4:1 oblate astrodust grains that, with PAHs, reproduce the mean wavelength dependence and polarization of Galactic extinction and emission from the diffuse interstellar medium while respecting constraints on solid phase abundances. All model data and Python-based interfaces are made publicly available.
fields
astro-ph.GA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A Bayesian inference method combining HI4PI radio data with Gaia-based 3D dust maps reconstructs the 3D density, velocity, and line-width of local atomic hydrogen within 1.25 kpc, validated by synthetic tests and independent maser/cluster velocity comparisons.
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The Lifecycle and Emission Properties of PAHs in Cosmological Hydrodynamic Galaxy Formation Simulations
Cosmological zoom-in simulations find that grain-grain shattering in diffuse ISM gas drives rising PAH mass fraction with time, naturally producing the observed PAH-metallicity relation and inverse qPAH-molecular gas trends.
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Milky Way Atlas: A radial-velocity-resolved, three-dimensional map of H I within 1.25 kpc
A Bayesian inference method combining HI4PI radio data with Gaia-based 3D dust maps reconstructs the 3D density, velocity, and line-width of local atomic hydrogen within 1.25 kpc, validated by synthetic tests and independent maser/cluster velocity comparisons.