Effects of Grain Alignment Efficiency on Synthetic Dust Polarization Observations of Molecular Clouds
Patrick K. King, Che-Yu Chen, Laura M. Fissel, and Zhi-Yun Li

TL;DR
This study introduces a model for variable grain alignment efficiency based on local gas density to better match observed polarization characteristics in molecular clouds, highlighting the importance of heterogeneous alignment effects.
Contribution
It presents a simple, density-dependent grain alignment model integrated into synthetic polarization observations, improving agreement with real data and exploring degeneracies in magnetic field interpretations.
Findings
Heterogeneous alignment models improve polarization fraction-column density correlation.
Polarization angle dispersion remains robust despite alignment heterogeneity.
Degeneracy exists between turbulence strength and magnetic field orientation.
Abstract
It is well known that the polarized continuum emission from magnetically aligned dust grains is determined to a large extent by local magnetic field structure. However, the observed significant anticorrelation between polarization fraction and column density may be strongly affected, perhaps even dominated by variations in grain alignment efficiency with local conditions, in contrast to standard assumptions of a spatially homogeneous grain alignment efficiency. Here we introduce a generic way to incorporate heterogeneous grain alignment into synthetic polarization observations of molecular clouds, through a simple model where the grain alignment efficiency depends on the local gas density as a power-law. We justify the model using results derived from radiative torque alignment theory. The effects of power-law heterogeneous alignment models on synthetic observations of simulated…
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