The Astrophysical Journal (Jan 2024)

Modeling the Far-infrared Polarization Spectrum of a High-mass Star-forming Cloud

  • Dennis Lee,
  • Che-Yu Chen,
  • Giles Novak,
  • David T. Chuss,
  • Erin G. Cox,
  • Kaitlyn Karpovich,
  • Peter Ashton,
  • Marc Berthoud,
  • Zhi-Yun Li,
  • Joseph M. Michail

DOI
https://doi.org/10.3847/1538-4357/ad631c
Journal volume & issue
Vol. 972, no. 1
p. 102

Abstract

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The polarization spectrum, or wavelength dependence of the polarization fraction, of interstellar dust emission provides important insights into the grain alignment mechanism of interstellar dust grains. We investigate the far-infrared polarization spectrum of a realistic simulated high-mass star-forming cloud under various models of grain alignment and emission. We find that neither a homogeneous grain alignment model nor a grain alignment model that includes collisional dealignment is able to produce the falling spectrum seen in observations. On the other hand, we find that a grain alignment model with grain alignment efficiency dependent on local temperature is capable of producing a falling spectrum that is in qualitative agreement with observations of OMC-1. For the model most in agreement with OMC-1, we find no correlation between the temperature and the slope of the polarization spectrum. However, we do find a positive correlation between the column density and the slope of the polarization spectrum. We suggest this latter correlation to be the result of wavelength-dependent polarization by absorption.

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