Published April 1, 2023 | Version Published
Journal Article Open

Magnetic Misalignment of Interstellar Dust Filaments

  • 1. ROR icon Stanford University
  • 2. ROR icon Kavli Institute for Particle Astrophysics and Cosmology
  • 3. ROR icon California Institute of Technology

Abstract

We present evidence for scale-independent misalignment of interstellar dust filaments and magnetic fields. We estimate the misalignment by comparing millimeter-wave dust-polarization measurements from Planck with filamentary structures identified in neutral-hydrogen (H i) measurements from Hi4PI. We find that the misalignment angle displays a scale independence (harmonic coherence) for features larger than the Hi4PI beamwidth (16.′2). We additionally find a spatial coherence on angular scales of O_(1°). We present several misalignment estimators formed from the auto- and cross-spectra of dust-polarization and H i-based maps, and we also introduce a map-space estimator. Applied to large regions of the high-Galactic-latitude sky, we find a global misalignment angle of ∼2°, which is robust to a variety of masking choices. By dividing the sky into small regions, we show that the misalignment angle correlates with the parity-violating TB cross-spectrum measured in the Planck dust maps. The misalignment paradigm also predicts a dust EB signal, which is of relevance in the search for cosmic birefringence but as yet undetected; the measurements of EB are noisier than those of TB, and our correlations of EB with misalignment angle are found to be weaker and less robust to masking choices. We also introduce an H i-based dust-polarization template constructed from the Hessian matrix of the H i intensity, which is found to correlate more strongly than previous templates with Planck dust B modes.

Additional Information

© 2023. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. We thank Dominic Beck, Federico Bianchini, Chao-Lin Kuo, Enrique Lopez-Rodriguez, and Kimmy Wu for advice and helpful conversations. This work was partly supported by the National Science Foundation under grant No. 2106607. Some of the computing was performed on the Sherlock cluster; we thank Stanford University and the Stanford Research Computing Center. This work makes use of observations obtained with Planck (http://www.esa.int/Planck), an ESA science mission with instruments and contributions directly funded by ESA Member States, NASA, and Canada. Hi4PI is based on observations with the 100 m telescope of the MPIfR at Effelsberg and the Parkes Radio Telescope, part of the Australia Telescope National Facility, which is funded by the Australian Government and managed by CSIRO. Software: healpy (Zonca et al. 2019), matplotlib (Hunter 2007), NaMaster (Alonso et al. 2019), numpy (Harris et al. 2020), scipy (Virtanen et al. 2020).

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Identifiers

Eprint ID
121269
Resolver ID
CaltechAUTHORS:20230502-987371300.4

Funding

NSF
AST-2106607
Commonwealth Scientific and Research Organization (CSIRO)

Dates

Created
2023-05-03
Created from EPrint's datestamp field
Updated
2023-05-03
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