Most-likely DCF Estimates of Magnetic Field Strength

The Davis–Chandrasekhar–Fermi (DCF) method is widely used to evaluate magnetic fields in star-forming regions. Yet it remains unclear how well DCF equations estimate the mean plane-of-the-sky field strength in a map region. To address this question, five DCF equations are applied to an idealized clo...

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Main Authors: Philip C. Myers, Ian W. Stephens, Simon Coudé
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/ad1596
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author Philip C. Myers
Ian W. Stephens
Simon Coudé
author_facet Philip C. Myers
Ian W. Stephens
Simon Coudé
author_sort Philip C. Myers
collection DOAJ
description The Davis–Chandrasekhar–Fermi (DCF) method is widely used to evaluate magnetic fields in star-forming regions. Yet it remains unclear how well DCF equations estimate the mean plane-of-the-sky field strength in a map region. To address this question, five DCF equations are applied to an idealized cloud map. Its polarization angles have a normal distribution with dispersion σ _θ , and its density and velocity dispersion have negligible variation. Each DCF equation specifies a global field strength B _DCF and a distribution of local DCF estimates. The “most-likely” DCF field strength B _ml is the distribution mode, for which a correction factor β _ml ≡ B _ml / B _DCF is calculated analytically. For each equation, β _ml < 1, indicating that B _DCF is a biased estimator of B _ml . The values of β _ml are β _ml ≈ 0.7 when ${B}_{\mathrm{DCF}}\propto {\sigma }_{\theta }^{-1}$ due to turbulent excitation of Alfvénic MHD waves, and β _ml ≈ 0.9 when ${B}_{\mathrm{DCF}}\propto {\sigma }_{\theta }^{-1/2}$ due to non-Alfvénic MHD waves. These statistical correction factors β _ml have partial agreement with correction factors ${\beta }_{\mathrm{sim}}$ obtained from MHD simulations. The relative importance of the statistical correction is estimated by assuming that each simulation correction has both a statistical and a physical component. Then the standard, structure function, and original DCF equations appear most accurate because they require the least physical correction. Their relative physical correction factors are 0.1, 0.3, and 0.4 on a scale from 0 to 1. In contrast, the large-angle and parallel- δ B equations have physical correction factors 0.6 and 0.7. These results may be useful in selecting DCF equations, within model limitations.
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spelling doaj.art-7c0651e9ffb243f4b60a5194201a2a892024-02-07T09:39:47ZengIOP PublishingThe Astrophysical Journal1538-43572024-01-0196216410.3847/1538-4357/ad1596Most-likely DCF Estimates of Magnetic Field StrengthPhilip C. Myers0https://orcid.org/0000-0002-2885-1806Ian W. Stephens1https://orcid.org/0000-0003-3017-4418Simon Coudé2https://orcid.org/0000-0002-0859-0805Center for Astrophysics , Harvard and Smithsonian, 60 Garden Street, Cambridge, MA 02138, USA ; pmyers@cfa.harvard.eduDepartment of Earth, Environment, and Physics, Worcester State University , Worcester, MA 01602, USADepartment of Earth, Environment, and Physics, Worcester State University , Worcester, MA 01602, USAThe Davis–Chandrasekhar–Fermi (DCF) method is widely used to evaluate magnetic fields in star-forming regions. Yet it remains unclear how well DCF equations estimate the mean plane-of-the-sky field strength in a map region. To address this question, five DCF equations are applied to an idealized cloud map. Its polarization angles have a normal distribution with dispersion σ _θ , and its density and velocity dispersion have negligible variation. Each DCF equation specifies a global field strength B _DCF and a distribution of local DCF estimates. The “most-likely” DCF field strength B _ml is the distribution mode, for which a correction factor β _ml ≡ B _ml / B _DCF is calculated analytically. For each equation, β _ml < 1, indicating that B _DCF is a biased estimator of B _ml . The values of β _ml are β _ml ≈ 0.7 when ${B}_{\mathrm{DCF}}\propto {\sigma }_{\theta }^{-1}$ due to turbulent excitation of Alfvénic MHD waves, and β _ml ≈ 0.9 when ${B}_{\mathrm{DCF}}\propto {\sigma }_{\theta }^{-1/2}$ due to non-Alfvénic MHD waves. These statistical correction factors β _ml have partial agreement with correction factors ${\beta }_{\mathrm{sim}}$ obtained from MHD simulations. The relative importance of the statistical correction is estimated by assuming that each simulation correction has both a statistical and a physical component. Then the standard, structure function, and original DCF equations appear most accurate because they require the least physical correction. Their relative physical correction factors are 0.1, 0.3, and 0.4 on a scale from 0 to 1. In contrast, the large-angle and parallel- δ B equations have physical correction factors 0.6 and 0.7. These results may be useful in selecting DCF equations, within model limitations.https://doi.org/10.3847/1538-4357/ad1596Interstellar magnetic fieldsStar formation
spellingShingle Philip C. Myers
Ian W. Stephens
Simon Coudé
Most-likely DCF Estimates of Magnetic Field Strength
The Astrophysical Journal
Interstellar magnetic fields
Star formation
title Most-likely DCF Estimates of Magnetic Field Strength
title_full Most-likely DCF Estimates of Magnetic Field Strength
title_fullStr Most-likely DCF Estimates of Magnetic Field Strength
title_full_unstemmed Most-likely DCF Estimates of Magnetic Field Strength
title_short Most-likely DCF Estimates of Magnetic Field Strength
title_sort most likely dcf estimates of magnetic field strength
topic Interstellar magnetic fields
Star formation
url https://doi.org/10.3847/1538-4357/ad1596
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