The Davis-Chandrasekhar-Fermi Method Revisited
arXiv:2205.09134 · doi:10.1093/mnras/stac1417
Abstract
Despite the rich observational results on interstellar magnetic fields in star-forming regions, it is still unclear how dynamically significant the magnetic fields are at varying physical scales, because direct measurement of the field strength is observationally difficult. The Davis-Chandrasekhar-Fermi (DCF) method has been the most commonly used method to estimate the magnetic field strength from polarization data. It is based on the assumption that gas turbulent motion is the driving source of field distortion via linear Alfvén waves. In this work, using MHD simulations of star-forming clouds, we test the validity of the assumption underlying the DCF method by examining its accuracy in the real 3D space. Our results suggest that the DCF relation between turbulent kinetic energy and magnetic energy fluctuation should be treated as a statistical result instead of a local property. We then develop and investigate several modifications to the original DCF method using synthetic observations, and propose new recipes to improve the accuracy of DCF-derived magnetic field strength. We further note that the biggest uncertainty in the DCF analysis may come from the linewidth measurement instead of the polarization observation, especially since the line-of-sight gas velocity can be used to estimate the gas volume density, another critical parameter in the DCF method.
20 pages, 17 figures, accepted for publication in MNRAS
References in corpus (17)
- Theory of Star Formation
- The Critical Density and the Effective Excitation Density of Commonly Observed Molecular Dense Gas Tracers
- Planck intermediate results. XIX. An overview of the polarized thermal emission from Galactic dust
- Tracing Magnetic Fields with Aligned Grains
- Magnetic Fields in the Formation of Sun-Like Stars
- Magnetic Fields in Dark Cloud Cores: Arecibo OH Zeeman Observations
- Magnetic Fields in High-Mass Infrared Dark Clouds
- Studies of regular and random magnetic fields in the ISM: statistics of polarization vectors and the Chandrasekhar-Fermi technique
- The JCMT BISTRO Survey: The magnetic field strength in the Orion A filament
- Spatially Resolved Magnetic Field Structure in the Disk of a T Tauri Star
- Formation of Magnetized Prestellar Cores with Ambipolar Diffusion and Turbulence
- High-accuracy estimation of magnetic field strength in the interstellar medium from dust polarization
- Calibrating the Davis-Chandrasekhar-Fermi method with numerical simulations: uncertainties in estimating the magnetic field strength from statistics of field orientations
- CARMA Large Area Star Formation Survey: Project Overview with Analysis of Dense Gas Structure and Kinematics in Barnard 1
- Mapping the magnetic field in the Taurus/B211 filamentary cloud with SOFIA HAWC+ and comparing with simulation
- Modeling Dust Polarization Observations of Molecular Clouds through MHD Simulations
- Characterising the Magnetic Fields of Nearby Molecular Clouds using Submillimeter Polarization Observations
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- Increasing mass-to-flux ratio from the dense core to the protostellar envelope around the Class 0 protostar HH 211
- Atacama Large Aperture Submillimeter Telescope (AtLAST) Science: Our Galaxy
- Relative alignment between gas structures and magnetic field in Orion A at different scales using different molecular gas tracers
- A Survey of Deuterated Ammonia in the Cepheus Star-Forming Region L1251
- A Tale of Three: Magnetic Fields along the Orion Integral-Shaped Filament as Revealed by JCMT BISTRO survey
- Obtaining strength of magnetic field from E and B modes of dust polarization
- Modeling the Far-Infrared Polarization Spectrum of a High-Mass Star Forming Cloud