Filamentary Network and Magnetic Field Structures Revealed with BISTRO in the High-Mass Star-Forming Region NGC2264 : Global Properties and Local Magnetogravitational Configurations
The Astrophysical Journal(2024)
摘要
We report 850 μm continuum polarization observations toward the
filamentary high-mass star-forming region NGC 2264, taken as part of the
B-fields In STar forming Regions Observations (BISTRO) large program on the
James Clerk Maxwell Telescope (JCMT). These data reveal a well-structured
non-uniform magnetic field in the NGC 2264C and 2264D regions with a prevailing
orientation around 30 deg from north to east. Field strengths estimates and a
virial analysis for the major clumps indicate that NGC 2264C is globally
dominated by gravity while in 2264D magnetic, gravitational, and kinetic
energies are roughly balanced. We present an analysis scheme that utilizes the
locally resolved magnetic field structures, together with the locally measured
gravitational vector field and the extracted filamentary network. From this, we
infer statistical trends showing that this network consists of two main groups
of filaments oriented approximately perpendicular to one another. Additionally,
gravity shows one dominating converging direction that is roughly perpendicular
to one of the filament orientations, which is suggestive of mass accretion
along this direction. Beyond these statistical trends, we identify two types of
filaments. The type-I filament is perpendicular to the magnetic field with
local gravity transitioning from parallel to perpendicular to the magnetic
field from the outside to the filament ridge. The type-II filament is parallel
to the magnetic field and local gravity. We interpret these two types of
filaments as originating from the competition between radial collapsing, driven
by filament self-gravity, and the longitudinal collapsing, driven by the
region's global gravity.
更多查看译文
关键词
Collapsing clouds,Interstellar filaments,Molecular clouds,Interstellar magnetic fields,Interstellar medium,Polarimetry
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要