研究目的
To characterise the dust emission properties and the variations of the polarisation fraction in the dense filamentary cloud G035.39-00.33, and to examine how observed polarisation angles and fractions depend on potential magnetic field geometries and grain alignment processes.
研究成果
The G035.39-00.33 filament exhibits high column densities and low dust temperatures, with dust opacity ratios significantly higher than in diffuse media. Polarisation fraction decreases with column density, suggesting dust evolution and potential loss of grain alignment in dense regions. Observations are consistent with models assuming complete loss of alignment at high densities, but uncertainties in field geometry and data filtering preclude definitive conclusions.
研究不足
Spatial filtering in SCUBA-2 data removes extended emission, affecting the fidelity of structures. Noise in POL-2 data limits reliable polarisation fraction estimates to higher column densities. Uncertainties in magnetic field geometry and grain properties prevent strong conclusions on grain alignment mechanisms. The study is focused on a single filament, limiting generalizability.
1:Experimental Design and Method Selection:
Combined JCMT SCUBA-2/POL-2 observations at 850 μm with Planck 850 μm data to map polarisation fraction at small and large scales. Used modified black-body fits and radiative transfer modelling to determine column densities from total intensity SCUBA-2 and Herschel data. Constructed models to test magnetic field geometries and grain alignment processes.
2:Sample Selection and Data Sources:
Observations of the IRDC G035.39-00.33, including JCMT SCUBA-2/POL-2 data, Planck data, Herschel SPIRE and PACS data, and extinction data from Kainulainen & Tan (2013).
3:39-33, including JCMT SCUBA-2/POL-2 data, Planck data, Herschel SPIRE and PACS data, and extinction data from Kainulainen & Tan (2013).
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: James Clerk Maxwell Telescope (JCMT) with SCUBA-2 and POL-2 instruments, Planck satellite, Herschel Space Observatory with SPIRE and PACS instruments, and other telescopes for supplementary data (e.g., WISE, Spitzer).
4:Experimental Procedures and Operational Workflow:
Data reduction using pol2map routine of Starlink SMURF package, convolution to common resolutions, background subtraction, MBB fits, radiative transfer calculations with SOC code, and analysis of polarisation quantities using bias-corrected estimators.
5:Data Analysis Methods:
Statistical analysis including weighted least squares, Markov chain Monte Carlo methods, bootstrapping for error estimation, and simulations to account for noise and biases in polarisation measurements.
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