Magnetic fields in the close neighbourhood of LDN 328 core
Bibliographic record
Abstract
ABSTRACT Linearly polarized dust emission traces the plane-of-sky magnetic field structure, thus allowing us to investigate the role of magnetic fields in the formation and evolution of cloud cores. In this work, we present observations of dust polarization at 850 $\mu$m wavelength towards the LDN 328 (hereafter L328) core and its neighbourhood regions, classified as R1, R2, and R3, using the James Clerk Maxwell Telescope (JCMT) with SCUBA-2 (Submillimetre Common User Bolometer Array 2)/POL-2. This study extends our previous work on magnetic fields in L328 across different spatial scales. We used the JCMT/POL-2 data in the near vicinity of the L328 core to study the magnetic fields in its nearby regions. We identified clumps in these regions using the ‘FellWalker’ algorithm and derived the dust temperature and column density by fitting the spectral energy distribution using combined JCMT and Herschel dust continuum maps. We analysed the magnetic field morphology in the vicinity of the L328 core and employed the structure function analysis to determine the magnetic field dispersion angle. We used the modified Davis–Chandrasekhar–Fermi method to estimate magnetic field strengths and also derived the mass-to-flux ratio and Alfvén Mach number.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".