Polarization observations reveal scale-dependent differences in magnetic field morphology between molecular clouds and clumps, a velocity-dispersion correlation, and unreliable field-strength estimates that contradict flux conservation.
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2 Pith papers cite this work. Polarity classification is still indexing.
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astro-ph.GA 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Deep learning identifies voids in NGC 628 with low association to known star clusters, supporting an evolutionary sequence from molecular clouds via stellar feedback to detached voids.
citing papers explorer
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Characterising magnetic fields at the onset of star cluster formation: From giant molecular clouds to infrared dark clumps
Polarization observations reveal scale-dependent differences in magnetic field morphology between molecular clouds and clumps, a velocity-dispersion correlation, and unreliable field-strength estimates that contradict flux conservation.
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Automated void identification by Blendmask: from hierarchical molecular gas to hierarchical voids in NGC 628
Deep learning identifies voids in NGC 628 with low association to known star clusters, supporting an evolutionary sequence from molecular clouds via stellar feedback to detached voids.