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.
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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
Simulations of an NGC 300-like galaxy find exponential distributions of feedback-driven bubble lifetimes and sizes that increase with galactocentric radius, plus matching Hα predictions.
citing papers explorer
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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.
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Unmasking Stellar Feedback-Driven Bubbles: Identification and Properties Analysis
Simulations of an NGC 300-like galaxy find exponential distributions of feedback-driven bubble lifetimes and sizes that increase with galactocentric radius, plus matching Hα predictions.