A CNN trained on AREPO simulations and synthetic observations reverts edge-on 13CO spectral data to top-down views of the CMZ as a proof-of-concept for supervised reversion.
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3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
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astro-ph.GA 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
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.
MST analysis of CMZoom data finds mass segregation in 5 of 17 CMZ clouds, inverse segregation or none in the rest, and no clear link to evolutionary stage or star-formation activity.
citing papers explorer
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IRIS: Deciphering Spectral-Line Imagery of the Galactic Center by Machine-Learning on Simulations
A CNN trained on AREPO simulations and synthetic observations reverts edge-on 13CO spectral data to top-down views of the CMZ as a proof-of-concept for supervised reversion.
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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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Mass Segregation in the CMZoom Survey
MST analysis of CMZoom data finds mass segregation in 5 of 17 CMZ clouds, inverse segregation or none in the rest, and no clear link to evolutionary stage or star-formation activity.