A uniquely JWST-dark radio source detected from 144 MHz to 3 GHz but undetected in all available optical, infrared, X-ray, and submillimeter imaging, potentially representing an extremely dust-obscured radio-loud galaxy at cosmic dawn or a detached radio lobe.
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Machine learning can address data contamination, accelerate modeling, and aid inference in 21 cm cosmology when it preserves physical structure and uncertainty rather than acting as an opaque replacement.
citing papers explorer
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Something Bright at the Edge of Everything: A Uniquely JWST-Dark Radio Source in COSMOS
A uniquely JWST-dark radio source detected from 144 MHz to 3 GHz but undetected in all available optical, infrared, X-ray, and submillimeter imaging, potentially representing an extremely dust-obscured radio-loud galaxy at cosmic dawn or a detached radio lobe.
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Application of Machine Learning to 21 cm Cosmology
Machine learning can address data contamination, accelerate modeling, and aid inference in 21 cm cosmology when it preserves physical structure and uncertainty rather than acting as an opaque replacement.