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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A review chapter groups machine learning methods for 21 cm cosmology by their pipeline roles in handling contaminated data, accelerating simulations, and inferring astrophysical parameters.
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
A review chapter groups machine learning methods for 21 cm cosmology by their pipeline roles in handling contaminated data, accelerating simulations, and inferring astrophysical parameters.