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VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks
Combined with other astronomical data, these images constrain the mass and spin of the hole as well as the accretion rate and magnetic flux trapped on the hole.
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements
We are motivated by the task of imaging the stochastically evolving environment surrounding black holes, and demonstrate how flow parameters can be estimated from sparse interferometric measurements used in radio astronomical imaging.
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