A neural network is trained to predict probabilities for lower mass gap components and neutron star involvement in gravitational-wave candidates, with reported mean errors of 9% and 6% on O4a events.
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Training a neural network to rapidly identify candidate gravitational-wave events in the lower mass gap
A neural network is trained to predict probabilities for lower mass gap components and neutron star involvement in gravitational-wave candidates, with reported mean errors of 9% and 6% on O4a events.