Accelerating Bayesian sampling for massive black hole binaries with prior constraints from conditional variational autoencoder
A conditional variational autoencoder estimates source-parameter distributions for massive-black-hole-binary observations by a space-based detector network. This study then uses the learned distributions to guide the prior range for conventional …