Simulation-based inference with a Gaussian process emulator trained on ~1300 POSSIS simulations enables rapid, robust kilonova parameter estimation that avoids MCMC biases from likelihood misspecification.
and Fryer, Christopher L
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A conditional variational autoencoder is trained on public kilonova light curves to enable rapid parameter inference for binary neutron star merger models in under three hours total.
Non-detection of kilonova from S250206dm excludes AT 2017gfo-like events and disfavors NS-BH mergers with mass ratio Q >= 3.2, reaching GW-comparable precision on the mass gap candidate.
Kilonova-like emissions after long GRBs GRB211211A and GRB230307A are consistent with collapsar nucleosynthesis using a single weak r-process component without lanthanide-rich material.
citing papers explorer
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Rapid and robust simulation-based inference for kilonovae
Simulation-based inference with a Gaussian process emulator trained on ~1300 POSSIS simulations enables rapid, robust kilonova parameter estimation that avoids MCMC biases from likelihood misspecification.
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Precise and Rapid Parameter Inference of Kilonova with Conditional Variational Autoencoder
A conditional variational autoencoder is trained on public kilonova light curves to enable rapid parameter inference for binary neutron star merger models in under three hours total.
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Illuminating the Mass Gap Through Deep Optical Constraint on a Neutron Star Merger Candidate S250206dm
Non-detection of kilonova from S250206dm excludes AT 2017gfo-like events and disfavors NS-BH mergers with mass ratio Q >= 3.2, reaching GW-comparable precision on the mass gap candidate.
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Kilonovae and Long-duration Gamma-ray Bursts
Kilonova-like emissions after long GRBs GRB211211A and GRB230307A are consistent with collapsar nucleosynthesis using a single weak r-process component without lanthanide-rich material.