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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4 Pith papers cite this work. Polarity classification is still indexing.
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2026 4representative citing papers
Observational analysis of EMP stars including a new r-process enhanced star G256353 whose heavy-element pattern matches scaled solar and neutron-star-merger predictions, supporting r-process universality.
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.
LCO achieved rapid response and adequate depth for kilonovae to 250 Mpc in O3/O4 but the galaxy-targeted strategy was less efficient than expected because GW localizations exceeded prior assumptions.
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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The \emph{R}-process Alliance: A Bright, Strongly \emph{R}-process-enhanced Extremely Metal-poor Star Observed with GHOST
Observational analysis of EMP stars including a new r-process enhanced star G256353 whose heavy-element pattern matches scaled solar and neutron-star-merger predictions, supporting r-process universality.
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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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Las Cumbres Observatory Gravitational-Wave Follow-up in O3 and O4: Strengths and Weaknesses of a Rapid Response Galaxy Targeted Strategy
LCO achieved rapid response and adequate depth for kilonovae to 250 Mpc in O3/O4 but the galaxy-targeted strategy was less efficient than expected because GW localizations exceeded prior assumptions.