A simulation-based inference method with Gaussian process emulators trained on 1300 kilonova simulations recovers parameters accurately and rapidly while avoiding MCMC biases from likelihood misspecification.
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Multi-shell modeling shows outward 56Ni mixing produces faster brighter rises and biases one-zone fits to lower ejecta mass and higher nickel fraction, while r-process signatures in collapsars depend on placement, distribution, and viewing angle rather than always showing NIR excess.
SN2025ulz is a type IIb supernova whose shock-cooling tail mimicked a kilonova, demonstrating a key contaminant for gravitational-wave counterpart searches.
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Rapid and robust simulation-based inference for kilonovae
A simulation-based inference method with Gaussian process emulators trained on 1300 kilonova simulations recovers parameters accurately and rapidly while avoiding MCMC biases from likelihood misspecification.