Speaker
Description
Kilonovae are the optical counterparts to gravitational wave signals from binary neutron stars. Combining gravitational wave and kilonova observations provide insight into the equation of state of neutron stars. Kilonova detection is challenging and only a few kilonova candidates have been detected to date, with AT2017gfo being the only one associated with a gravitational wave event GW170817. This highlights the need for rapid kilonova predictions to inform follow-up observations for future gravitational wave events. In this work, we develop a probabilistic framework based on normalising flows to predict kilonova spectra and light curves directly from gravitational wave posterior samples of binary neutron star mergers. These outputs can then be used to inform optical and near-infrared follow-up kilonova observation strategies.