TL;DR
This paper introduces a rapid analytic model for predicting kilonova light curves from neutron star mergers, enabling constraints on the neutron star equation of state through gravitational wave and electromagnetic observations.
Contribution
The authors develop and validate a new analytic framework integrated into MOSFiT for quick kilonova light curve predictions based on GW data, providing tight constraints on neutron star properties.
Findings
Bayes factor strongly favors an additional luminosity source in GW170817.
Derived the binary mass ratio as q=0.92±0.07.
Placed tight constraints on the maximum neutron star mass, M_TOV=2.17^{+0.08}_{-0.11} M_sun.
Abstract
We present a rapid analytic framework for predicting kilonova light curves following neutron star (NS) mergers, where the main input parameters are binary-based properties measurable by gravitational wave detectors (chirp mass and mass ratio, orbital inclination) and properties dependent on the nuclear equation of state (tidal deformability, maximum NS mass). This enables synthesis of a kilonova sample for any NS source population, or determination of the observing depth needed to detect a live kilonova given gravitational wave source parameters in low latency. We validate this code, implemented in the public MOSFiT package, by fitting it to GW170817. A Bayes factor analysis overwhelmingly () favours the inclusion of an additional luminosity source in addition to lanthanide-poor dynamical ejecta during the first day. This is well fit by a shock-heated cocoon model, though…
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