Surrogate light curve models for kilonovae with comprehensive wind ejecta outflows and parameter estimation for AT2017gfo

Abstract

The electromagnetic emission resulting from neutron star mergers have been shown to encode properties of the ejected material in their light curves. The ejecta properties inferred from the kilonova emission has been in tension with those calculated based on the gravitational wave signal and numerical relativity models. Motivated by this tension, we construct a broad set of surrogate light curve models derived for kilonova ejecta. The four-parameter family of two-dimensional anisotropic simulations and its associated surrogate explore different assumptions about the wind outflow morphology and outflow composition, keeping the dynamical ejecta component consistent. We present the capabilities of these surrogate models in interpolating kilonova light curves across various ejecta parameters and perform parameter estimation for AT2017gfo both without any assumptions on the outflow and under the assumption that the outflow must be representative of solar r-process abundance patterns. Our parameter estimation for AT2017gfo shows these surrogate models help alleviate the ejecta property discrepancy while also illustrating the impact of systematic modeling uncertainties on these properties, urging further investigation.

15 pages, 6 figures, data available in Zenodo (https://zenodo.org/record/7335961) and GitHub (https://github.com/markoris/surrogate_kne)

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Cited by in corpus (8)

• General-Relativistic Hydrodynamics Simulation of a Neutron Star - Sub-Solar-Mass Black Hole Merger
• Inference of multi-channel r-process element enrichment in the Milky Way using binary neutron star merger observations
• KilonovAE: Exploring Kilonova Spectral Features with Autoencoders
• Kilonova Light-Curve Interpolation with Neural Networks
• Interpolated kilonova spectra models: necessity for a phenomenological, blue component in the fitting of AT2017gfo spectra
• Magnetic Field Strength Effects on Nucleosynthesis from Neutron Star Merger Outflows
• Kilonova Light Curve Parameter Estimation Using Likelihood-Free Inference
• Illuminating the Mass Gap Through Deep Optical Constraint on a Neutron Star Merger Candidate S250206dm