TL;DR
This paper presents a comprehensive grid of 2D kilonova emission models varying key ejecta parameters to better understand their impact on observable light curves and spectra, aiding interpretation of neutron star merger events.
Contribution
It introduces a large, systematic set of 900 2D kilonova models with varied ejecta properties, enabling detailed analysis of their effects on emission characteristics.
Findings
Model trends reveal how ejecta mass and velocity influence light curves.
Comparison with AT2017gfo shows the models can replicate observed kilonova features.
Parameter variations help interpret diverse neutron star merger observations.
Abstract
Depending upon the properties of their compact remnants and the physics included in the models, simulations of neutron star mergers can produce a broad range of ejecta properties. The characteristics of this ejecta, in turn, define the kilonova emission. To explore the effect of ejecta properties, we present a grid of 2-component 2D axisymmetric kilonova simulations that vary mass, velocity, morphology, and composition. The masses and velocities of each component vary, respectively, from 0.001 to 0.1 M and 0.05 to 0.3, covering much of the range of results from the neutron star merger literature. The set of 900 models is constrained to have a toroidal low electron fraction () ejecta with a robust r-process composition and either a spherical or lobed high- ejecta with two possible compositions. We simulate these models with the Monte Carlo radiative transfer code…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
