Linking Analytic Light Curve Models to Physical Properties of Kilonovae
Ayari Kitamura, Kyohei Kawaguchi, Masaomi Tanaka, Sho Fujibayashi

TL;DR
This study uses realistic simulations to evaluate how analytic light curve models interpret kilonova ejecta properties, revealing potential misinterpretations and emphasizing the importance of multi-epoch infrared observations for accurate mass estimates.
Contribution
It demonstrates that analytic models may misrepresent the true ejecta configuration and highlights the role of post-merger ejecta in both red and blue emissions.
Findings
Analytic models often infer incorrect ejecta parameters compared to simulations.
Post-merger ejecta significantly contributes to both red and blue kilonova emissions.
Total ejecta mass estimates are robust within a factor of a few.
Abstract
In binary neutron star mergers, lanthanide-rich dynamical ejecta and lanthanide-poor post-merger ejecta have been often linked to the red and blue kilonova emission, respectively. However, analytic light curve modeling of kilonova often results in the ejecta parameters that are at odds with such expectations. To investigate the physical meaning of the derived parameters, we perform analytic modeling of the kilonova light curves calculated with realistic multi-dimensional radiative transfer based on the numerical relativity simulations. Our fiducial simulations adopt a faster-moving, less massive dynamical ejecta and slower-moving, more massive post-merger ejecta. The results of analytic modeling, however, show that the inferred ''red'' component is more massive and slower, while the ''blue'' component is less massive and faster, as also inferred for GW170817/AT2017gfo. This suggests…
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Taxonomy
TopicsLeaf Properties and Growth Measurement · Remote Sensing and Land Use
