Interpolating detailed simulations of kilonovae: Adaptive learning and parameter inference applications
Detailed radiative transfer simulations of kilonovae are difficult to apply directly to observations; they only sparsely cover simulation parameters, such as the mass, velocity, morphology, and composition of the ejecta. On the other hand, semianalytic models for kilonovae can be evaluated continuou...
Main Authors: | M. Ristic, E. Champion, R. O'Shaughnessy, R. Wollaeger, O. Korobkin, E. A. Chase, C. L. Fryer, A. L. Hungerford, C. J. Fontes |
---|---|
Format: | Article |
Language: | English |
Published: |
American Physical Society
2022-01-01
|
Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.4.013046 |
Similar Items
-
Interpolated kilonova spectra models: Examining the effects of a phenomenological, blue component in the fitting of AT2017gfo spectra
by: Marko Ristić, et al.
Published: (2023-11-01) -
The Effect of the Velocity Distribution on Kilonova Emission
by: Chris L. Fryer, et al.
Published: (2024-01-01) -
Surrogate light curve models for kilonovae with comprehensive wind ejecta outflows and parameter estimation for AT2017gfo
by: Atul Kedia, et al.
Published: (2023-03-01) -
Constraining Inputs to Realistic Kilonova Simulations through Comparison to Observed r-process Abundances
by: Marko Ristić, et al.
Published: (2023-01-01) -
Nucleosynthesis and Kilonovae from Strange Star Mergers
by: J. E. Horvath, et al.
Published: (2019-06-01)