|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'501'711
Articles rated: 2609
20 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Modelling Populations of Kilonovae | | Christian N. Setzer
; Hiranya V. Peiris
; Oleg Korobkin
; Stephan Rosswog
; | | Date: |
24 May 2022 | | Abstract: | The 2017 detection of a kilonova coincident with gravitational-wave emission
has identified neutron star mergers as the major source of the heaviest
elements, and dramatically constrained alternative theories of gravity.
Observing a population of such sources has the potential to transform
cosmology, nuclear physics, and astrophysics. However, with only one confident
detection currently available, modelling the diversity of signals expected from
such a population requires improved theoretical understanding. In particular,
models which are quick to evaluate, and are calibrated with more detailed
multi-physics simulations, are needed to design observational strategies for
kilonovae detection, and to obtain rapid-response interpretations of new
observations. We use grey-opacity models to construct populations of kilonovae,
spanning ejecta parameters predicted by numerical simulations. Our modelling
focuses on wavelengths relevant for upcoming optical surveys, such as the Rubin
Observatory Legacy Survey of Space and Time (LSST). In these simulations, we
implement heating rates that are based on nuclear reaction network
calculations. We create a Gaussian-process emulator for kilonova grey
opacities, calibrated with detailed radiative transfer simulations. Using
recent fits to numerical relativity simulations, we predict how the ejecta
parameters from BNS mergers shape the population of kilonovae, accounting for
the viewing-angle dependence. Our simulated population of binary neutron star
(BNS) mergers produce peak i-band absolute magnitudes $-17 leq M_i leq -11$.
A comparison with detailed radiative transfer calculations indicates that
further improvements are needed to accurately reproduce spectral shapes over
the full light curve evolution. | | Source: | arXiv, 2205.12286 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER