2020
DOI: 10.48550/arxiv.2001.11299
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Simulating Kilonovae in the ΛCDM Universe

Zhen Jiang,
Jie Wang,
Fenghui Zhang
et al.

Abstract: Kilonovae are optical flashes produced in the aftermath of neutron star-neutron star mergers (NNMs) or neutron star-black hole mergers (NBMs). The multi-messager observation of the recent gravitational wave event GW170817 confirms that it originated from a NNM and triggered a kilonova. In this work, we use the Millennium Simulation, combined with a semianalytic galaxy formation model-GABE (Galaxy Assembly with Binary Evolution) which adopts binary stellar population synthesis models, to explore the cosmic even… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 94 publications
(129 reference statements)
0
1
0
Order By: Relevance
“…A possible approach to tackle this problem is to combine galaxy formation models with binary population synthesis simulations. This methodology has been implemented in several works using semi-analytical models or cosmological simulations together with population synthesis models (see e.g., O'Shaughnessy et al 2010O'Shaughnessy et al , 2017Dvorkin et al 2016;Lamberts et al 2016;Mapelli et al 2017;Schneider et al 2017;Cao et al 2018;Artale et al , 2020Marassi et al 2019;Boco et al 2019;Conselice et al 2019;Eldridge et al 2019;Mapelli et al 2019;Toffano et al 2019;Adhikari et al 2020;Jiang et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…A possible approach to tackle this problem is to combine galaxy formation models with binary population synthesis simulations. This methodology has been implemented in several works using semi-analytical models or cosmological simulations together with population synthesis models (see e.g., O'Shaughnessy et al 2010O'Shaughnessy et al , 2017Dvorkin et al 2016;Lamberts et al 2016;Mapelli et al 2017;Schneider et al 2017;Cao et al 2018;Artale et al , 2020Marassi et al 2019;Boco et al 2019;Conselice et al 2019;Eldridge et al 2019;Mapelli et al 2019;Toffano et al 2019;Adhikari et al 2020;Jiang et al 2020).…”
Section: Introductionmentioning
confidence: 99%