2019
DOI: 10.5281/zenodo.3522086
|View full text |Cite
|
Sign up to set email alerts
|

The Einstein Toolkit

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
15
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
5
4

Relationship

3
6

Authors

Journals

citations
Cited by 19 publications
(15 citation statements)
references
References 0 publications
0
15
0
Order By: Relevance
“…Computational setup.-We simulate the long-term evolution of a typical post-merger accretion disk with the GRMHD code described in [34]. It represents an evolved version of GRHydro [35] and makes use of the Einstein Toolkit [36] [37][38][39][40][41]. We use the SFHo equation of state [42] as tabulated in Ref.…”
mentioning
confidence: 99%
“…Computational setup.-We simulate the long-term evolution of a typical post-merger accretion disk with the GRMHD code described in [34]. It represents an evolved version of GRHydro [35] and makes use of the Einstein Toolkit [36] [37][38][39][40][41]. We use the SFHo equation of state [42] as tabulated in Ref.…”
mentioning
confidence: 99%
“…The (1+log) and Gamma-driver gauge conditions are adopted for the evolution of lapse and shift (Alcubierre 2008;Baiotti & Rezzolla 2017). We use the M L code (Brown et al 2009) for evolution of spacetime variables which is a publicly available code in the E -T (Babiuc-Hamilton et al 2019;Goodale et al 2003;Schnetter et al 2006Schnetter et al , 2004…”
Section: Dynamical Evolutionmentioning
confidence: 99%
“…where N and β i are the lapse function and shift vector respectively. The resulting system is numerically evolved using the Einstein Toolkit infrastructure [30][31][32] with Carpet [33,34] for mesh-refinement capabilities and the multipatch infrastructure Llama [35]. The scalar field equations are evolved in time by adapting the ScalarEvolve code available in [36], which was first used and described in [37].…”
Section: A Numerical Implementationmentioning
confidence: 99%