You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
# Sledgehamr: Simulating scalar fields with adaptive mesh refinement
2
4
Sledgehamr (**S**ca**L**ar fi**E**ld **D**ynamics **G**etting solv**E**d wit**H****A**daptive **M**esh **R**efinement) is an AMReX-based code to simulate the dynamics of coupled scalar fields on a 3-dimensional mesh. Adaptive mesh refinement (AMR) can boost performance if spatially localized regions of the scalar field require high resolution. Compatible with both GPU and CPU clusters, sledgehamr offers a flexible and customizable framework. This framework enables various applications, such as the generation of gravitational wave spectra.
Sledgehamr comes with a few different physics scenarios already implemented such as axion strings and a first-order phase transition of a single scalar field + gravitational waves, as well as two example projects ```MinimalExample``` and ```NextToMinimalExample```. The accompanying paper describes in detail how other scenarios can be implemented.
23
-
24
23
### Running the minimal examples
25
24
The minimal examples can be run by following the instructions in the Jupyter notebooks ```notebooks/MinimalExample.ipynb``` and ```notebooks/NextToMinimalExample.ipynb```.
26
25
26
+
### Create a project
27
+
Sledgehamr comes with a few different physics scenarios already implemented such as axion strings and a first-order phase transition of a single scalar field + gravitational waves, as well as two example projects ```MinimalExample``` and ```NextToMinimalExample```. The accompanying paper describes in detail how other scenarios can be implemented.
28
+
27
29
## Code documentation
28
30
*https://msabuschmann.github.io/sledgehamr/
29
-
*https://arxiv.org/abs/23xx.xxxxx
31
+
*https://arxiv.org/abs/2404.02950
30
32
31
33
## How to cite
32
34
If you use sledgehamr, please cite its accompanying paper:
0 commit comments