Metadata-Version: 2.1
Name: PPDyn
Version: 1.0.4
Summary: A python package to simulate plasma particles using Molecular Dynamics Algorithm.
Home-page: https://github.com/sayanadhikari/PPDyn
Author: Sayan Adhikari
Author-email: sayanadhikari207@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/sayanadhikari/PPDyn/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: ini-parser
Requires-Dist: numba
Requires-Dist: h5py
Requires-Dist: matplotlib

# PPDyn (Plasma Particle Dynamics)
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A python code to simulate plasma particles using Molecular Dynamics Algorithm. [Numba JIT compiler](https://numba.pydata.org/) for Python has been implemented for faster performance.

A detailed documentation can be found at https://ppdyn.readthedocs.io/.

<!-- <video src="assets/videos/Plasma Particle Dynamics using Molecular Dynamics Method.mp4" poster="assets/images/ppdyn_poster.png" width="320" height="200" controls preload></video> -->

Example:
<!--[![PPDyn Example]()](https://user-images.githubusercontent.com/11753189/114286735-b5f26900-9a61-11eb-86ba-76ee295d6448.mp4)-->


[![PPDyn Example](http://img.youtube.com/vi/qvQRUX-rSrQ/0.jpg)](https://www.youtube.com/embed/qvQRUX-rSrQ)


## Problem
<!--Rayleigh Problem = gas between 2 plates ([Alexander & Garcia, 1997](https://doi.org/10.1063/1.168619)) -->

## Contributors
- [Sayan Adhikari](https://github.com/sayanadhikari), UiO, Norway. [@sayanadhikari](https://twitter.com/sayanadhikari)
- [Rupak Mukherjee](https://github.com/RupakMukherjee), PPPL, USA.

## Installation
### Prerequisites
1. [GNU Make](https://www.gnu.org/software/make/)
2. [python3 or higher](https://www.python.org/download/releases/3.0/)
3. [git](https://git-scm.com/)

### Procedure
#### Using PyPI
```bash
pip install PPDyn
```
*Usage*

Download the input template to your working directory
```shell
wget https://raw.githubusercontent.com/sayanadhikari/PPDyn/main/input.ini
```
Now, either create a python script in your working directory or use your python console
```python
from PPDyn import ppdyn
from PPDyn.ppdplot import animate
import time

start = time.time()
ppdyn(input)
end = time.time()
print("Elapsed (after compilation) = %s"%(end - start)+" seconds")
animate()
```
#### Using GNU Make
First make a clone of the master branch using the following command
```shell
git clone https://github.com/sayanadhikari/PPDyn.git
```
Then enter inside the *PPDyn* directory
```shell
cd PPDyn
```
Now complile and built the *PPDyn* code
```shell
make all
```
*Usage*

Upon successful compilation, run the code using following command
```shell
ppdyn -i input.ini
```
## Parameter Setup
Edit the _input.ini_ and run the code again. The basic structure of _input.ini_ is provided below,
```ini
;
; @file		input.ini
; @brief	PPDyn inputfile.
;
scope = default

[simbox]
Lx  = 10.0    ; System length in X
Ly  = 10.0    ; System length in Y
Lz  = 10.0    ; System length in Z

[particles]
N     = 700     ; Number of particles
Vxmax = 1.0     ; Maximum velocity in X
Vymax = 1.0     ; Maximum velocity in Y
Vzmax = 1.0     ; Maximum velocity in Z
Temp  = 0.01   ;

[screening]
k = 1.0

[boundary]
btype = reflecting ; Type of boundary Options: periodic, reflecting

[time]
tmax  = 1000.0    ; Final time
dt    = 0.010   ; time step size

[diagnostics]
dumpPeriod  = 50    ; Data dump period
dumpData    = True
vtkData     = False

[options]
parallelMode  = True  ;set to false to disable parallel
```
## Visualization
For visualization, user either can use the python scripts available inside ``scripts`` directory or can write their own. After successful run the data will be available under ``data`` directory. Two different data formats are available at present. The complete dataset will available under the name particle.hdf5. For vtk visualization users can use ``.vtu`` files inside ``data/vtkdata``. [Paraview](https://www.paraview.org/) can be used to animate particle dynamics very easily. A sample video can be found [here](https://www.youtube.com/embed/qvQRUX-rSrQ).


## Contributing
We welcome contributions to this project.

1. Fork it.
2. Create your feature branch (```git checkout -b my-new-feature```).
3. Commit your changes (```git commit -am 'Add some feature'```).
4. Push to the branch (```git push origin my-new-feature```).
5. Create new Pull Request.

## License
Released under the [MIT license](LICENSE).


