Metadata-Version: 2.4
Name: pyPebble
Version: 0.0.0
Summary: Multi purpose N-body sim
Author: Connor Crawford
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENCE.txt
Dynamic: license-file

# PyPebble: An N-Body Simulation Toolkit

PyPebble is a Python model to handle N-body problems, specifically geared towards gravitational simulations (with more features planned for the future). This code is still under development.
Currently, inputs and outputs are configured in the following units:
- Distance: parsecs (pc)
- Mass: solar masses (M☉)
- Time: megayears (Myr)

Future versions aim to support more flexible unit selection.

------------------------------------------------------------

## Installation

Using pip:
```bash
pip install pyPebble
```
Clone this repository and install manually:
```bash
git clone https://github.com/your-username/pypebble.git
cd pypebble
pip install -r requirements.txt
pip install -e .
```
------------------------------------------------------------

## Usage

### Creating a System
You can define the properties of particles directly by passing arrays of positions, velocities, and masses:

from pypebble import Bodies
```python
system = Bodies(positions, velocities, masses)
```
Alternatively, you can create a disc of particles using the built-in generator:
```python
system = Bodies().create_disc(
    n_particles=100,
    r_max=10,
    center=[0, 0, 0],
    ang_vel=0.05,
    v_sigma=None,
    total_mass=None,
    particle_mass=None,
    distribution="uniform"
)
```
### Setting up the Simulation
With a system defined, initialize the simulation using setup:
```python
simulation = system.setup(
    softening=1e-2,
    bounds=20,
    smooth_len=10,
    t_start=0,
    t_finish=50,
    nsteps=1000,
    Enable_GPU=True,
    save_output=None
)
```
### Running the Simulation
Run with:
```python
simulation.run()
```
The simulation currently saves output data (time, position, velocity, and mass) to an .h5 file.
Future improvements will include better ways to run and visualize simulations.

------------------------------------------------------------

## Roadmap
- Support for multiple unit systems
- Additional initial condition generators (e.g., clusters, binary systems)
- General Optimisations
- Visualization improvements

------------------------------------------------------------

## License
MIT License.

