Multi purpose N-body sim
Project description
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:
pip install pyPebble
Clone this repository and install manually:
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
system = Bodies(positions, velocities, masses)
Alternatively, you can create a disc of particles using the built-in generator:
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:
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:
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pypebble-0.0.0.tar.gz.
File metadata
- Download URL: pypebble-0.0.0.tar.gz
- Upload date:
- Size: 5.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0bd795d2290849b6f658cb5c9ee6184c8fdf46e46065005cee30dde1bdcf9667
|
|
| MD5 |
b728cc6d08c8dda65eb612f7f3d26bb7
|
|
| BLAKE2b-256 |
0fcf6fc9ecca48e34498ad473dce135050a2847a9916723ab18ca0656e0a371d
|
File details
Details for the file pypebble-0.0.0-py3-none-any.whl.
File metadata
- Download URL: pypebble-0.0.0-py3-none-any.whl
- Upload date:
- Size: 5.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
24d43911994cb76bd07f678df485f6dce3929e90d4ee85d941dc58525dcf6b8e
|
|
| MD5 |
15b8781c114d6d4c442f6d560fd7e9d2
|
|
| BLAKE2b-256 |
dbf0f7370e09b6d8bd7e4decede7f5a095ab591dd80910d1929561443be11cb4
|