Simple N-body code for Python

# GravHopper

"They told me computers could only do arithmetic." -- Grace Hopper

Gravitational N-body simulation code written by Jeremy Bailin.

Named in honour of pioneering computer scientist Grace Hopper. Doubly appropriate because it uses a leapfrog integrator.

This is a simple Python-interface code for performing gravitational N-body simulations. It combines a simple Python interface for ease of use with a C backend for speed, and has the following features:

• Choice of Barnes-Hut tree or direct summation algorithm.
• Ability to include external potentials from galpy, gala, or user-supplied functions.
• Ability to return output as pynbody snapshots.
• Functions that generate equilibrium or near-equilibrium initial conditions (ICs) for several density profiles (Plummer, Hernquist, exponential disk), along with the ability to create ICs from galpy distribution function objects or pynbody snapshots.
• Utility functions for plotting snapshots and making movies.

For now, it uses a constant uniform timestep and constant uniform softening length.

Requirements:

• Astropy
• NumPy, SciPy, Matplotlib
• C compiler
• To use galpy, gala, or pynbody interface functions, they will need to be installed.
• Saving movies requires ffmpeg.

For example, this will create a Plummer sphere with 2000 particles, run it for a few dynamical times, and plot the particle positions before and after to show that it is in equilibrium:

from gravhopper import Simulation, IC
from astropy import units as u
import matplotlib.pyplot as plt

# Create Plummer initial conditions.
Plummer_IC = IC.Plummer(N=2000, b=1*u.pc, totmass=1e6*u.Msun)

# Create a new simulation with a time step of 0.005 Myr and a softening of 0.05 pc.
sim = Simulation(dt=0.005*u.Myr, eps=0.05*u.pc)
# Add the Plummer model to the simulation
# Run for 400 time steps
sim.run(400)

# Plot the x-y positions at the beginning and end.
fig = plt.figure(figsize=(12,4))
sim.plot_particles(snap='IC', unit=u.pc, xlim=[-10,10], ylim=[-10,10], ax=ax1)
sim.plot_particles(snap='final', unit=u.pc, xlim=[-10,10], ylim=[-10,10], ax=ax2)


## Installation

The code does not yet fully incorporate setuptools, so for now you will need to manually place the package in a subdirectory of the code that uses it. Fixing this is high on the priority list! Until then:

    git clone https://github.com/jbailinua/gravhopper.git

1. Go into the gravhopper directory and build the code.
    cd gravhopper
python setup.py build_ext --inplace

1. Copy the gravhopper subdirectory to wherever you want to use it.

## Project details

Uploaded Source
Uploaded CPython 3.7m macOS 10.7+ x86-64