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README

This is an n-body simulation using a Barnes-Hut tree algorithm. Number crunching code is written in C++, leveraging OpenMP and SSE/AVX instructions for high performance. This is then called in Python via Cython and visualized using pyqtgraph. On an Intel i7-6700K one million particles can be simulated at more than one timestep per second.

merger

Requirements

You need python 3.x with the following packages:

Cython
numpy
pandas
PyOpenGL
PyOpenGL-accelerate
PyQt5
pyqtgraph
h5py

I suggest installing virtualenv & virtualenvwrapper, so you don't clutter your system python installation with additional packages.

How do I set it up?

Clone the git repository

git clone [email protected]:yboetz/nbody_bhtree.git

Then install the required python packages (best in your virtualenv)

cd nbody_bhtree
pip install -r requirements.txt

Compile the C++ code with

make build

Finally start the widget

python src/main.py

Key controls

Basic controls:

  • S - starts/stops the simulation
  • N - toggles colors of particles
  • L - toggles between dots and lines for particles
  • O - opens a window to load another data file
  • F - fullscreen
  • G - show cube
  • B - show full octree
  • P - cont. pan aroung center
  • Esc - close widget

Moving around:

  • Click & drag - rotate around center
  • Wheel or shift & drag - zoom in/out
  • Ctrl & drag - pan around
  • Q - recenter to center of mass

Simulation controls:

  • R - plot the energy and angular momentum evolution
  • E - print the energy and angular momentum to terminal
  • C - print the center of mass to terminal
  • T - evolve system a certain number of timesteps. Print duration and difference in energy and angular momentum to terminal