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Tree Algorithm For Gravity

Team Name

Happy Tree Friends

Collaborators

  • Meng-Yuan Ho (NTU)
  • Wei-An Chen (NTU)

Presentation

Happy tree

Introduction

In this project, we demonstrate a method to calculate the gravitational potential for N-body problem by building up an octree.

Requirement

  • GCC or any C++ compiler
  • OpenMP
  • Python3 (numpy, pytreegrav)

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Installation

git clone https://github.com/willsonho2000/111-2-CA_final.git

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Implementation

  1. First prepare your N particles' information, including position in (x, y, z), mass, and softenting. You can generate a random file using CreatePar.py.
python3 CreatePar.py Npar theta

where Npar is the number of particles and theta is the cell-opening criteria. Or, you can manually write a file (recommend: Particle.dat) in the following format.

Npar theta (first line)
pos_i[x] pos_i[y] pos_i[z] vel[x] vel[y] vel[z] mass_i softening_i

Example:

5 6.9999999999999996e-01 
8.3418945034164693e-01 3.4578865673568515e-01 5.3318914437914633e-01 -1.4892456335172388e-01 1.8642446499586351e-01 1.7642995050771193e-01 1.0000000000000000e-02 1.0000000000000000e-02
2.5739577825541171e-01 3.8865321100378047e-01 9.6849050947488047e-01 -8.9216643422320718e-03 1.5872282261062354e-01 -3.5179269862034235e-02 1.0000000000000000e-02 1.0000000000000000e-02
8.5648279277900918e-01 4.8043861303190716e-01 6.1264434494372688e-01 2.1333913747113697e-01 -1.6720246137579009e-01 -6.8057000867475403e-02 1.0000000000000000e-02 1.0000000000000000e-02
5.5746719784732779e-02 9.7598227534745652e-01 2.5970268980899947e-01 1.5212239525997318e-01 -1.0677190282585058e-01 1.5485664340995503e-01 1.0000000000000000e-02 1.0000000000000000e-02
5.4413433587357307e-01 1.5550535592805281e-01 2.6869243960931455e-01 -2.4509868726131129e-01 -1.7140646768390189e-01 -1.7696595983169527e-01 1.0000000000000000e-02 1.0000000000000000e-02
...

Note: The data should all be saved as double type.

Potential_tree_ref.dat, Potential_bruteforce_ref.dat, Accel_bruteforce_ref.dat and Accel_tree_ref.dat will be also generated as reference from pytreegrav.

  1. Edit Makefile, where mpicxx should be replaced by the compiler which the OpenMP is installed in.

  2. To compute the potential, you can simply type make to do it.

make

or

g++-12  octree.cpp treewalk.cpp main.cpp -fopenmp -o main.out
./main.out Particle.dat

Potential_tree.dat and Accel_tree.dat will be generated and the order is stored in the same (particle) as Particle.dat.

  1. Use CalError.py to compute and compare the errors.
python3 CalError.py
  1. Use Plot.py to plot projection and movie.sh to make movie.
python3 Plot.py
sh movie.sh

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