There is a newer version of this record available.

Dataset Open Access

Nbody 3D Histograms dataset

Janis Fluri; Nathanael Perraudin

This is the N-body simulations 3D images dataset used in the following paper:
Scalable Generative Adversarial Networks for Multi-dimensional Images
Ankit Srivastava, Nathanaël Perraudin, Aurelien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Refregier, Adam Amara

  title = {Cosmological N-body simulations: a challenge for scalable generative models},
  author = {Nathana\"el, Perraudin and Ankit, Srivastava and Kacprzak, Tomasz and Lucchi, Aurelien and Hofmann, Thomas and R{\'e}fr{\'e}gier, Alexandre},
  year = {2019},
  archivePrefix = {arXiv},
  eprint = {1908.05519},
  url = {},

The dataset does not contain the Nbody simulations as they have a very large size. Instead, we sliced the space into 256 x 256 x 256 cubical areas and counted the number of particules in each area. The result are 3D histograms, where the number of particles is a proxy for matter density.

If you work with this dataset, you might be interested in this code as well

Note that a the same Nbody simulation were used in this paper, but with a different way of building the histogram.
Fast Cosmic Web Simulations with Generative Adversarial Networks
Andres C Rodriguez, Tomasz Kacprzak, Aurelien Lucchi, Adam Amara, Raphael Sgier, Janis Fluri, Thomas Hofmann, Alexandre Réfrégier

N-body simulation evolves a cosmological matter distribution over time, starting from soon after the big bang.
It represents matter density distribution as a finite set of massive particles, typically order of trillions.
The positions of these particles are modified due to gravitational forces and expansion of the cosmological volume due to cosmic acceleration.
N-body simulations use periodic boundary condition, where particles leaving the volume on one face enter it back from the opposite side.

## Short description of the data generation from Rordiguez et al. 2018:

We created N-body simulations of cosmic structures in boxes of size 100 Mpc and 500 Mpc with 512^3 and 1,024^3 particles respectively.
We used L-PICOLA [21] to create 10 and 30 independent simulation boxes for both box sizes.
The cosmological model used was ΛCDM (Cold Dark Matter) with Hubble constant H0 = 100, h = 70 km s−1 Mpc−1,
dark energy density Omega_Lambda = 0.72 and matter density Omega_m = 0.28.
We used the particle distribution at redshift z = 0.

For additional information, please check the

Files (850.4 MB)
Name Size
850.4 MB Download
6.8 kB Download
All versions This version
Views 275185
Downloads 14774
Data volume 78.2 GB41.7 GB
Unique views 252177
Unique downloads 8349


Cite as