There is a newer version of this record available.

Dataset Open Access

Nbody 3D Histograms dataset

Janis Fluri; Nathanael Perraudin


JSON-LD (schema.org) Export

{
  "description": "<p><br>\nThis is the N-body simulations 3D images dataset used in the following paper:<br>\n<strong>Scalable Generative Adversarial Networks for Multi-dimensional Images</strong><br>\n<em>Ankit Srivastava, Nathana&euml;l Perraudin, Aurelien Lucchi, Tomasz Kacprzak, Thomas Hofmann, Alexandre Refregier, Adam Amara</em><br>\n<a href=\"https://arxiv.org/abs/1908.05519\">https://arxiv.org/abs/1908.05519</a></p>\n\n<blockquote>\n<p>@inproceedings{perraudin2019cosmological,<br>\n&nbsp; title = {Cosmological N-body simulations: a challenge for scalable generative models},<br>\n&nbsp; author = {Nathana\\&quot;el, Perraudin and Ankit, Srivastava and Kacprzak, Tomasz and Lucchi, Aurelien and Hofmann, Thomas and R{\\&#39;e}fr{\\&#39;e}gier, Alexandre},<br>\n&nbsp; year = {2019},<br>\n&nbsp; archivePrefix = {arXiv},<br>\n&nbsp; eprint = {1908.05519},<br>\n&nbsp; url = {https://arxiv.org/abs/1908.05519},<br>\n}</p>\n</blockquote>\n\n<p>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.</p>\n\n<p>If you work with this dataset, you might be interested in this code as well <a href=\"https://github.com/nperraud/3DcosmoGAN\">https://github.com/nperraud/3DcosmoGAN</a></p>\n\n<p>Note that a the same Nbody simulation were used in this paper, but with a different way of building the histogram.<br>\n<strong>Fast Cosmic Web Simulations with Generative Adversarial Networks</strong><br>\n<em>Andres C Rodriguez, Tomasz Kacprzak, Aurelien Lucchi, Adam Amara, Raphael Sgier, Janis Fluri, Thomas Hofmann, Alexandre R&eacute;fr&eacute;gier</em><br>\n<a href=\"https://arxiv.org/abs/1801.09070v1\">https://arxiv.org/abs/1801.09070v1</a></p>\n\n<p><br>\nN-body simulation evolves a cosmological matter distribution over time, starting from soon after the big bang.<br>\nIt represents matter density distribution as a finite set of massive particles, typically order of trillions.<br>\nThe positions of these particles are modified due to gravitational forces and expansion of the cosmological volume due to cosmic acceleration.<br>\nN-body simulations use periodic boundary condition, where particles leaving the volume on one face enter it back from the opposite side.</p>\n\n<p>## Short description of the data generation from Rordiguez et al. 2018:</p>\n\n<p>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.<br>\nWe used L-PICOLA [21] to create 10 and 30 independent simulation boxes for both box sizes.<br>\nThe cosmological model used was &Lambda;CDM (Cold Dark Matter) with Hubble constant H0 = 100, h = 70 km s&minus;1 Mpc&minus;1,<br>\ndark energy density Omega_Lambda = 0.72 and matter density Omega_m = 0.28.<br>\nWe used the particle distribution at redshift z = 0.</p>\n\n<p><br>\nFor additional information, please check the README.md</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Cosmology Research Group - ETHZ", 
      "@type": "Person", 
      "name": "Janis Fluri"
    }, 
    {
      "affiliation": "Swiss Data Science Center - ETHZ", 
      "@type": "Person", 
      "name": "Nathanael Perraudin"
    }
  ], 
  "url": "https://zenodo.org/record/1464832", 
  "datePublished": "2018-10-17", 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/701e9346-8847-43a3-a979-bd6663e99a09/nbody-cubes.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/701e9346-8847-43a3-a979-bd6663e99a09/README.md", 
      "encodingFormat": "md", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.1464832", 
  "@id": "https://doi.org/10.5281/zenodo.1464832", 
  "@type": "Dataset", 
  "name": "Nbody 3D Histograms dataset"
}
161
103
views
downloads
All versions This version
Views 161103
Downloads 10356
Data volume 57.8 GB34.0 GB
Unique views 14797
Unique downloads 5636

Share

Cite as