The illustris simulation: Public data release
Name
The Illustris simulation public data release.pdf
Size
3.04 MB
Format
Adobe PDF
Checksum (MD5)
9e945e560ba02bacee15b02984e7c832
Author(s)
Nelson, D.
Pillepich, A.
Genel, S.
Springel, V.
Rodriguez-Gomez, V.
Sijacki, D.
Snyder, G.F.
Blecha, L.
Sales, L.
Xu, D.
Date Issued
September 2015
Journal
Astronomy and Computing
Publisher
Elsevier
Citation
Nelson, D. et al. “The Illustris Simulation: Public Data Release.” Astronomy and Computing 13 (November 2015): 12–37 © 2015 Elsevier B.V.
Version
Author's final manuscript
Abstract
We present the full public release of all data from the Illustris simulation project. Illustris is a suite of large volume, cosmological hydrodynamical simulations run with the moving-mesh code Arepo and including a comprehensive set of physical models critical for following the formation and evolution of galaxies across cosmic time. Each simulates a volume of (106.5 Mpc)³ and self-consistently evolves five different types of resolution elements from a starting redshift of z=127 to the present day, z=0. These components are: dark matter particles, gas cells, passive gas tracers, stars and stellar wind particles, and supermassive black holes. This data release includes the snapshots at all 136 available redshifts, halo and subhalo catalogs at each snapshot, and two distinct merger trees. Six primary realizations of the Illustris volume are released, including the flagship Illustris-1 run. These include three resolution levels with the fiducial “full” baryonic physics model, and a dark matter only analog for each. In addition, we provide four distinct, high time resolution, smaller volume “subboxes”. The total data volume is ∼∼265 TB, including ∼∼800 full volume snapshots and ∼30,000 subbox snapshots. We describe the released data products as well as tools we have developed for their analysis. All data may be directly downloaded in its native HDF5 format. Additionally, we release a comprehensive, web-based API which allows programmatic access to search and data processing tasks. In both cases we provide example scripts and a getting-started guide in several languages: currently, IDL, Python, and Matlab. This paper addresses scientific issues relevant for the interpretation of the simulations, serves as a pointer to published and on-line documentation of the project, describes planned future additional data releases, and discusses technical aspects of the release
MIT Department
Massachusetts Institute of Technology. Department of Physics
MIT Kavli Institute for Astrophysics and Space Research
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.ascom.2015.09.003
