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The IllustrisTNG simulations: public data release.

Authors :
Nelson, Dylan
Springel, Volker
Pillepich, Annalisa
Rodriguez-Gomez, Vicente
Torrey, Paul
Genel, Shy
Vogelsberger, Mark
Pakmor, Ruediger
Marinacci, Federico
Weinberger, Rainer
Kelley, Luke
Lovell, Mark
Diemer, Benedikt
Hernquist, Lars
Source :
Computational Astrophysics & Cosmology; 5/14/2019, Vol. 6 Issue 1, pN.PAG-N.PAG, 1p
Publication Year :
2019

Abstract

We present the full public release of all data from the TNG100 and TNG300 simulations of the IllustrisTNG project. IllustrisTNG is a suite of large volume, cosmological, gravo-magnetohydrodynamical simulations run with the moving-mesh code Arepo. TNG includes a comprehensive model for galaxy formation physics, and each TNG simulation self-consistently solves for the coupled evolution of dark matter, cosmic gas, luminous stars, and supermassive black holes from early time to the present day, z = 0 . Each of the flagship runs—TNG50, TNG100, and TNG300—are accompanied by halo/subhalo catalogs, merger trees, lower-resolution and dark-matter only counterparts, all available with 100 snapshots. We discuss scientific and numerical cautions and caveats relevant when using TNG. The data volume now directly accessible online is ∼750 TB, including 1200 full volume snapshots and ∼80,000 high time-resolution subbox snapshots. This will increase to ∼1.1 PB with the future release of TNG50. Data access and analysis examples are available in IDL, Python, and Matlab. We describe improvements and new functionality in the web-based API, including on-demand visualization and analysis of galaxies and halos, exploratory plotting of scaling relations and other relationships between galactic and halo properties, and a new JupyterLab interface. This provides an online, browser-based, near-native data analysis platform enabling user computation with local access to TNG data, alleviating the need to download large datasets. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21977909
Volume :
6
Issue :
1
Database :
Complementary Index
Journal :
Computational Astrophysics & Cosmology
Publication Type :
Academic Journal
Accession number :
136444601
Full Text :
https://doi.org/10.1186/s40668-019-0028-x