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The IllustrisTNG simulations: public data release

Authors :
Paul Torrey
Annalisa Pillepich
Benedikt Diemer
Federico Marinacci
Mark Vogelsberger
Lars Hernquist
Dylan Nelson
Mark R. Lovell
Luke Zoltan Kelley
Ruediger Pakmor
Volker Springel
Rainer Weinberger
Shy Genel
Vicente Rodriguez-Gomez
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 and Cosmology, Vol 6, Iss 1, Pp 1-29 (2019), Computational Astrophysics and Cosmology
Publication Year :
2019
Publisher :
Springer international, 2019.

Abstract

We present the full public release of all data from the TNG50, 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 blackholes from early time to the present day, z=0. Each of the flagship runs -- TNG50, TNG100, and TNG300 -- are accompanied by lower-resolution and dark-matter only counterparts, and we discuss scientific and numerical cautions and caveats relevant when using TNG. Full volume snapshots are available at 100 redshifts; halo and subhalo catalogs at each snapshot and merger trees are also released. The data volume now directly accessible online is ~1.1 PB, including 2,000 full volume snapshots and ~110,000 high time-resolution subbox snapshots. 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 which supports user computation with fully local access to TNG data, alleviating the need to download large simulated datasets.<br />TNG50 joins TNG100 and TNG300 in public release (1 Feb 2021) at http://www.tng-project.org/data

Details

Language :
English
Database :
OpenAIRE
Journal :
Computational Astrophysics and Cosmology, Vol 6, Iss 1, Pp 1-29 (2019), Computational Astrophysics and Cosmology
Accession number :
edsair.doi.dedup.....85555a5436a673a95aef84994a35cdbd