The IllustrisTNG Simulations: Public Data Release

Dylan Nelson; Volker Springel; Annalisa Pillepich; Vicente Rodriguez-Gomez; Paul Torrey; Shy Genel; Mark Vogelsberger; Ruediger Pakmor; Federico Marinacci; Rainer Weinberger; Luke Kelley; Mark Lovell; Benedikt Diemer; Lars Hernquist

arXiv · 1812.05609

The IllustrisTNG Simulations: Public Data Release

Dylan Nelson·Volker Springel·Annalisa Pillepich·Vicente Rodriguez-Gomez·Paul Torrey·Shy Genel·Mark Vogelsberger·Ruediger Pakmor·Federico Marinacci·Rainer Weinberger·Luke Kelley·Mark Lovell·Benedikt Diemer·Lars Hernquist

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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.

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Dylan Nelson, Volker Springel, Annalisa Pillepich, Vicente Rodriguez-Gomez, Paul Torrey, Shy Genel, Mark Vogelsberger, Ruediger Pakmor, Federico Marinacci, Rainer Weinberger, Luke Kelley, Mark Lovell, Benedikt Diemer, Lars Hernquist. 2018-12-13. The IllustrisTNG Simulations: Public Data Release. https://arxiv.org/abs/1812.05609

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