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.
Highlights
Some of our most powerful tools for understanding the origin and evolution of large-scale cosmic structure and the galaxies which form therein are cosmological simulations
8 Summary and conclusions We have made publicly available data from the IllustrisTNG simulation project at the permanent URL: http://www.tng-project.org/data/ IllustrisTNG is a series of large-scale, cosmological simulations ideal for studying the formation and evolution of galaxies
The simulation suite consists of three volumes: TNG50, TNG100, and TNG300
Summary
Some of our most powerful tools for understanding the origin and evolution of large-scale cosmic structure and the galaxies which form therein are cosmological simulations. This provides a clean way to organize post-processing computations which produce additional values for halos, subhalos, or individual particles/cells Such data can be loaded with the same scripts (and same syntax) as ‘original’ snapshot/group catalog fields. (N) Particle-level lightcones—in a variety of configurations, from small field of view ‘deep fields’ to all-sky projections, across the different matter components, to facilitate lensing, x-ray, Sunyaev-Zeldovich, and related explorations (Giocoli et al in prep) Several of these were previously available for the original Illustris simulation and will be re-computed for TNG. After determining a sample of interesting galaxies (i.e. a set of subhalo IDs), one can extract their individual merger trees (and/or raw particle data) without needing to download the full simulation merger tree (or a full snapshot) These approaches are described below, while “getting started” tutorials for several languages (currently: Python, IDL, and Matlab) can be found online. Each result contains links to a common set of API endpoints and web-based tools for inspection and visualization
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