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The IllustrisTNG simulations: public data release

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

In: Computational Astrophysics and Cosmology, 6 (2019), Nr. 2. pp. 1-29. ISSN 2197-7909

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Download (4MB) | Lizenz: Creative Commons LizenzvertragThe IllustrisTNG simulations: public data release by 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 underlies the terms of Creative Commons Attribution 4.0

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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 $z=0$. 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.

Item Type: Article
Journal or Publication Title: Computational Astrophysics and Cosmology
Volume: 6
Number: 2
Publisher: Springer international
Place of Publication: New York
Date Deposited: 01 Aug 2019 15:48
Date: 2019
ISSN: 2197-7909
Page Range: pp. 1-29
Faculties / Institutes: Service facilities > Zentrum für Astronomie der Universität Heidelberg (ZAH)
Service facilities > Max-Planck-Institute allgemein > MPI for Astronomy
Subjects: 520 Astronomy and allied sciences
Uncontrolled Keywords: Methods: data analysis; Methods: numerical; Galaxies: formation; Galaxies: evolution; Data management systems; Data access methods; Distributed architectures
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