TY  - JOUR
VL  - 6
CY  - New York
KW  - Methods: data analysis; Methods: numerical; Galaxies: formation; Galaxies: evolution; Data management systems; Data access methods; Distributed architectures
A1  - Nelson, Dylan
A1  - Springel, Volker
A1  - Pillepich, Annalisa
A1  - Rodriguez-Gomez, Vicente
A1  - Torrey, Paul
A1  - Genel, Shy
A1  - Vogelsberger, Mark
A1  - Pakmor, Ruediger
A1  - Marinacci, Federico
A1  - Weinberger, Rainer
A1  - Kelley, Luke
A1  - Lovell, Mark
A1  - Diemer, Benedikt
A1  - Hernquist, Lars
IS  - 2
EP  - 29
N2  - 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.
TI  - The IllustrisTNG simulations: public data release
Y1  - 2019///
AV  - public
ID  - heidok26446
JF  - Computational Astrophysics and Cosmology
SP  - 1
SN  - 2197-7909
UR  - https://archiv.ub.uni-heidelberg.de/volltextserver/26446/
PB  - Springer international
ER  -