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dc.contributor.authorNelson, Dylan
dc.contributor.authorSpringel, Volker
dc.contributor.authorPillepich, Annalisa
dc.contributor.authorRodriguez-Gomez, Vicente
dc.contributor.authorTorrey, Paul A.
dc.contributor.authorGenel, Shy
dc.contributor.authorVogelsberger, Mark
dc.contributor.authorPakmor, Ruediger
dc.contributor.authorMarinacci, Federico
dc.contributor.authorWeinberger, Rainer
dc.contributor.authorKelley, Luke
dc.contributor.authorLovell, Mark
dc.contributor.authorDiemer, Benedikt
dc.contributor.authorHernquist, Lars
dc.date.accessioned2020-12-22T15:21:53Z
dc.date.available2020-12-22T15:21:53Z
dc.date.issued2019-05-14
dc.identifier.issn2197-7909
dc.identifier.urihttps://hdl.handle.net/1721.1/128889
dc.description.abstractWe 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.en_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s40668-019-0028-xen_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer International Publishingen_US
dc.titleThe IllustrisTNG simulations: public data releaseen_US
dc.typeArticleen_US
dc.identifier.citationNelson, Dylan et al. "The IllustrisTNG simulations: public data release." Computational Astrophysics and Cosmology 6, 1 (May 2019) : 2en_US
dc.contributor.departmentMIT Kavli Institute for Astrophysics and Space Researchen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-06-26T13:29:13Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.embargo.termsN
dspace.date.submission2020-06-26T13:29:13Z
mit.journal.volume6en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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