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The IllustrisTNG simulations: public data release
- Source :
- Computational Astrophysics and Cosmology, Vol 6, Iss 1, Pp 1-29 (2019), Computational Astrophysics and Cosmology
- Publication Year :
- 2019
- Publisher :
- Springer international, 2019.
-
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.<br />TNG50 joins TNG100 and TNG300 in public release (1 Feb 2021) at http://www.tng-project.org/data
- Subjects :
- Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Computer science
lcsh:Astronomy
Dark matter
FOS: Physical sciences
Data management system
Distributed architectures
lcsh:Astrophysics
lcsh:Analysis
Galaxies: formation
Computational science
lcsh:QB1-991
Data access method
Methods: data analysis
lcsh:QB460-466
Galaxy formation and evolution
lcsh:Science
520 Astronomy and allied sciences
Instrumentation and Methods for Astrophysics (astro-ph.IM)
Data management systems
General Environmental Science
computer.programming_language
Supermassive black hole
COSMIC cancer database
Methods: numerical
lcsh:Mathematics
Galaxies: evolution
Data access methods
lcsh:QA299.6-433
Python (programming language)
lcsh:QA1-939
Astrophysics - Astrophysics of Galaxies
Galaxy
Visualization
Data access
Astrophysics of Galaxies (astro-ph.GA)
General Earth and Planetary Sciences
lcsh:Q
Astrophysics - Instrumentation and Methods for Astrophysics
computer
Methods: data analysi
Astrophysics - Cosmology and Nongalactic Astrophysics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Computational Astrophysics and Cosmology, Vol 6, Iss 1, Pp 1-29 (2019), Computational Astrophysics and Cosmology
- Accession number :
- edsair.doi.dedup.....85555a5436a673a95aef84994a35cdbd