The TNG50 Simulation: Highly-Resolved Galaxies in a Large Cosmological Volume to the Present Day

Annalisa Pillepich (), Dylan Nelson (), Volker Springel (), Rüdiger Pakmor (), Lars Hernquist (), Mark Vogelsberger (), Rainer Weinberger (), Shy Genel (), Federico Marinacci (), Paul Torrey () and Jill Naiman ()
Additional contact information
Annalisa Pillepich: Max-Planck-Institut für Astronomie
Dylan Nelson: Max-Planck-Institut für Astrophysik
Volker Springel: Max-Planck-Institut für Astrophysik
Rüdiger Pakmor: Max-Planck-Institut für Astrophysik
Lars Hernquist: Harvard-Smithsonian Center for Astrophysics
Mark Vogelsberger: Massachusetts Institute of Technology, MIT Kavli Institute for Astrophysics and Space Research, Department of Physics
Rainer Weinberger: Harvard-Smithsonian Center for Astrophysics
Shy Genel: Center for Computational Astrophysics
Federico Marinacci: University of Bologna, Department of Physics and Astronomy
Paul Torrey: University of Florida, Department of Physics
Jill Naiman: Harvard-Smithsonian Center for Astrophysics

A chapter in High Performance Computing in Science and Engineering '19, 2021, pp 5-22 from Springer

Abstract: Abstract Large-volume cosmological hydrodynamical simulations of galaxy formation enable us to theoretically follow the co-evolution of thousands of galaxies while directly outputting the observable signatures that result from the complex and highly non-linear process of cosmic structure formation. Here we present the first results from the TNG50 run, an unprecedented ‘next generation’ cosmological, magnetohydrodynamical simulation that we have recently brought to completion on the Hazel Hen supercomputer. TNG50 is the third and final volume of the IllustrisTNG project. With over 20 billion resolution elements it resolves spatial scales down to $$\sim $$ ∼ 100 parsecs, following the co-evolution of dark matter, gas, stars, supermassive black holes and magnetic fields across the history of the Universe.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-66792-4_1

Ordering information: This item can be ordered from
http://www.springer.com/9783030667924

DOI: 10.1007/978-3-030-66792-4_1

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().