English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Early structure formation in the THESAN radiation-magneto-hydrodynamics simulations

MPS-Authors
/persons/resource/persons238458

Garaldi,  E.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons4606

Springel,  V.
Computational Structure Formation, MPI for Astrophysics, Max Planck Society;

/persons/resource/persons4732

Pakmor,  R.
Stellar Astrophysics, MPI for Astrophysics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Garaldi, E., Kannan, R., Smith, A., Springel, V., Pakmor, R., Vogelsberger, M., et al. (2023). Early structure formation in the THESAN radiation-magneto-hydrodynamics simulations. In D. Bisikalo, D. Wiebe, & C. Boily (Eds.), Predictive Power of Computational Astrophysics as a Discovery Tool (pp. 1-7). Cambridge, UK: Cambridge University Press. doi:10.1017/S1743921322001636.


Cite as: https://hdl.handle.net/21.11116/0000-000D-4B69-A
Abstract


The formation of the first galaxies in the Universe is the new frontier of both galaxy formation and reionization studies. This creates a fierce new challenge, i.e. to simultaneously understand in a unique and coherent picture the processes of galaxy formation and reionization, and – crucially – their connection. To this end, we present the thesan suite of cosmological radiation-magneto-hydrodynamical simulations. They are unique since they: (i) cover a very broad range of spatial and temporal scales; (ii) include an unprecedentedly-broad range of physical processes for simulations of such scales and resolution; (iii) exploit knowledge accumulated at low redshift to minimize the number of free parameters in the physical model; (iv) use a variance-suppression technique in the production of initial conditions to increase their statistical fidelity. Finally, the thesan suite includes multiple runs of the same initial conditions, exploring current unknowns in the physics of dark matter and ionizing sources.