CAMELS
CAMELS stands for Cosmology and Astrophysics with MachinE Learning Simulations, and it is a project that aims at building bridges between cosmology and astrophysics through numerical simulations and machine learning. CAMELS contains 14,607 cosmological simulations –6,163 N-body and 8,444 state-of-the-art (magneto-)hydrodynamic– and more than 1 Petabyte of data. CAMELS is the largest set of cosmological hydrodynamic simulations ever run.
Type |
Code |
Subgrid model |
Simulations |
|---|---|---|---|
Hydrodynamic |
Arepo |
IllustrisTNG |
3,219 |
Gizmo |
SIMBA |
1,171 |
|
MP-Gadget |
Astrid |
2,080 |
|
OpenGadget |
Magneticum |
77 |
|
Swift |
EAGLE |
1,052 |
|
Ramses |
552 |
||
Enzo |
6 |
||
Gadget4-Osaka |
CROCODILE |
260 |
|
Gizmo |
Obsidian |
27 |
|
N-body |
Gadget-III |
— |
6,136 |
Introductory video to the CAMELS project:
The video below shows an example of a CAMELS hydrodynamic simulation run with the Ramses code. Gas density and gas temperature are shown in blue and red, respectively as a function of time. CAMELS contains thousands of simulations like this one.
The video below illustrates the differences between different hydrodynamic simulations. All simulations share the same cosmology, initial conditions, and have fiducial astrophysics values. Differences in the different fields shown are due to the intrinsic differences between the subgrid models employed in the simulatons.
Do you want to play a game? See how well you can distinguish between different physical fields created from CAMELS:
CAMELS
Simulations
Data products
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