CAMELS-SIMBA

Emerging

1papers using it

2023first seen

The CAMELS-SIMBA dataset is a suite of hydrodynamical simulations used to evaluate galaxy formation models by varying cosmological and feedback parameters, providing a benchmark for machine-learning algorithms in cosmological studies.

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Papers using CAMELS-SIMBA (1)

The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites2023 · 47 cites