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Testing galaxy formation simulations with damped Lyman-α abundance and metallicity evolution
(Oxford University Press, 2020)
We examine the properties of damped Lyman-α absorbers (DLAs) emerging from a single set of cosmological initial conditions in two state-of-the-art cosmological hydrodynamic simulations: SIMBA and TECHNICOLOR DAWN. The ...
The CAMELS multifield data set: Learning the universe’s fundamental parameters with artificial intelligence
(IOP, 2022)
We present the Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) Multifield Data set
(CMD), a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of
cosmic ...