# The BACCO simulation project: a baryonification emulator with neural networks

@article{Arico2021TheBS, title={The BACCO simulation project: a baryonification emulator with neural networks}, author={G. Arico and Raul E Angulo and Sergio Contreras and Lurdes Ondaro-Mallea and Marcos Pellejero-Ib{\'a}{\~n}ez and Matteo Zennaro}, journal={Monthly Notices of the Royal Astronomical Society}, year={2021} }

We present a neural network emulator for baryonic effects in the non-linear matter power spectrum. We calibrate this emulator using more than 50 000 measurements in a 15D parameter space, varying cosmology and baryonic physics. Baryonic physics is described through a baryonification algorithm, which has been shown to accurately capture the relevant effects on the power spectrum and bispectrum in state-of-the-art hydrodynamical simulations. Cosmological parameters are sampled using a cosmology…

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