Lucia Perez – Fixing CAMELS biggest flaw (small box sizes) with semi-analytic models

Lucia tells us about her work with CAMELS trying to overcome the biggest barrier CAMELS faces, small box size. It might never be possible to run 1000s of large volume hydrodynamical simulations simply because the hierarchy of scales is too big (baryon feedback happens on small scales, overcoming sample variance requires very large boxes).

Therefore, to get many many simulation boxes, with baryonic effects in them one option is semi-analytic models. This is what Lucia has and is doing and what she discusses in the video…

Lucia: https://isearch.asu.edu/profile/2606833

Paper: Constraining cosmology with machine learning and galaxy clustering: the CAMELS-SAM suite [2204.02408]

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