On the effects of parameters on galaxy properties in CAMELS and the predictability of $\hat{I}{\text{c◯}}_{\mathrm{m}}$

Gabriella Contardo, Roberto Trotta, Serafina Di Gioia +2

Recent analyses of cosmological hydrodynamic simulations from CAMELS have shown that machine learning models can predict the parameter describing the total matter content of the un…