Priors on Lagrangian bias parameters from galaxy formation modelling

We study the relations among parameters of hybrid Lagrangian bias expansion model, fitting biased auto and cross power spectra up to $k_{\rm max} = 0.7 \, h \mathrm{Mpc}^{-1}$. consider $\sim 8000$ halo galaxy samples, with different masses, redshifts, number densities, varying formation model. Galaxy samples are obtained through state-of-the-art extended subhalo abundance matching techniques include both stellar-mass star-formation-rate selected galaxies. All these synthetic galaxies publicly available at https://bacco.dipc.org/galpk.html. find that model provides accurate fits all our samples. The coevolution between parameters, although roughly compatible those for haloes, show systematic shifts larger scatter. explore possible sources this difference in terms dependence on occupation assembly each sample. parameter displayed work can be used as a prior future Bayesian analyses employing