199 citations · 2.6k across the 48 of their papers we have counts for
6 papers · 1 filter
Priors on Lagrangian bias parameters from galaxy formation modelling
Matteo Zennaro, Raul E. Angulo, Sergio Contreras +2
We study the relations among the parameters of the hybrid Lagrangian bias expansion model, fitting biased auto and cross power spectra up to $k_{\rm max} = 0.7 \, h \, \mathrm{Mpc}…
Modelling galaxy clustering in redshift space with a Lagrangian bias formalism and -body simulations
Marcos Pellejero-Ibanez, Jens Stuecker, Raul E. Angulo +3
Improving the theoretical description of galaxy clustering on small scales is an important challenge in cosmology, as it can considerably increase the scientific return of forthcom…
Predicting halo occupation and galaxy assembly bias with machine learning
Xiaoju Xu, Saurabh Kumar, Idit Zehavi +1
Understanding the impact of halo properties beyond halo mass on the clustering of galaxies (namely galaxy assembly bias) remains a challenge for contemporary models of galaxy clust…
Non-universality of the mass function: dependence on the growth rate and power spectrum shape
Lurdes Ondaro-Mallea, Raul E. Angulo, Matteo Zennaro +2
The abundance of dark matter haloes is one of the key probes of the growth of structure and expansion history of the Universe. Theoretical predictions for this quantity usually ass…
The BACCO simulation project: biased tracers in real space
Matteo Zennaro, Raul E. Angulo, Marcos Pellejero-Ibáñez +3
We present an emulator for the two-point clustering of biased tracers in real space. We construct this emulator using neural networks calibrated with more than cosmological m…
SHAM through the lens of a hydrodynamical simulation
Ginevra Favole, Antonio D. Montero-Dorta, M. Celeste Artale +3
We use the IllustrisTNG100 hydrodynamical simulation to study the dependence of the galaxy two-point correlation function on a broad range of secondary subhalo and galactic propert…