activity
20162026
most citedThe BACCO Simulation Project: Exploiting the full power of large-scale structure for cosmology

199 citations · 1.4k across the 33 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

astro-ph.CO2021★ 37 cited

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}…

astro-ph.CO2021★ 22 cited

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…

astro-ph.CO2021★ 29 cited

The cosmological dependence of halo and galaxy assembly bias

Sergio Contreras, Jonás Chaves-Montero, Matteo Zennaro +1

One of the main predictions of excursion set theory is that the clustering of dark matter haloes only depends on halo mass. However, it has been long established that the clusterin…

astro-ph.CO2021★ 39 cited

Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Giovanni Aricò, Raul E. Angulo, Matteo Zennaro

The linear matter power spectrum is an essential ingredient in all theoretical models for interpreting large-scale-structure observables. Although Boltzmann codes such as CLASS or…

astro-ph.CO2021★ 42 cited

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…

astro-ph.CO2021★ 55 cited

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…