activity
20192024
most citedThe BACCO Simulation Project: Exploiting the full power of large-scale structure for cosmology

199 citations · 591 across the 10 of their papers we have counts for

collaborators

10 papers

astro-ph.CO2024★ 4 cited

A 1% accurate method to include baryonic effects in galaxy-galaxy lensing models

Matteo Zennaro, Giovanni Aricò, Carlos García-García +6

Galaxy clustering and galaxy-galaxy lensing are two of the main observational probes in Stage-IV large-scale structure surveys. Unfortunately, the complicated relationship between…

astro-ph.CO2024★ 44 cited

Cosmic shear with small scales: DES-Y3, KiDS-1000 and HSC-DR1

Carlos García-García, Matteo Zennaro, Giovanni Aricò +2

We present a cosmological analysis of the combination of the DES-Y3, KiDS-1000 and HSC-DR1 weak lensing samples under a joint harmonic-space pipeline making use of angular scales d…

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…

astro-ph.CO2020★ 5 cited

The BACCO Simulation Project: A baryonification emulator with Neural Networks

Giovanni Aricò, Raul E. Angulo, Sergio Contreras +3

We present a neural-network emulator for baryonic effects in the non-linear matter power spectrum. We calibrate this emulator using more than 50,000 measurements in a 15-dimensiona…

astro-ph.CO2020★ 55 cited

Simultaneous modelling of matter power spectrum and bispectrum in the presence of baryons

Giovanni Aricò, Raul E. Angulo, Carlos Hernández-Monteagudo +2

We demonstrate that baryonification algorithms, which displace particles in gravity-only simulations according to physically-motivated prescriptions, can simultaneously capture the…

astro-ph.CO2020★ 199 cited

The BACCO Simulation Project: Exploiting the full power of large-scale structure for cosmology

Raul E. Angulo, Matteo Zennaro, Sergio Contreras +3

We present the BACCO project, a simulation framework specially designed to provide highly-accurate predictions for the distribution of mass, galaxies, and gas as a function of cosm…

astro-ph.CO2019★ 98 cited

Modelling the large scale structure of the Universe as a function of cosmology and baryonic physics

Giovanni Aricò, Raul E. Angulo, Carlos Hernández-Monteagudo +4

We present and test a framework that models the three-dimensional distribution of mass in the Universe as a function of cosmological and astrophysical parameters. Our approach comb…

astro-ph.CO2019★ 50 cited

How to add massive neutrinos to your CDM simulation -- extending cosmology rescaling algorithms

Matteo Zennaro, Raúl E. Angulo, Giovanni Aricò +2

Providing accurate predictions for the spatial distribution of matter and luminous tracers in the presence of massive neutrinos is an important task, given the imminent arrival of…