199 citations · 1.4k across the 33 of their papers we have counts for
33 papers
Validation of the Hybrid Bias Expansion model for the galaxy bispectrum
Marcos Pellejero Ibáñez, Raul E. Angulo, Laila Linke +8
The Hybrid Bias Expansion model (also known as Hybrid Effective Field Theory, HEFT) provides a promising way to extend the range of validity of perturbative large-scale structure m…
Cosmological constraints from the small scale clustering of Emission Line Galaxies
Sara Ortega-Martinez, Raul E. Angulo, Sergio Contreras +7
Spectroscopic surveys such as the Dark Energy Spectroscopic Instrument (DESI) and Euclid are mapping the spatial distribution of millions of galaxies, with Emission Line Galaxies (…
Euclid: An emulator for baryonic effects on the matter bispectrum
P. A. Burger, G. Aricò, L. Linke +153
Understanding the impact of baryonic processes such as star formation and active galactic nuclei (AGN) feedback on matter clustering is crucial to ensure precise and unbiased cosmo…
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…
A Parameter-Masked Mock Data Challenge for Beyond-Two-Point Galaxy Clustering Statistics
2pt Collaboration, Elisabeth Krause, Yosuke Kobayashi +23
The last few years have seen the emergence of a wide array of novel techniques for analyzing high-precision data from upcoming galaxy surveys, which aim to extend the statistical a…
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…
Euclid preparation. XLI. Galaxy power spectrum modelling in real space
Euclid Collaboration, A. Pezzotta, C. Moretti +246
We investigate the accuracy of the perturbative galaxy bias expansion in view of the forthcoming analysis of the Euclid spectroscopic galaxy samples. We compare the performance of…
Galaxy bias in the era of LSST: perturbative bias expansions
Andrina Nicola, Boryana Hadzhiyska, Nathan Findlay +14
Upcoming imaging surveys will allow for high signal-to-noise measurements of galaxy clustering at small scales. In this work, we present the results of the LSST bias challenge, the…
DES Y3 cosmic shear down to small scales: constraints on cosmology and baryons
Giovanni Aricò, Raul E. Angulo, Matteo Zennaro +3
We present the first analysis of cosmic shear measured in DES Y3 that employs the entire range of angular scales in the data. To achieve this, we build upon recent advances in the…
Euclid: Modelling massive neutrinos in cosmology -- a code comparison
J. Adamek, R. E. Angulo, C. Arnold +133
The measurement of the absolute neutrino mass scale from cosmological large-scale clustering data is one of the key science goals of the Euclid mission. Such a measurement relies o…
The cosmology dependence of the concentration-mass-redshift relation
Daniel López-Cano, Raúl E. Angulo, Aaron D. Ludlow +4
The concentrations of dark matter haloes provide crucial information about their internal structure and how it depends on mass and redshift -- the so-called concentration-mass-reds…
The Bacco Simulation Project: Bacco Hybrid Lagrangian Bias Expansion Model in Redshift Space
Marcos Pellejero-Ibanez, Raul E. Angulo, Matteo Zennaro +4
We present an emulator that accurately predicts the power spectrum of galaxies in redshift space as a function of cosmological parameters. Our emulator is based on a 2nd-order Lagr…
DEMNUni: comparing nonlinear power spectra prescriptions in the presence of massive neutrinos and dynamical dark energy
G. Parimbelli, C. Carbone, J. Bel +4
We provide an accurate comparison, against large cosmological -body simulations, of different prescriptions for modelling nonlinear matter power spectra in the presence of massi…
Statistics of biased tracers in variance-suppressed simulations
Francisco Maion, Raul E. Angulo, Matteo Zennaro
Cosmological simulations play an increasingly important role in analysing the observed large-scale structure of the Universe. Recently, they have been particularly important in bui…
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…
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…
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…
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…
A flexible subhalo abundance matching model for galaxy clustering in redshift space
Sergio Contreras, Raul Angulo, Matteo Zennaro
We develop an extension of subhalo abundance matching (SHAM) capable of accurately reproducing the real and redshift-space clustering of galaxies in a state-of-the-art hydrodynamic…
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…
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…
A flexible modelling of galaxy assembly bias
Sergio Contreras, Raul Angulo, Matteo Zennaro
We use the {\sc Illustris TNG300} magneto-hydrodynamic simulation, the {\sc SAGE} semi-analytical model, and the subhalo abundance matching technique (SHAM) to examine the diversit…