73 citations · 267 across the 13 of their papers we have counts for
13 papers
cloelib: A Flexible Python Library for Computing Cosmological Observables in the Euclid Era
Marco Bonici, Guadalupe Cañas-Herrera, Pedro Carrilho +54
cloelib is a Python library developed to compute cosmological observables within the Cosmology Likelihood for Observables in Euclid (CLOE) ecosystem (cloe-org). As cosmology enters…
Secondary Dependence of Baryonic Effects on the Density Profile of Dark Matter Halos
Yikun Wang, Idit Zehavi, Sergio Contreras +3
Baryonic physics is anticipated to be a major source of systematic uncertainty in current and future large-scale cosmological surveys. We investigate how baryonic effects on halo d…
The evolution of the baryonic content and mass profiles of satellite galaxies in the MTNG simulations
Sergio Contreras, Raul E. Angulo, Giovanni Aricò +5
Empirical models often rely on key relations from the galaxy--halo connection to construct mock galaxy catalogues. These relations typically describe central galaxies more accurate…
FLAMINGO: Galaxy formation and feedback effects on the gas density and velocity fields
Lurdes Ondaro-Mallea, Raul E. Angulo, Giovanni Aricò +3
Most of the visible matter in the Universe is in a gaseous state, subject to hydrodynamic forces and galaxy formation processes that are much more complex to model than gravity. Th…
Baryonification extended to thermal Sunyaev Zeldovich
Giovanni Aricò, Raul E. Angulo
Baryonification algorithms model the impact of galaxy formation and feedback on the matter field in gravity-only simulations by adopting physically motivated parametric prescriptio…
Determining the Baryon Impact on the Matter Power Spectrum with Galaxy Clusters
Sebastian Grandis, Giovanni Arico', Aurel Schneider +1
The redistribution of baryonic matter in massive halos through processes like active galactic nuclei feedback and star formation leads to a suppression of the matter power spectrum…
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…
Consistent and simultaneous modelling of galaxy clustering and galaxy-galaxy lensing with Subhalo Abundance Matching
Sergio Contreras, Raul E. Angulo, Jonás Chaves-Montero +2
The spatial distribution of galaxies and their gravitational lensing signal offer complementary tests of galaxy formation physics and cosmology. However, their synergy can only be…
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…
Constraining the Baryonic Feedback with Cosmic Shear Using the DES Year-3 Small-Scale Measurements
A. Chen, G. Aricò, D. Huterer +139
We use the small scales of the Dark Energy Survey (DES) Year-3 cosmic shear measurements, which are excluded from the DES Year-3 cosmological analysis, to constrain the baryonic fe…
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…
Cosmological parameter estimation via iterative emulation of likelihoods
Marcos Pellejero-Ibañez, Raul E. Angulo, Giovanni Aricó +3
The interpretation of cosmological observables requires the use of increasingly sophisticated theoretical models. Since these models are becoming computationally very expensive and…