53 citations · 196 across the 11 of their papers we have counts for
12 papers
Full-Shape Analysis of the Redshift-Space Galaxy Trispectrum in the EFTofLSS
Beatriz Tucci, Oliver H. E. Philcox
The effective field theory of large-scale structure (EFTofLSS) program for spectroscopic galaxy surveys has been remarkably successful for cosmological inference from the galaxy po…
Emulating Cosmic Structure Formation with a Lagrangian Neural Cellular Automaton
Cooper Jacobus, Beatriz Tucci, Oliver Philcox
Field-level inference of cosmological initial conditions from galaxy surveys requires a forward model that is simultaneously accurate in the non-linear regime, computationally effi…
Field-level vs summaries: convergence of information in non-Gaussian density fields
Ivana Nikolac, Fabian Schmidt, Beatriz Tucci
We elucidate the sources of information gain in weakly non-Gaussian cosmological fields at the field- vs. summary-statistic-level in a controlled setting. Specifically, we compare…
Forward vs Backward: Improving BAO Constraints with Field-Level Inference
Ivana Babić, Fabian Schmidt, Beatriz Tucci
We present results of field-level inference of the baryon acoustic oscillation (BAO) scale on rest-frame dark matter halo catalogs. Our field-level constraint on is obt…
Straightening the Ruler: Field-Level Inference of the BAO Scale with LEFTfield
Ivana Babić, Fabian Schmidt, Beatriz Tucci
Current inferences of the BAO scale from galaxy clustering employ a reconstruction technique at fixed cosmology and bias parameters. Here, we present the first consistent joint Bay…
How much information can be extracted from galaxy clustering at the field level?
Nhat-Minh Nguyen, Fabian Schmidt, Beatriz Tucci +2
We present optimal Bayesian field-level cosmological constraints from nonlinear tracers of the large-scale structure, specifically the amplitude of linear matter fluctuations…
EFTofLSS meets simulation-based inference: from biased tracers
Beatriz Tucci, Fabian Schmidt
Cosmological inferences typically rely on explicit expressions for the likelihood and covariance of the data vector, which normally consists of a set of summary statistics. However…
BAO scale inference from biased tracers using the EFT likelihood
Ivana Babić, Fabian Schmidt, Beatriz Tucci
The physical scale corresponding to baryon acoustic oscillations (BAO), the size of the sound horizon at recombination, is precisely determined by CMB experiments. Measuring the ap…
Mimicking the halo-galaxy connection using machine learning
Natalí S. M. de Santi, Natália V. N. Rodrigues, Antonio D. Montero-Dorta +3
Elucidating the connection between the properties of galaxies and the properties of their hosting haloes is a key element in galaxy formation. When the spatial distribution of obje…
On the kinetic Sunyaev-Zel'dovich effect as an observational probe for halo spin bias
Antonio D. Montero-Dorta, M. Celeste Artale, L. Raul Abramo +1
We explore the potential of the kinetic Sunyaev-Zel'dovich (kSZ) effect as the cornerstone of a future observational probe for halo spin bias, the secondary dependence of halo clus…
The physical origins of low-mass spin bias
Beatriz Tucci, Antonio D. Montero-Dorta, L. Raul Abramo +2
At , higher-spin haloes with masses above have a higher bias than lower-spin haloes of the same mass. However, this…
The manifestation of secondary halo bias on the galaxy population from IllustrisTNG300
Antonio D. Montero-Dorta, M. Celeste Artale, L. Raul Abramo +6
We use the improved IllustrisTNG300 magneto-hydrodynamical cosmological simulation to revisit the effect that secondary halo bias has on the clustering of the central galaxy popula…