53 citations · 115 across the 6 of their papers we have counts for
7 papers
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…
On the Relation Between Field-Level Posteriors, Correlators, and their Likelihoods
Massimo Pietroni, Fabian Schmidt
We develop a field-level posterior for cosmological data by marginalizing over initial conditions and noise in a general forward model. While our focus is on large-scale structure…
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…
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…
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…