We present cosmological constraints from a simulation-based inference (SBI) analysis of
galaxy clustering from the SimBIG forward modeling framework. SimBIG leverages the …

Abstract Simulation-Based Inference of Galaxies (SimBIG) is a forward modeling framework
for analyzing galaxy clustering using simulation-based inference. In this work, we present …

We present a clustering analysis of the BOSS DR12 CMASS galaxy sample, combining
measurements of the galaxy two-point correlation function and density-split clustering down …

We present the cosmological constraints from analyzing higher-order galaxy clustering on
small nonlinear scales. We use SimBIG, a forward modeling framework for galaxy clustering …

We perform a reanalysis of the BOSS CMASS DR12 galaxy dataset using a simulation-
based emulator for the wavelet scattering transform (WST) coefficients. Moving beyond our …

The non-Gaussian spatial distribution of galaxies traces the large-scale structure of the
Universe and therefore constitutes a prime observable to constrain cosmological …

Extracting the non-Gaussian information of the cosmic large-scale structure (LSS) is vital in
unlocking the full potential of the rich datasets from the upcoming stage-IV galaxy surveys …

The characteristic signatures of massive neutrinos on large-scale structure (LSS), if fully
captured, can be used to put a stringent constraint on their mass sum, M ν. Previous work …

We introduce the parity-odd power (POP) spectra, a novel set of observables for probing
parity violation in cosmological N-point statistics. POP spectra are derived from composite …

We present the first application of the weighted skew-spectra to analyze non-Gaussian
information in galaxy survey data. Using the tree-level galaxy skew-spectra together with the …