${\rm S{\scriptsize IM}BIG}$: The First Cosmological Constraints from the Non-Linear Galaxy Bispectrum
ChangHoon Hahn, Michael Eickenberg, Shirley Ho, Jiamin Hou, Pablo, Lemos, Elena Massara, Chirag Modi, Azadeh Moradinezhad Dizgah, Liam Parker,, Bruno R\'egaldo-Saint Blancard

TL;DR
This paper introduces ${\rm SIMBIG}$, a novel framework that uses simulation-based inference to extract cosmological information from the non-linear galaxy bispectrum, providing tighter constraints than standard methods.
Contribution
The paper presents the first application of ${\rm SIMBIG}$ to cosmological constraints from the galaxy bispectrum, demonstrating its efficiency and improved precision over traditional power spectrum analyses.
Findings
Achieved tighter constraints on $\Omega_m$ and $\sigma_8$ compared to standard power spectrum analyses.
Extracted additional cosmological information from higher-order clustering on non-linear scales.
Provided competitive constraints on the growth of structure consistent with other cosmological probes.
Abstract
We present the first cosmological constraints from analyzing higher-order galaxy clustering on non-linear scales. We use , a forward modeling framework for galaxy clustering analyses that employs simulation-based inference to perform highly efficient cosmological inference using normalizing flows. It leverages the predictive power of high-fidelity simulations and robustly extracts cosmological information from regimes inaccessible with current standard analyses. In this work, we apply to a subset of the BOSS galaxy sample and analyze the redshift-space bispectrum monopole, , to . We achieve 1 constraints of and , which are more than 1.2 and 2.4 tighter than constraints from standard power spectrum…
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Taxonomy
TopicsError Correcting Code Techniques · Statistical Methods and Inference
