${\rm S{\scriptsize IM}BIG}$: The First Cosmological Constraints from the Non-Linear Galaxy Bispectrum
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 analyses of the same dataset. We also derive 1.4, 1.4, 1.7 tighter constraints on , , . This improvement comes from additional cosmological information in higher-order clustering on non-linear scales and, for , is equivalent to the gain expected from a standard analysis on a 4 larger galaxy sample. Even with our BOSS subsample, which only spans 10% of the full BOSS volume, we derive competitive constraints on the growth of structure: . Our constraint is consistent with results from both cosmic microwave background and weak lensing. Combined with a prior from Big Bang Nucleosynthesis, we also derive a constraint on that is consistent with early universe constraints.
Keywords
Cite
@article{arxiv.2310.15243,
title = {${\rm S{\scriptsize IM}BIG}$: The First Cosmological Constraints from the Non-Linear Galaxy Bispectrum},
author = {ChangHoon Hahn and Michael Eickenberg and Shirley Ho and Jiamin Hou and Pablo Lemos and Elena Massara and Chirag Modi and Azadeh Moradinezhad Dizgah and Liam Parker and Bruno Régaldo-Saint Blancard},
journal= {arXiv preprint arXiv:2310.15243},
year = {2023}
}
Comments
13 pages, 7 figures, submitted to PRD, comments welcome