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

TL;DR
This paper demonstrates that redshift-space galaxy skew spectra, analyzed with advanced modeling and inference techniques, provide improved cosmological parameter constraints from SDSS-III BOSS data, especially on matter density and Hubble parameter.
Contribution
First application of full redshift-space galaxy skew spectra to real data, using forward modeling and normalizing flows for cosmological inference, extending beyond previous power spectrum analyses.
Findings
Improved constraints on $ m \Omega_m$, $ m \\Omega_b$, $h$, and $n_s$ by 10-35% compared to power spectrum results.
Skew spectra constraints on $ m \\sigma_8$ are weaker than power spectrum constraints.
Including BBN prior on baryon density further reduces uncertainty on the Hubble parameter.
Abstract
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. Galaxy skew spectra serve as efficient beyond-two-point statistics, encapsulating essential bispectrum information with computational efficiency akin to power spectrum analysis. This paper presents the first cosmological constraints from analyzing the full set of redshift-space galaxy skew spectra of the data from the SDSS-III BOSS, accessing cosmological information down to nonlinear scales. Employing the forward modeling framework and simulation-based inference via normalizing flows, we analyze the CMASS-SGC sub-sample, which constitute approximately 10\% of the full BOSS data. Analyzing the scales up to , we find that the skew spectra…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Blind Source Separation Techniques
