The Compressed 3D Lyman-Alpha Forest Bispectrum
Roger de Belsunce, James M. Sullivan, Patrick McDonald

TL;DR
This paper extends the analysis of the Lyman-Alpha forest bispectrum by deriving theoretical predictions in effective field theory, validating them with synthetic data, and introducing new statistics suitable for DESI data analysis.
Contribution
It develops a tree-level bispectrum model for the Lyman-Alpha forest in EFT, introduces shifted skew spectra for line-of-sight analysis, and validates these methods with synthetic data.
Findings
Good agreement between theory and synthetic data for monopole and quadrupole bispectrum up to k <= 0.17 h/Mpc.
Successful implementation of shifted skew spectra for line-of-sight analysis in DESI-like data.
Analytical modeling of window functions for displaced field correlations.
Abstract
Cosmological studies of the Lyman-Alpha (Lya) forest typically constrain parameters using two-point statistics. However, higher-order statistics, such as the three-point function (or its Fourier counterpart, the bispectrum) offer additional information and help break the degeneracy between the mean flux and power spectrum amplitude, albeit at a significant computational cost. To address this, we extend an existing highly informative compression of the bispectrum, the skew spectra, to the Lya forest. We derive the tree-level bispectrum of Lya forest fluctuations in the framework of effective field theory (EFT) directly in redshift space and validate our methodology on synthetic Lya forest data. We measure the anisotropic cross-spectra between the transmitted flux fraction and all quadratic operators arising in the bispectrum, yielding a set of 26 skew spectra. Using idealized 3D Gaussian…
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