Reanalyzing DESI DR1: 1. ΛΛCDM Constraints from the Power Spectrum and Bispectrum

preprint2026arXivOpen access

Abstract

We present the first independent re-analysis of the galaxy clustering data from DESI Data Release 1, utilizing an effective field theory full-shape model. We analyze the power spectra and bispectra of the public catalogs using a custom-built pipeline based on window-deconvolved quasi-optimal estimators, accounting for a number of systematic effects. Compared to the official collaboration analysis, we add the galaxy power spectrum hexadecapole and the bispectrum monopole, and also introduce a novel stochastic estimator for fiber collisions, which facilitates robust bispectrum analyses. As a first application, we perform a full-shape analysis of the DESI power spectra and bispectra in the context of the standard cosmological model, ΛΛCDM. Using external priors on the physical baryon density and the primordial power spectrum tilt, we constrain the matter density fraction to Ωm=0.284±0.011Ω_m=0.284\pm 0.011, the Hubble constant to H0=70.7±1.1H_0=70.7\pm 1.1 km/s/Mpc, and the mass fluctuation amplitude to σ8=0.811±0.030σ_8=0.811\pm 0.030. The bispectrum sharpens constraints on σ8σ_8 and ΩmΩ_m by ≈10%\approx 10\% and shifts ΩmΩ_m by ≈1σ\approx 1σ towards the \textit{Planck} ΛΛCDM value. Combining our full-shape likelihood with the official DESI DR2 BAO measurements, cosmological parameters shift further towards the \textit{Planck} values, with Ωm=0.296±0.007Ω_m=0.296\pm 0.007, H0=68.8±0.6H_0=68.8\pm 0.6 km/s/Mpc, σ8=0.818±0.029σ_8=0.818\pm 0.029 (with tighter constraints obtained in joint analyses). Similar results are obtained in a joint analysis with DR1 BAO, accounting for the cross-covariance. Finally, the bispectrum data improves measurements of quadratic bias parameters, which are consistent with predictions from halo occupation distribution models. Our work highlights the importance of higher-order statistics and sets the stage for upcoming full-shape analyses of non-minimal cosmological models.

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