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    Reanalyzing DESI DR1. I. ΛCDM constraints from the power spectrum and bispectrum

    Anton Chudaykin1,*, Mikhail M. Ivanov2,3,†, and Oliver H. E. Philcox4,5,6,7,‡

    • *Contact author: anton.chudaykin@unige.ch
    • †Contact author: ivanov99@mit.edu
    • ‡Contact author: ohep2@cantab.ac.uk

    Phys. Rev. D 113, 063502 – Published 2 March, 2026

    DOI: https://doi.org/10.1103/qsnt-dppc

    Abstract

    We present the first independent reanalysis 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 quasioptimal 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, Λ cold dark matter (ΛCDM). Using external priors on the physical baryon density and the primordial power spectrum tilt, we constrain the matter density fraction to Ωm=0.284±0.011, the Hubble constant to H0=70.7±1.1  km s−1 Mpc−1, and the mass fluctuation amplitude to σ8=0.811±0.030. The bispectrum sharpens constraints on σ8 and Ωm by ≈10% and shifts Ωm by ≈1σ toward the Planck ΛCDM value. Combining our full-shape likelihood with the official DESI DR2 baryon acoustic oscillation (BAO) measurements, cosmological parameters shift further toward the Planck values, with Ωm=0.296±0.007, H0=68.8±0.6  km s−1 Mpc−1, σ8=0.818±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 nonminimal cosmological models.

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