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September 24, 20250 citationsOpen Access

Frequentist Cosmological Constraints from Full-Shape Clustering Measurements in DESI DR1

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JMJames MorawetzHZHanyu ZhangMBMarco Bonici

Key Points

  • Frequentist confidence intervals for cosmological parameters have been established from DESI data, and show notable variations in values compared to Bayesian approaches.
  • The analysis reveals that Bayesian priors significantly affect the $w_0w_a$CDM model, while frequentist methods show more stable intervals.
  • Applying the full-shape power spectrum multipoles and BAO measurements from DESI data allows comprehensive parameter fitting for cosmological models.
  • The study highlights the need to consider different inference methods to better understand cosmological constraints, particularly with respect to model assumptions.

Abstract

We perform a frequentist analysis using the standard profile likelihood method for clustering measurements from Data Release 1 of the Dark Energy Spectroscopic Instrument (DESI). While Bayesian inferences for Effective Field Theory models of galaxy clustering can be highly sensitive to the choice of priors for extended cosmological models, frequentist inferences are not susceptible to such effects. We compare Bayesian and frequentist constraints for the parameter set \σ₈, H₀, Ω₌, w₀, wₐ\ when fitting to the full-shape of the power spectrum multipoles, the post-reconstruction Baryon Acoustic Oscillation (BAO) measurements, as well as external datasets from the CMB and type Ia supernovae measurements. Bayesian prior effects are very significant for the w₀wₐCDM model; while the 1 σ frequentist confidence intervals encompass the maximum a posteriori (MAP), the Bayesian credible intervals almost always exclude the maximum likelihood estimate (MLE) and the MAP - indicating strong prior volume projection effects - unless supernovae data are included. We observe limited prior effects for the ΛCDM model, due to the reduced number of parameters. When DESI full-shape and BAO data are jointly fit, we obtain the following 1σ frequentist confidence intervals for ΛCDM (w₀wₐCDM): σ₈ = 0. 867^+0. 048-₀. ₀₄₁, \ H₀ = 68. 91^+0. 80-₀. ₇₉ \ km \ s^-1Mpc^{-1}, \ Ω₌ = 0. 30380. 0110 (σ₈ = 0. 793^+0. 069-₀. ₀₄₈, \ H₀ = 64. 9^+4. 8-₂. ₈ \ km \ s^-1Mpc^{-1}, \ Ω₌ = 0. 369^+0. 029-₀. ₀₅₉, w₀ = -0. 24^+0. 17-₀. ₆₄, wₐ = -2. 5^+1. 9_), corresponding to 0. 7σ, 0. 3σ, 0. 7σ (1. 9σ, 3. 4σ, 5. 6σ, 5. 5σ, 5. 6σ) shifts between the MLE relative to the Bayesian posterior mean for ΛCDM (w₀wₐCDM) respectively.

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Cite This Study

Morawetz et al. (2025) studied this question.

synapsesocial.com/papers/68d6e16f8b2b6861e4c401aehttps://doi.org/10.48550/arxiv.2508.11811
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