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PreprintCC BY 4.0arXiv

Hierarchical Gaussian-process reconstruction of late-time expansion with DESI BAO and compressed Planck priors

Abstract

We reconstruct the late-time expansion history with a hierarchical Gaussian process (GP) that co-samples the kernel hyperparameters (σf,l) together with (Hzero,Om,Ok,ωb h2). The data are 37 cosmic-chronometer H(z) points, DESI DR2 BAO, Planck 2018 compressed distance priors, and Pantheon+ supernovae, coupled by a Monte-Carlo effective likelihood. DESI's headline Chevallier--Polarski--Linder (CPL) preference at $2.8−−4.2σ$ uses the full Planck likelihood; we do not reproduce or refute that result. On this compressed-CMB pipeline the baseline posterior is w(z≃ 0)=−0.80+0.26−0.23 (68\%~C.L.), less than 1σ from w=−1, with l=3.79+0.81−1.12. A CPL fit on the same data improves nested lcdm by only Δχ2∼ 1; Akaike's criterion prefers nested lcdm (ΔAIC≃ 3), while BIC is quoted only as an indicative check for correlated supernovae. The reconstructed fDE=1 lies inside the 68\% band at every grid point with z≤ 1.6. Ablations that fix (σf,l), drop SN or LRG1/2 BAO, replace the radial-basis kernel by a Matérn family, swap the SN catalogue (Union3, DES-Y5, DES-Dovekie), or nest a residual GP around lcdm leave the median w(0) within ≲ 1σ of −1.

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BibTeX
@misc{li2026hierarchical,
  title = {{Hierarchical Gaussian-process reconstruction of late-time expansion with DESI BAO and compressed Planck priors}},
  author = {Enkun Li and Yu-Hao Mu and Zhihuan Zhou},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2607.23593},
  eprint = {2607.23593},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2607.23593},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Hierarchical Gaussian-process reconstruction of late-time expansion with DESI BAO and compressed Planck priors
AU  - Enkun Li
AU  - Yu-Hao Mu
AU  - Zhihuan Zhou
PY  - 2026
DA  - 2026/09/19
PB  - arXiv
DO  - 10.48550/arxiv.2607.23593
UR  - https://arxiv.org/abs/2607.23593
AB  - We reconstruct the late-time expansion history with a hierarchical Gaussian process (GP) that co-samples the kernel hyperparameters (σ_f,l) together with (Hzero,Om,Ok,ω_b h^2). The data are 37 cosmic-chronometer H(z) points, DESI DR2 BAO, Planck 2018 compressed distance priors, and Pantheon+ supernovae, coupled by a Monte-Carlo effective likelihood. DESI's headline Chevallier--Polarski--Linder (CPL) preference at $2.8−−4.2σ$ uses the full Planck likelihood; we do not reproduce or refute that result. On this compressed-CMB pipeline the baseline posterior is w(z≃ 0)=−0.80^+0.26_−0.23 (68\%~C.L.), less than 1σ from w=−1, with l=3.79^+0.81_−1.12. A CPL fit on the same data improves nested lcdm by only Δχ^2∼ 1; Akaike's criterion prefers nested lcdm (ΔAIC≃ 3), while BIC is quoted only as an indicative check for correlated supernovae. The reconstructed f_DE=1 lies inside the 68\% band at every grid point with z≤ 1.6. Ablations that fix (σ_f,l), drop SN or LRG1/2 BAO, replace the radial-basis kernel by a Matérn family, swap the SN catalogue (Union3, DES-Y5, DES-Dovekie), or nest a residual GP around lcdm leave the median w(0) within ≲ 1σ of −1.
ER  -