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Testing $\Lambda$CDM cosmology in a binned universe: anomalies in the deceleration parameter

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arxiv 2301.10740 v2 pith:T4FGJLM7 submitted 2023-01-25 astro-ph.CO gr-qc

classification astro-ph.COgr-qc
keywords redshiftdatabinslambdasniadecelerationdifferentdistance
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

We study the reconstructed deceleration parameter splitting the data in different redshift bins, fitting both a cosmographic luminosity distance and also assuming a flat $\Lambda$CDM model, using the Pantheon+ sample of type Ia supernova data (SNIA). We observe tensions $\sim 2\sigma-3\sigma$ for different redshift and distance indicators if the full sample is used. However, those tensions disappear when the SNIA at $z<0.008$ are removed. If the data is splitted in 2 hemispheres according to our movement w.r.t CMB, a strange $3.8 \sigma$ tension appears in one of the samples between particular redshift bins. Finally, considering posterior distribution as Gaussian, general linear model prefers a positive slope for $q_0$ across redshift bins opposed to a zero slope expected in a $\Lambda$CDM universe. We discuss possible explanations for our results and the influence of lowest redshift SNIA data in cosmological analysis.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Cosmo-Learn: code for learning cosmology using different methods and mock data

    astro-ph.CO 2025-08 conditional novelty 5.0 of 10

    An open-source toolkit that simulates late-universe cosmological observations and benchmarks MCMC, genetic algorithms, Gaussian processes, Bayesian ridge regression, and neural networks in one pipeline.

  2. DESI and SNe: Dynamical Dark Energy, $\Omega_m$ Tension or Systematics?

    astro-ph.CO 2024-12 conditional novelty 4.0 of 10

    Reconstructing Ωm from DESI's w0waCDM fits shows an SNe-driven low-redshift departure from ΛCDM, with a 3.4σ disagreement between a DES supernova subsample and DESI full-shape clustering at the same effective redshift.

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