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In search of an interaction in the dark sector through Gaussian Process and ANN approaches

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arxiv 2505.04336 v2 pith:J72YL53R submitted 2025-05-07 astro-ph.CO gr-qc

Mazaharul Abedin , Guo-Jian Wang , Yin-Zhe Ma , Supriya Pan This is my paper · ORCID
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keywords darkinteractionsectorapproachesdataevidencefindgaussian
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abstract

Whether the current observational data indicate any evidence of interaction between the dark sector is a matter of supreme interest at the present moment. This article searched for an interaction in the dark sector between a pressure-less dark matter and a dark energy fluid with constant equation of state, $w_{\rm DE}$. For this purpose, two non-parametric approaches, namely, the Gaussian Process (GP) and the Artificial Neural Networks (ANN) have been employed and using the Hubble data from Cosmic Chronometers (CC), Pantheon+ from Supernovae Type Ia and their combination we have reconstructed the interaction function. We find that for $w_{\rm DE} =-1$, the interaction in the dark sector is not prominent while for $w_{\rm DE} \neq -1$, evidence of interaction is found depending on the value of $w_{\rm DE}$. In particularly, we find that if we start deviating from $w_{\rm DE} = -1$ either in the quintessence ($w_{\rm DE} > -1$) or phantom ($w_{\rm DE} < -1$) direction, an emergence of dark interaction is observed from both GP and ANN reconstructions. We further note that ANN which is applied for the first time in this context seems to play a very efficient role compared to GP.

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Cited by 5 Pith papers

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

  1. Breaking the Dark Sector Degeneracy with Nonparametric Expansion--Growth Reconstruction

    astro-ph.CO 2026-07 unverdicted novelty 6.0 of 10

    Joint nonparametric expansion–growth reconstruction finds no significant dark-sector interaction or dark-energy dynamics, remaining consistent with ΛCDM over 0≲z≲2.

  2. How Holographic is the Dark Energy? A Spline Nodal reconstruction approach

    astro-ph.CO 2025-07 conditional novelty 5.0 of 10

    A three-node spline reconstruction of holographic dark energy improves chi-squared over LambdaCDM by about 10 to 12, but Bayesian evidence gives no clear preference.

  3. Constraints on Barrow and Tsallis Holographic Dark Energy from DESI DR2 BAO data

    gr-qc 2025-06 conditional novelty 5.0 of 10

    Barrow and Tsallis holographic dark energy models fit DESI DR2 data but are disfavored by information criteria versus LambdaCDM and do not ease the Hubble tension.

  4. Dark Energy Is Not That Into You: Variable Couplings after DESI DR2 BAO

    astro-ph.CO 2025-08 conditional novelty 4.0 of 10

    With DESI DR2 data, one interacting dark sector model with a time-dependent coupling shows a nonzero coupling at more than 95% CL, but Bayesian evidence still favors Lambda-CDM.

  5. Constraint on Symmetric Teleparallel Gravity with Different Dark energy Parametrizations from DESI DR2 BAO Data

    gr-qc 2025-07 reject novelty 4.0 of 10

    MCMC fits of CPL and BA dark energy parametrizations in power-law f(Q) gravity to DESI DR2 and prior BAO H(z) data find statistically competitive or better fits than Lambda-CDM.

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