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

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Main Authors: Abedin, Mazaharul, Wang, Guo-Jian, Ma, Yin-Zhe, Pan, Supriya
Format: Preprint
Published: 2025
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author Abedin, Mazaharul
Wang, Guo-Jian
Ma, Yin-Zhe
Pan, Supriya
author_facet Abedin, Mazaharul
Wang, Guo-Jian
Ma, Yin-Zhe
Pan, Supriya
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_04336
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle In search of an interaction in the dark sector through Gaussian Process and ANN approaches
Abedin, Mazaharul
Wang, Guo-Jian
Ma, Yin-Zhe
Pan, Supriya
Cosmology and Nongalactic Astrophysics
General Relativity and Quantum Cosmology
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.
title In search of an interaction in the dark sector through Gaussian Process and ANN approaches
topic Cosmology and Nongalactic Astrophysics
General Relativity and Quantum Cosmology
url https://arxiv.org/abs/2505.04336