Bounded Dark Energy

Fuente: arXiv
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Hauptverfasser: Borghetto, Giulia, Malhotra, Ameek, Tasinato, Gianmassimo, Zavala, Ivonne
Format: Preprint
Veröffentlicht: 2025
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author Borghetto, Giulia
Malhotra, Ameek
Tasinato, Gianmassimo
Zavala, Ivonne
author_facet Borghetto, Giulia
Malhotra, Ameek
Tasinato, Gianmassimo
Zavala, Ivonne
contents Recent cosmological observations suggest that the dark energy equation of state may have changed in the latter stages of cosmic history. We introduce a quintessence scenario, termed bounded dark energy, capable of explaining this feature in a technically natural way. Our approach is motivated from a bottom-up perspective, based on the concept of mirage cut-off, where we demonstrate the stability of the quintessence potential against large quantum corrections. At the same time, the bounded dark energy framework aligns well with top-down considerations motivated from quantum gravity arguments. We employ both human-driven insights and machine learning techniques to identify explicit realizations of bounded dark energy models. We then perform an analysis based on Markov Chain Monte-Carlo to assess their predictions against CMB, galaxy surveys, and supernova data, showing that bounded dark energy provides a good fit to current observations. We also discuss how upcoming measurements can further test and refine our proposal.
format Preprint
id arxiv_https___arxiv_org_abs_2503_11628
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Bounded Dark Energy
Borghetto, Giulia
Malhotra, Ameek
Tasinato, Gianmassimo
Zavala, Ivonne
Cosmology and Nongalactic Astrophysics
High Energy Physics - Theory
Recent cosmological observations suggest that the dark energy equation of state may have changed in the latter stages of cosmic history. We introduce a quintessence scenario, termed bounded dark energy, capable of explaining this feature in a technically natural way. Our approach is motivated from a bottom-up perspective, based on the concept of mirage cut-off, where we demonstrate the stability of the quintessence potential against large quantum corrections. At the same time, the bounded dark energy framework aligns well with top-down considerations motivated from quantum gravity arguments. We employ both human-driven insights and machine learning techniques to identify explicit realizations of bounded dark energy models. We then perform an analysis based on Markov Chain Monte-Carlo to assess their predictions against CMB, galaxy surveys, and supernova data, showing that bounded dark energy provides a good fit to current observations. We also discuss how upcoming measurements can further test and refine our proposal.
title Bounded Dark Energy
topic Cosmology and Nongalactic Astrophysics
High Energy Physics - Theory
url https://arxiv.org/abs/2503.11628