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Dynamical dark energy in light of cosmic distance measurements I: a demonstration using simulated datasets

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arxiv 2404.06303 v3 pith:LDR7FQ5Y submitted 2024-04-09 astro-ph.CO

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keywords energydarkcosmicdistancemeasurementsdatasetsdynamicalsimulated
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We develop methods to extract key dark energy information from cosmic distance measurements including the BAO scales and supernovae luminosity distances. Demonstrated using simulated datasets of the complete DESI, LSST and Roman surveys designed for BAO and SNe distance measurements, we show that using our method, the dynamical behaviour of the energy, pressure, equation of state (with its time derivative) of dark energy and the cosmic deceleration function can all be accurately recovered from high-quality data, which allows for robust diagnostic tests for dark energy models.

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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. The DESI DR1/DR2 evidence for dynamical dark energy is biased by low-redshift supernovae

    astro-ph.CO 2025-02 conditional novelty 5.0 of 10

    The DESI dynamical dark energy preference drops below 2 sigma after correcting a 0.043 mag intercept discrepancy in the low-redshift supernovae of DESY5.

  2. Dark energy and lensing anomaly in Planck CMB data

    astro-ph.CO 2025-02 conditional novelty 4.0 of 10

    When the Planck lensing amplitude AL is fitted freely, DESI+CMB+SN data no longer prefer evolving dark energy, and DESI BAO's lower matter density worsens the lensing anomaly in LambdaCDM.

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