Profiling Cold New Early Dark Energy
Juan S. Cruz, Steen Hannestad, Emil Brinch Holm, Florian Niedermann,, Martin S. Sloth, Thomas Tram

TL;DR
This paper performs a frequentist profile likelihood analysis of the NEDE cosmological model, constraining its parameters and showing it alleviates the Hubble tension more strongly than Bayesian methods.
Contribution
It introduces a frequentist approach to constrain NEDE parameters, providing new insights into prior effects and model comparison with EDE.
Findings
NEDE fraction constrained to about 7.6% without SH0ES prior
Including SH0ES prior increases NEDE fraction to about 13.6%
NEDE model alleviates Hubble tension, with H0 around 69.6 to 71.6 km/s/Mpc
Abstract
Recent interest in New Early Dark Energy (NEDE), a cosmological model with a vacuum energy component decaying in a triggered phase transition around recombination, has been sparked by its impact on the Hubble tension. Previous constraints on the model parameters were derived in a Bayesian framework with Markov-chain Monte Carlo (MCMC) methods. In this work, we instead perform a frequentist analysis using the profile likelihood in order to assess the impact of prior volume effects on the constraints. We constrain the maximal fraction of NEDE , finding at CL with our baseline dataset and similar constraints using either data from SPT-3G, ACT or full-shape large-scale structure, showing a preference over CDM even in the absence of a SH0ES prior on . While this is stronger evidence for NEDE than obtained with…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
