Dark energy, spatial curvature, and star formation efficiency from JWST photometric and spectroscopic high-redshift galaxies
Leonardo Comini, Sunny Vagnozzi, Abraham Loeb

TL;DR
This study uses Bayesian analysis of JWST high-redshift galaxy data to investigate whether the observed galaxy abundance indicates new physics or enhanced star formation efficiency, finding astrophysical explanations more likely.
Contribution
It provides a comprehensive Bayesian approach to constrain cosmological parameters and star formation efficiency, considering models beyond flat $ mf extit{ extLambda} CDM$.
Findings
CEERS sample yields a weak lower limit of $ m f extepsilon extgreater 0.07$
FRESCO sample requires $ m f extepsilon extgreater 0.5$ at 2$ m f extsigma$
Results are consistent across models with varying $w$ and $ m f extOmega_K$
Abstract
Early observations from the James Webb Space Telescope (JWST) have revealed an overabundance of massive high-redshift galaxies, raising the question of whether this points to new physics beyond CDM, or an enhanced formation efficiency of massive stars. We revisit this issue going beyond earlier analyses based on direct comparisons to theoretical bounds at a fixed cosmology, by performing a full Bayesian analysis of the most extreme galaxies in the CEERS imaging and FRESCO spectroscopic samples, jointly constraining cosmological parameters and the baryon-to-star conversion efficiency . We do so not only within the spatially flat CDM model, but also in models where the dark energy equation of state and/or the spatial curvature parameter are allowed to vary, carefully discussing the impact of both and on the cumulative comoving…
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