Constraints on the fuzzy dark matter mass window from high-redshift observables
Hovav Lazare, Jordan Flitter, Ely D. Kovetz

TL;DR
This study combines multiple high-redshift observations and advanced modeling to place the strongest constraints to date on the fraction of fuzzy dark matter within a specific mass range, highlighting the potential of future 21cm measurements.
Contribution
It introduces a machine-learning pipeline for rapid Bayesian inference and provides new, tighter constraints on fuzzy dark matter mass and fraction using diverse high-redshift data.
Findings
FDM of mass 10^{-23} eV constitutes less than 16% of dark matter.
Constraints tighten to 1% for FDM mass 10^{-26} eV.
Future 21cm observations could reduce the upper bound to below 1%.
Abstract
We use a combination of high-redshift observables to extract the strongest constraints to date on the fraction of axion fuzzy dark matter (FDM) in the mass window . These observables include ultraviolet luminosity functions (UVLFs) at redshifts measured by the Hubble Space Telescope, a constraint on the neutral hydrogen fraction from high-redshift quasar spectroscopy, the cosmic microwave background optical depth to reionization measurement from Planck and upper bounds on the 21cm power spectrum from HERA. In order to calculate these signals for FDM cosmology, we use the 21cmFirstCLASS code to interface between AxiCLASS and 21cmFAST and consistently account for the full cosmic history from recombination to reionization. To facilitate a full Bayesian likelihood analysis, we developed a…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Dark Matter and Cosmic Phenomena · Cosmology and Gravitation Theories
