Speaker
Description
We use a combination of high-redshift observables to obtain constraints on exotic DM models that suppress the matter power spectrum. These observables include ultraviolet luminosity functions (UVLFs) at redshifts $2-10$ 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. To facilitate a full Bayesian likelihood analysis, we developed a machine-learning based pipeline, which is both accurate, and enables a swift statistical inference, orders of magnitude faster than a brute force approach. We extract the strongest constraints to date on the fraction of axion fuzzy dark matter (FDM) in the mass window $10^{-26}\,\mathrm{eV}\!\lesssim\! m_\mathrm{FDM}\!\lesssim\!10^{-23}\,\mathrm{eV}$. Additionally we improve the current bounds on the interaction cross section for interacting DM (IDM) models with a velocity dependent cross section.
