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Constraining structure formation using EDGES
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DOI：10.1088/1475-7516/2020/04/004.png)
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Abstract
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The experiment to detect the global epoch of reionization signature (EDGES) collaboration reported the detection of a line at 78 MHz in the sky-averaged spectrum due to neutral hydrogen (HI) 21-cm hyperfine absorption of cosmic microwave background (CMB) photons at redshift z similar to 17. This requires that the spin temperature of HI be coupled to the kinetic temperature of the gas at this redshift through the scattering of Lyman-alpha photons emitted by massive stars. To explain the experimental result, star formation needs to be sufficiently efficient at z similar to 17 and this can be used to constrain models in which small-scale structure formation is suppressed (DMF models), either due to dark matter free-streaming or non-standard inflationary dynamics. We combine simulations of structure formation with a simple recipe for star formation to investigate whether these models emit enough Lyman-alpha photons to reproduce the experimental signal for reasonable values of the star formation efficiency, f(*). We find that a thermal warm dark matter (WDM) model with mass m(WDM) 4.3 keV is consistent with the timing of the signal for f(*). less than or similar to 2%. The exponential growth of structure around z similar to 17 in such a model naturally generates a sharp onset of the absorption. A warmer model with 1 m(WDM) similar to 3 keV requires a higher star formation efficiency, f(*) similar to 6%, which is a factor of few above predictions of current star formation models and observations of satellites in the Milky Way. However, uncertainties in the process of star formation at these redshifts do not allow to derive strong constrains on such models using 21-cm absorption line. The onset of the 21-cm absorption is generally slower in DMF than observed in cold dark matter (CDM) models, unless some process significantly suppresses star formation in halos with masses below similar to 10(8) h(-1) M-circle dot.
Keywords:
cosmological simulations
dark matter simulations
star formation
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