# 21-cm observations and warm dark matter models

## TL;DR

This paper explores how 21-cm observations can inform us about warm dark matter models, showing that current bounds are weaker than other methods and that sterile neutrino models remain viable.

## Contribution

It demonstrates that 21-cm data, when considering baryonic physics, provide weaker constraints on warm dark matter than traditional structure formation methods.

## Key findings

- Current 21-cm bounds are weaker than Lyman-alpha constraints.
- Sterile neutrino dark matter models are consistent with 21-cm data.
- Holistic modeling of WDM could enhance future dark matter studies.

## Abstract

Observations of the redshifted 21-cm signal (in absorption or emission) allow us to peek into the epoch of "dark ages" and the onset of reionization. These data can provide a novel way to learn about the nature of dark matter, in particular about the formation of small size dark matter halos. However, the connection between the formation of structures and 21-cm signal requires knowledge of stellar to total mass relation, escape fraction of UV photons, and other parameters that describe star formation and radiation at early times. This baryonic physics depends on the properties of dark matter and in particular in warm-dark-matter (WDM) models, star formation may follow a completely different scenario, as compared to the cold-dark-matter case. We use the recent measurements by the EDGES [J. D. Bowman, A. E. E. Rogers, R. A. Monsalve, T. J. Mozdzen, and N. Mahesh, An absorption profile centred at 78 megahertz in thesky-averaged spectrum,Nature (London) 555, 67 (2018).] to demonstrate that when taking the above considerations into account, the robust WDM bounds are in fact weaker than those given by the Lyman-$\alpha$ forest method and other structure formation bounds. In particular, we show that resonantly produced 7 keV sterile neutrino dark matter model is consistent with these data. However, a holistic approach to modelling of the WDM universe holds great potential and may in the future make 21-cm data our main tool to learn about dark matter clustering properties.