Using the redshift evolution of the Lyman-$\alpha$ effective opacity as a probe of dark matter models

TL;DR

This paper investigates how the redshift evolution of the Lyman-alpha effective optical depth can distinguish between different small-scale dark matter models, providing new constraints on warm dark matter and ultra-light axion masses.

Contribution

It introduces a semi-analytic method to use Lyman-alpha forest data for constraining dark matter models, offering an alternative to hydrodynamical simulations.

Findings

1σ bounds: $m_{wdm} > 0.7$ keV and $m_a > 2 imes 10^{-23}$ eV from real data.

Tighter bounds: $m_{wdm} > 1.5$ keV and $m_a > 7 imes 10^{-23}$ eV from simulated data.

Method provides a complementary approach to existing constraints, albeit with weaker bounds.

Abstract

Lyman-$\alpha$ forest data are known to be a good probe of the small scale matter power. In this paper, we explore the redshift evolution of the observable effective optical depth $\tau_{\rm eff} (z)$ from the Lyman-$\alpha$ data as a discriminator between dark matter models that differ from the $\Lambda$CDM model on small scales. We consider the thermal warm dark matter (WDM) and the ultra-light axion (ULA) models for the following set of parameters: the mass of ULA, $m_a \simeq 10^{-24}\hbox{--}5 \times 10^{-22} \, \rm eV$ and WDM mass, $m_{\rm wdm} = 0.1 \hbox{--} 4.6 \, \rm keV$. We simulate the line-of-sight HI density and velocity fields using semi-analytic methods. The simulated effective optical depth for the alternative dark matter models diverges from the $\Lambda$CDM model for $z \gtrsim 3$, which provides a meaningful probe of the matter power at small scales. Using likelihood analysis, we compare the simulated data with the high-resolution Lyman-$\alpha$ forest data in the redshift range $2 < z < 4.2$. The analysis yields the following 1$\sigma$ bounds on dark matter masses: $m_{\rm wdm} > 0.7\, {\rm keV}$ and $m_{\rm a} > 2 \times 10^{-23} \, {\rm eV}$. To further test the efficacy of our proposed method, we simulate synthetic data sets compatible with the $\Lambda$CDM model in the redshift range $2 \leq z \leq 6.5$ and compare with theory. The 1$\sigma$ bounds obtained are significantly tighter: $m_{\rm wdm} > 1.5 \, {\rm keV}$ and $m_{\rm a} > 7 \times 10^{-23} \, {\rm eV}$. Although our method provides an alternative way of constraining dark matter models, we note that these bounds are weaker than those obtained by high-resolution hydrodynamical simulations.