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Lyman-$\alpha$ forest data are known to be a good probe of the small scalematter power. In this paper, we explore the redshift evolution of theobservable 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 ofparameters: 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 simulatethe line-of-sight HI density and velocity fields using semi-analytic methods.The simulated effective optical depth for the alternative dark matter modelsdiverges from the $\Lambda$CDM model for $z \gtrsim 3$, which provides ameaningful probe of the matter power at small scales. Using likelihoodanalysis, we compare the simulated data with the high-resolution Lyman-$\alpha$forest data in the redshift range $2 < z < 4.2$. The analysis yields thefollowing 1$\sigma$ bounds on dark matter masses: $m_{\rm wdm} > 0.7\, {\rmkeV}$ and $m_{\rm a} > 2 \times 10^{-23} \, {\rm eV}$. To further test theefficacy of our proposed method, we simulate synthetic data sets compatiblewith the $\Lambda$CDM model in the redshift range $2 \leq z \leq 6.5$ andcompare with theory. The 1$\sigma$ bounds obtained are significantly tighter:$m_{\rm wdm} > 1.5 \, {\rm keV}$ and $m_{\rm a} > 7 \times 10^{-23} \, {\rmeV}$. Although our method provides an alternative way of constraining darkmatter models, we note that these bounds are weaker than those obtained byhigh-resolution hydrodynamical simulations.

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