percent achieved by [trunk-1]{}. The upper panel in Figure \[matching\_lista1\] shows the level of matching achieved when the identification is performed solely based on the line position. A good matching is only possible when the identification window is set to the smallest value ($\Delta\lambda_0=10^{-4}$ Å). For wider windows the quality of the identification becomes rapidly poor. A much better performance is achieved when, in addition to line positions, line strengths are also compared with the theoretical predictions. This agreement is shown in the lower panel of Figure \[matching\_lista1\], where is clear that the full [trunk-1]{} method is capable to correctly identify no less of 90% of the lines, even for the largest identification window considered ($\Delta\lambda_0=0.2$ Å).

The synthetic spectra discussed above contains 239 absorption lines produced with the MIP (wabs 1), and 115 lines produced with the LIP (wabs 2). Although the identification is somewhat better for the lines produced in the absorption component with the smaller redshift (wabs 1), these results indicate that our algorithm can be successfully implemented to real X-ray observations where complex mixture of absorption components can be present. Figure \[isolated\_L1\] shows the 11–12 Å band of the synthetic spectra, where the known absorption features 