A computational code is developed to help identify metal absorption linesin high resolution QSO spectra,especially in the Lyα forest.The input to the codeincludes a list of line central wavelengths,column densities and Doppler widths.Thecode then searches for candidate metal absorption systems and assesses the probability that each system could be real.The framework of the strategy we employ isdescribed in detail and we discuss how to estimate the errors in line profile fitting thatare essential to identification.A series of artificial spectra is constructed to calibratethe performance of the code.Due to the effects of blending and noise on Voigt profilefitting,the completeness of the identification depends on the column density of absorbers.For intermediate and strong artificial metal absorbers,more than 90% couldbe confirmed by the code.The results of applying the code to the real spectra of QSOsHS0757+5218 and Q0100+1300 are also presented.
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