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In this paper, an expert system is presented that was developed with the aim to analyze threshold spectra experimentally obtained using backward chaining method of inference. With this way the process of spectra analysis was speeded up and automated. The spectrum usefulness, energy scale calibration, identification of peaks in spectrum, as well as identification of peaks by resonant influence was made possible with this expert system.

We analyzed the influence of magnetic component of the laser field on the tunneling yield, in a strong near-relativistic field for a squared hyperbolic secant pulse distribution. The obtained results indicate that the inclusion of the magnetic component is necessary in the observed regime.

The electron method spectroscopy consists in the detection of very low energy electrons formed in electron–molecule collisions. The advantage of this method over the method of optical spectroscopy lies in the possibility to study optically forbidden states, so the complexity of spectrum rises steeply, which makes its analysis more difficult. Besides electron states, there are also a vibrational states in threshold spectra analysis, and those had to be identified and classified. This paper presents an expert system developed to automate, speed up and improve the N 2 threshold spectra analysis.