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ALGORITHM FOR ANALYZING THE TEMPERATURE DEPENDENCE OF MAGNETORESISTANCE OSCILLATIONS IN QUANTUM-STRUCTURED MATERIALS AND DEVELOPMENT OF ITS SOFTWARE

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Abstract

This article analyzes the temperature dependence of magnetoresistance oscillations in quantum-structured materials. Methods for processing experimental data based on the Shubnikov–de Haas effect in low-dimensional systems and comparing them with theoretical models are considered. The study proposes an algorithm for filtering magnetoresistance signals, extracting the background component, identifying the oscillatory part, and analyzing the frequency spectrum using Fourier transform. The development of software based on the proposed algorithm is discussed, which allows for automated processing and visualization of experimental data. The proposed approach serves as an effective tool for a deeper understanding of the electronic structure of quantum materials and for investigating novel functional materials.

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References

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