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Many researchers utilize Python or MATLAB-based toolboxes designed specifically for processing XPS data. Libraries like hyperspy or dedicated XPS fitting scripts offer transparent, reproducible peak-fitting routines using standard Gaussian-Lorentzian profiles.
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Many researchers write custom Python scripts using libraries like lmfit for highly precise, transparent, and reproducible peak fitting.
If purchasing a CasaXPS license is entirely out of reach, the open-source scientific community has developed robust, free alternatives that are legally compliant and scientifically validated.
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