raman-fitting

Graphene Raman peak parameters are extracted by applying baseline subtraction and fitting D, G, and 2D peaks using Lorentzian, Gaussian, or Voigt models to output centers, FWHMs, and intensities.

Baseline drift in Raman spectroscopy data is handled through baseline correction and background subtraction prior to fitting, ensuring accurate quantification of peak parameters like positions and widths.

A Voigt profile is used for Raman peak analysis when modeling the convolution of Gaussian and Lorentzian broadening, providing physically meaningful bounds for fitting overlapping carbon material features.

Yes, you can extract FWHM and intensity values for the 2D peak in carbon materials, as the fitting workflow validates and reports peak centers, widths, and intensities with literature value comparisons.

Raman peak fitting works with overlapping spectral features by applying multi-peak fitting with physically meaningful bounds to deconvolute D, G, and 2D peaks, outputting robust goodness-of-fit metrics.