peak fitting algorithms

Peak fitting algorithms are techniques used to analyze complex signals that contain multiple overlapping features, called "peaks." They work by modeling these peaks with mathematical functions (like Gaussian or Lorentzian shapes) to accurately determine their positions, sizes, and shapes. This helps scientists interpret data from various fields such as spectroscopy or chromatography, where identifying specific signal components is important. By fitting the observed data to these models, the algorithms provide precise measurements of each peak’s characteristics, even when peaks are close together or overlapping, enabling detailed analysis of the underlying information.