PyMossFit: A Google Colab Option for Mössbauer Spectra Fitting

This article introduces the main characteristics of PyMossFit, a software for Mössbauer spectra fit. It is explained how each utility of their code sections works. Based on the Lmfit python package, it is a robust data fitting tool. Designed to run as a Jupyter notebook at the Google Colab cloud, it also allows us to work from multiple devices and operating systems. Additionally, it facilitates that fitting procedure can be performed in a collaborative way by researchers.The software performs the folding of raw data with a discrete Fourier transform. Data smoothing is available with the use of a Savitzky-Golay algorithm. Likewise, a K-nearest neighbor algorithm helps us to determine the present phases by matching the correlations of hyperfine parameters from a local database.