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The evolution of peak profiles in synchrotron X-ray diffraction (SXRD) data can tell us how the internal crystallographic structures of metals change during applied heating, high temperature straining and cooling cycles (Canelo-Yubero et al., 2016; Daniel, Nguyen, Atkinson, & Quinta da Fonseca, 2019; Hu, Sun, Hector, & Ren, 2017; Stark et al., 2015), which is invaluable information used to improve industrial processing routes (Salem, Glavicic, & Semiatin, 2008). The experiment requires a beamline, at a synchrotron radiation facility such as Diamond Light Source (Diamond Light Source Ltd, 2020), to produce a high energy X-ray beam and illuminate a polycrystalline sample (Daniel et al., 2019). The results are recorded in the form of timeresolved diffraction pattern rings, which are converted into a spectra of intensity peaks versus two-theta angle for a given direction (Ashiotis et al., 2015; Filik et al., 2017; Hammersley, Svensson, Hanfland, Fitch, & Hausermann, 1996). However, since many intensity profiles are collected during each experiment, with detectors recording at speeds greater than 250 Hz (DECTRIS detecting the future, 2020; Loeliger et al., 2012), fitting each of the individual lattice plane peaks can take a long time using current available software (Basham et al., 2015; Hammersley, 2016; Merkel & Hilairet, 2015).

xrdfit: A Python package for fitting synchrotron X-ray diffraction spectra