What this workflow helps you do
Fit diffraction peaks to obtain reviewed peak positions and FWHM values rather than relying on a simple detected maximum. NotyPlot supports Gaussian, Lorentzian and pseudo-Voigt profile choices, including joint handling of overlapping fit windows.
Use this workflow when
- Measuring fitted FWHM for XRD peaks.
- Resolving nearby or partially overlapping diffraction features.
- Preparing peak parameters for Scherrer, Williamson–Hall or other width-based analysis.
What you need before you start
- An XRD pattern with suitable peak sampling and a reviewed background.
- Candidate peaks that can be supported by the plotted signal.
- Instrument and wavelength information when fitted widths will be used in downstream size/strain calculations.
Step-by-step workflow
- Import the XRD pattern, inspect background and detect the candidate peaks.
- Choose the fit model: automatic, Gaussian, Lorentzian or pseudo-Voigt according to the peak shape and analysis need.
- Fit the active peaks; overlapping fit windows are handled together when required.
- Inspect fitted curves, peak centers, FWHM values and any residual mismatch rather than accepting the parameters automatically.
- Exclude peaks whose overlap, asymmetry, truncation or poor sampling makes their width unreliable.
- Export or continue with only the reviewed fitted peaks needed for downstream XRD calculations.
What to review in the result
- The fitted profile follows the measured peak across both flanks.
- Overlapping peaks are represented plausibly rather than collapsed into one width.
- The selected FWHM mode is clear for any downstream calculation.
- Poorly fitted or truncated peaks are not used simply because a numeric result exists.
Before you report or export
- Keep the chosen profile model and baseline state with the reported FWHM values.
- Correct instrumental broadening before interpreting physical broadening when required by the method.
- Use consistent fitting rules when comparing samples.
Limitations and interpretation
- A mathematical fit can converge even when the selected peak model is physically inappropriate.
- Strong asymmetry, unresolved overlap or insufficient points across a peak can make FWHM unreliable.
- Fitted FWHM is not itself a crystallite size; further assumptions and corrections are required.
