7. Rietveld Refinement Guide
An introduction to whole-pattern structural refinement. Learn how least-squares algorithms fit crystal parameters to scans.
Guides List
What is Rietveld Refinement?
Rietveld refinement, formulated by Hugo Rietveld in 1969, is a technique that fits a complete theoretical structure model to an entire measured powder diffraction pattern. Instead of fitting individual peaks independently, the method refines crystallographic and instrument parameters simultaneously using a least-squares approach.
The Refinement Equation
The algorithm minimizes the difference between the observed intensity (yi) and the calculated intensity (yci) at every step (i) of the diffraction scan:
Where $w_i$ is a statistical weighting factor ($w_i = 1 / y_i$). The calculated intensity is modeled as:
In this equation, s is the scale factor, Sp represents phase contributions, Lk combines the Lorentz-Polarization and multiplicity factors, Fk is the structure factor, φ is the peak profile function, Pk is the preferred orientation correction, and ybi is the background intensity.
Key Refined Parameters
During a refinement session, the user adjusts parameters in a specific sequence to prevent the least-squares solver from diverging:
- 1. Scale Factor & Background: Matches the overall intensity level and adjusts the baseline curve.
- 2. Zero-Shift & Lattice Parameters: Aligns the calculated peak positions with the experimental reflections.
- 3. Profile Parameters (U, V, W): Adjusts peak widths and shapes using Caglioti equations.
- 4. Atomic Coordinates & Site Occupancies: Modifies peak intensities by refining atom positions within the unit cell.
calculated intensity line (black)
difference residual line (blue, plotted at bottom)
Evaluating Fit Quality
The quality of the refinement is evaluated using several R-factors:
- Rwp (Weighted Profile R-factor): The most statistically meaningful indicator, representing the residual minimized by the solver.
- Rexp (Expected R-factor): The theoretically best possible fit based on data statistics.
- GoF (Goodness of Fit, $\chi^2$): Calculated as $(Rwp / Rexp)^2$. A GoF close to 1.0 indicates a statistically perfect fit.