Read the result¶

Inspect the pattern, parameter values and uncertainties together. Agreement factors summarize a fit; they do not replace a scientific assessment of the model.

Summary and status¶

For a single or joint powder fit:

result = project.analysis.fit()

print(result.status.name)
print(result.iterations)
print(result.rwp)
print(result.reduced_chi_square)

Check the status before interpreting a result as converged. Rwp and reduced χ² depend on the data, uncertainties, fitted range and free parameters. See fit quality for the shared interpretation.

Values and uncertainties¶

The single/joint fit result exposes labelled parameter values and their uncertainties:

for label, value in result.values.items():
    uncertainty = result.uncertainty.get(label)
    print(label, value, uncertainty)

An absent uncertainty is kept as None in this example; it is not replaced with zero. A small numerical uncertainty should still be considered alongside the model's assumptions and parameter correlations.

Several banks¶

for bank in result.banks:
    print(bank.name, bank.rwp)

Per-bank information helps identify a mismatch hidden by a combined summary.

Scan results¶

Sequential and independent modes produce one record per measured file and keep scan progress under analysis/. Use the scan's result table and the report's evolution view to follow changing parameters. The single/joint snippets above are not a complete scan-result reference.

Save evidence with the model¶

Prepare an interactive report for inspection and save the project when you want the fitted values to persist. Reopening the project provides the editable model behind the report.