snippet

nanograv · Oct 20, 2023 · 9b4739e · 9b4739e
1 parent 8db19f7
commit 9b4739e
Showing 1 changed file with 6 additions and 1 deletion.
diff --git a/src/pint/fitter.py b/src/pint/fitter.py
@@ -1308,7 +1308,12 @@ def fit_toas(
         iteration of the downhill fit (implemented in the `_fit_toas()` method).
         If free white noise parameters are present, it will fit for them by numerically
         maximizing the likelihood function (implemented in the `_fit_noise()` method).
-        The timing model fit and the noise model fit are run iteratively in an alternating fashion.
+        The timing model fit and the noise model fit are run iteratively in an alternating
+        fashion. Fitting for a white noise parameter is as simple as::
+
+            fitter.model.EFAC1.frozen = False
+            fitter.fit_toas()
+
 
         Parameters
         ==========