diff --git a/examples/scripts/gitt_scipymin.py b/examples/scripts/gitt.py
similarity index 96%
rename from examples/scripts/gitt_scipymin.py
rename to examples/scripts/gitt.py
index 13d0cd50f..792436d90 100644
--- a/examples/scripts/gitt_scipymin.py
+++ b/examples/scripts/gitt.py
@@ -9,7 +9,7 @@
 )
 
 # Generate data
-sigma = 0.001
+sigma = 0.005
 t_eval = np.arange(0, 150, 2)
 values = model.predict(t_eval=t_eval)
 corrupt_values = values["Voltage [V]"].data + np.random.normal(0, sigma, len(t_eval))
@@ -63,7 +63,7 @@
 cost = pybop.RootMeanSquaredError(problem)
 
 # Build the optimisation problem
-optim = pybop.Optimisation(cost=cost, optimiser=pybop.SciPyMinimize)
+optim = pybop.Optimisation(cost=cost, optimiser=pybop.PSO, verbose=True)
 
 # Run the optimisation problem
 x, final_cost = optim.run()