diff --git a/peyote/sampler.py b/peyote/sampler.py
index 295fc957f635983355cd7ab1b73e76c64794b82f..a40c6b397f0557427ae2458bff46b9c4442d85a5 100644
--- a/peyote/sampler.py
+++ b/peyote/sampler.py
@@ -75,9 +75,7 @@ class Sampler:
         self.import_external_sampler()
 
         self.active_parameter_values = self.prior.__dict__.copy()
-        del self.active_parameter_values['name']
-        del self.active_parameter_values['frequency_array']
-        del self.active_parameter_values['time_array']
+
         self.search_parameter_keys = []
         self.ndim = 0
         self.initialise_parameters()
@@ -143,7 +141,6 @@ class Sampler:
     def loglikelihood(self, theta):
         for i, k in enumerate(self.search_parameter_keys):
             self.likelihood.source.__dict__[k] = theta[i]
-#        print(self.likelihood.source.luminosity_distance)
         return self.likelihood.log_likelihood()
 
     def run_sampler(self):
diff --git a/tutorials/BasicTutorial.py b/tutorials/BasicTutorial.py
index 14231e8d08aaaee9e38ae791cc2ef365f3016cca..ced6c157921a766719ce361d337435fc2fcde718 100644
--- a/tutorials/BasicTutorial.py
+++ b/tutorials/BasicTutorial.py
@@ -56,9 +56,9 @@ prior = source.copy()
 prior.mass_1 = peyote.parameter.Parameter(
     'mass_1', prior=peyote.prior.Uniform(lower=35, upper=37),
     latex_label='$m_1$')
-prior.mass_2 = peyote.parameter.Parameter(
-    'mass_2', prior=peyote.prior.Uniform(lower=27, upper=31),
-    latex_label='$m_2$')
+# prior.mass_2 = peyote.parameter.Parameter(
+#     'mass_2', prior=peyote.prior.Uniform(lower=27, upper=31),
+#     latex_label='$m_2$')
 #prior.iota = peyote.parameter.Parameter(
 #    'iota', prior=peyote.prior.Uniform(lower=0, upper=np.pi),
 #    latex_label='$iota$')