diff --git a/wetb/hawc2/hawc2_simulation.py b/wetb/hawc2/hawc2_simulation.py
index 84b24285d0dd0d68ab96f5593bafffc7d5a76c92..f9b3f194b74828f5d533a04bf22d3541597cae86 100644
--- a/wetb/hawc2/hawc2_simulation.py
+++ b/wetb/hawc2/hawc2_simulation.py
@@ -493,9 +493,6 @@ class Hawc2_Simulation(object):
         if self.htcf is None:
             raise Exception('There is no simulation to load results from')
 
-        # Change to the htc directory
-        os.chdir(self.write_directory)
-
         # load the results
         # Check if we need to load_dummy_results
         if force_load_dummy_results:
@@ -532,6 +529,10 @@ class Hawc2_Simulation(object):
             self.results.load_dummy_data(sc_cnt,ch_cnt)
             self.using_dummy_results = True
         else:
+
+            # Change to the htc directory
+            os.chdir(self.write_directory)
+
             #print('MIMC about to load REAL results')
             file_name = self.htcf['output.filename.0']
             self.results = ReadHawc2(file_name)
diff --git a/wetb/hawc2/htc_contents.py b/wetb/hawc2/htc_contents.py
index e635619862cd768760d5df1a2c3eac3800b62348..b19eb78a4b5a6c225b5ca3243b6abd971303d80a 100644
--- a/wetb/hawc2/htc_contents.py
+++ b/wetb/hawc2/htc_contents.py
@@ -1019,6 +1019,8 @@ class HTCSensor(HTCLine):
                 return 5
             elif self.sensor in ('state_at', 'state_at2'):
                 return 7
+            elif self.sensor in ('statevec_new'):
+                return 8
             else:
                 msg='Sensor "'+str(self.sns_type)+' '+str(self.sensor)+' ..." has not been defined in the parameter count function'
                 raise Exception(msg)
@@ -1147,7 +1149,7 @@ class HTCSensor(HTCLine):
 
     def has_only_option(self):
         if self.sns_type == 'mbdy':
-            if self.sensor in ('forcevec', 'momentvec', 'state', 'state_at', 'state_at2', 'state_rot'):
+            if self.sensor in ('forcevec', 'momentvec', 'state', 'state_at', 'state_at2', 'state_rot', 'statevec_new'):
                 return True
             else:
                 msg='Sensor "'+str(self.sns_type)+' '+str(self.sensor)+' ..." has not been defined in the has only option function'
@@ -1218,6 +1220,8 @@ class HTCSensor(HTCLine):
                 else:
                     msg='Sensor "'+str(self.sns_type)+' '+str(self.sensor)+' '+str(self.values[0])+' ..." has not been defined in the sensor size function'
                     raise Exception(msg)
+            elif self.sensor == 'statevec_new':
+                return 6
             else:
                 msg='Sensor "'+str(self.sns_type)+' '+str(self.sensor)+' ..." has not been defined in the sensor size function'
                 raise Exception(msg)
diff --git a/wetb/prepost/hawcstab2.py b/wetb/prepost/hawcstab2.py
index 62f812f4b2002e50b1e6e6aa65af506da77611de..0112cdb3cb014775e6bf187f06ccf101cea64c9a 100644
--- a/wetb/prepost/hawcstab2.py
+++ b/wetb/prepost/hawcstab2.py
@@ -470,7 +470,7 @@ class ReadControlTuning(object):
             arr = np.loadtxt(fpath, skiprows=17)
             columns = ['theta', 'dq/dtheta', 'dq/dtheta_fit', 'dq/domega',
                        'dq/domega_fit']
-            self.aero_gains = pd.DataFrame(arr, columns=columns)
+            self.aero_gains = pd.DataFrame(arr, columns=columns[:arr.shape[1]])
 
         # set some parameters to zero for the linear case, or when aerodynamic
         # gain scheduling is not used
diff --git a/wetb/prepost/misc.py b/wetb/prepost/misc.py
index b6129907304a3cb7c58fef4cf63f0368315312eb..60ce298100b48891367038d4a66a1dbf8912c31a 100644
--- a/wetb/prepost/misc.py
+++ b/wetb/prepost/misc.py
@@ -741,7 +741,7 @@ def read_excel_files(proot, fext='xlsx', pignore=None, sheet=0,
                 if fext == 'csv':
                     df = pd.read_csv(f_target)
                 else:
-                    df = pd.read_excel(f_target, sheetname=sheet)
+                    df = pd.read_excel(f_target, sheet_name=sheet)
                 df_list[f_target.replace('.'+fext, '')] = df
                 if not silent:
                     print(': sucesfully included %i case(s)' % len(df))