diff --git a/examples/example.config b/examples/example.config
index 60fc441..1ff1426 100644
--- a/examples/example.config
+++ b/examples/example.config
@@ -47,4 +47,9 @@ F_ESC10             : 3.0
 ALPHA_ESC           : 3.0
 L_X                 : 0.1
 M_TURN              : 3.0
-NU_X_THRESH         : 3.0
\ No newline at end of file
+NU_X_THRESH         : 3.0
+
+
+[cosmo_params]
+
+[cosmo_params_vary]
\ No newline at end of file
diff --git a/examples/fisher.ipynb b/examples/fisher.ipynb
index 4100561..dde0cfe 100644
--- a/examples/fisher.ipynb
+++ b/examples/fisher.ipynb
@@ -32,7 +32,7 @@
    "outputs": [],
    "source": [
     "configuration_file = \"/scratch/ulb/physth_fi/gfacchin/runs_21cmCAST/config/constraint_nobkr.config\"\n",
-    "p21c.init_runs_from_fiducial(configuration_file, clean_existing_dir=False)"
+    "p21c.init_runs(configuration_file, clean_existing_dir=False)"
    ]
   },
   {
diff --git a/src/py21cmcast/__init__.py b/src/py21cmcast/__init__.py
index 0bd9c79..c83bfee 100644
--- a/src/py21cmcast/__init__.py
+++ b/src/py21cmcast/__init__.py
@@ -24,6 +24,8 @@
     prepare_plot,
     prepare_2subplots,
     prepare_triangle_plot,
+    confidence_ellipse,
+    ellipse_from_covariance,
 )
 
 from .power import (
diff --git a/src/py21cmcast/runs.py b/src/py21cmcast/runs.py
index bded03d..2f963bc 100644
--- a/src/py21cmcast/runs.py
+++ b/src/py21cmcast/runs.py
@@ -449,6 +449,7 @@ def run_lightcone_from_config(config_file: str, n_omp: int = None, random_seed:
     astro_params    = p21c_tools.read_config_params(config.items('astro_params'), int_type=False)
     cosmo_params    = p21c_tools.read_config_params(config.items('cosmo_params'), int_type=False)
 
+
     # manually set the number of threads
     if n_omp is not None: 
         user_params['N_THREADS'] = int(n_omp)
diff --git a/src/py21cmcast/tools.py b/src/py21cmcast/tools.py
index 22ac815..c5d7c64 100644
--- a/src/py21cmcast/tools.py
+++ b/src/py21cmcast/tools.py
@@ -117,6 +117,7 @@ def read_config_params(config_items, int_type = True, allow_lists = False):
                 else:
                     cast_val = float(value)
         except:
+                
             if value == 'True':
                 cast_val =  True
             elif value == 'False':
@@ -332,11 +333,14 @@ def ellipse_from_covariance(cov_matrix, fiducial):
     'LOG10_TK_at_Z_HEAT_MAX'   : {'tex_name' : r'\log_{10}[\frac{\bar T_K^{\rm init}}{\rm K}]', 'min': -2, 'max': 1,  'ticks' : []},
     'OMm'   : {'tex_name' : r'\Omega_{\rm m}', 'min': -2, 'max': 1,  'ticks' : []},
     'OMb'   : {'tex_name' : r'\Omega_{\rm b}', 'min': -2, 'max': 1,  'ticks' : []},
+    'Omch2'   : {'tex_name' : r'\Omega_{\rm c}h^2', 'min': -2, 'max': 1,  'ticks' : []},
+    'Ombh2'   : {'tex_name' : r'\Omega_{\rm b}h^2', 'min': -2, 'max': 1,  'ticks' : []},
     'hlittle'   : {'tex_name' : r'h', 'min': -2, 'max': 1,  'ticks' : []},
+    'Ln_1010_As'   : {'tex_name' : r'\ln(10^{10} A_{\rm s})', 'min': -2, 'max': 1,  'ticks' : []},
     'SIGMA_8'   : {'tex_name' : r'\sigma_8', 'min': -2, 'max': 1,  'ticks' : []},
     'POWER_INDEX'   : {'tex_name' : r'n_{\rm s}', 'min': -2, 'max': 1,  'ticks' : []},
     'INVERSE_M_WDM'   : {'tex_name' : r'1/m_{\rm WDM}', 'min': -2, 'max': 1,  'ticks' : []},
-    'NEUTRINO_MASS_1'   : {'tex_name' : r'\sum m_\nu / 3', 'min': -2, 'max': 1,  'ticks' : []},
+    'NEUTRINO_MASS_1'   : {'tex_name' : r'm_{\nu, 1} ~ [{\rm eV}]', 'min': -2, 'max': 1,  'ticks' : []},
     }
 
 
@@ -433,7 +437,9 @@ def prepare_triangle_plot(params_to_plot, val_min, val_max):
 
                 axs[j_name][i_name].set_xlim([x_min, x_max])
 
-                if i != j :     
+                if i != j :   
+                    if y_min == np.NaN or y_min == np.Inf or y_max == np.NaN or y_max == np.Inf:
+                        print("Problem here: ", j_name, " ", i_name)
                     axs[j_name][i_name].set_ylim([y_min, y_max])
 
                 if i == j :