diff --git a/ctapipe/image/muon/fitting.py b/ctapipe/image/muon/fitting.py
index 9b08d828fed..b5f9ef0cba5 100644
--- a/ctapipe/image/muon/fitting.py
+++ b/ctapipe/image/muon/fitting.py
@@ -4,10 +4,7 @@
 
 from ctapipe.utils.quantities import all_to_value
 
-__all__ = [
-    "kundu_chaudhuri_circle_fit",
-    "taubin_circle_fit",
-]
+__all__ = ["kundu_chaudhuri_circle_fit", "taubin_circle_fit"]
 
 
 def kundu_chaudhuri_circle_fit(x, y, weights):
@@ -79,18 +76,17 @@ def taubin_circle_fit(x, y, mask):
 
     # minimization method
     fit = Minuit(
-        make_taubin_loss_function(x_masked, y_masked),
-        xc=xc,
-        yc=yc,
-        r=taubin_r_initial,
-        error_xc=taubin_error,
-        error_yc=taubin_error,
-        error_r=taubin_error,
-        limit_xc=(-2 * R, 2 * R),
-        limit_yc=(-2 * R, 2 * R),
-        limit_r=(0, R),
-        pedantic=False,
+        make_taubin_loss_function(x_masked, y_masked), xc=xc, yc=yc, r=taubin_r_initial
     )
+
+    fit.errors["xc"] = taubin_error
+    fit.errors["yc"] = taubin_error
+    fit.errors["r"] = taubin_error
+
+    fit.limits["xc"] = (-2 * R, 2 * R)
+    fit.limits["yc"] = (-2 * R, 2 * R)
+    fit.limits["r"] = (0, R)
+
     fit.migrad()
 
     radius = Quantity(fit.values["r"], original_unit)
diff --git a/ctapipe/image/muon/intensity_fitter.py b/ctapipe/image/muon/intensity_fitter.py
index 1d1200c2c90..699bb3dc8f3 100644
--- a/ctapipe/image/muon/intensity_fitter.py
+++ b/ctapipe/image/muon/intensity_fitter.py
@@ -517,37 +517,30 @@ def __call__(self, tel_id, center_x, center_y, radius, image, pedestal, mask=Non
             pedestal=pedestal,
             hole_radius=self.hole_radius_m.tel[tel_id] * u.m,
         )
+        negative_log_likelihood.errordef = Minuit.LIKELIHOOD
 
         initial_guess = create_initial_guess(center_x, center_y, radius, telescope)
 
-        step_sizes = {}
-        step_sizes["error_impact_parameter"] = 0.5
-        step_sizes["error_phi"] = np.deg2rad(0.5)
-        step_sizes["error_ring_width"] = 0.001 * radius.to_value(u.rad)
-        step_sizes["error_optical_efficiency_muon"] = 0.05
-
-        constraints = {}
-        constraints["limit_impact_parameter"] = (0, None)
-        constraints["limit_phi"] = (-np.pi, np.pi)
-        constraints["fix_radius"] = True
-        constraints["fix_center_x"] = True
-        constraints["fix_center_y"] = True
-        constraints["limit_ring_width"] = (0.0, None)
-        constraints["limit_optical_efficiency_muon"] = (0.0, None)
-
         # Create Minuit object with first guesses at parameters
         # strip away the units as Minuit doesnt like them
 
-        minuit = Minuit(
-            negative_log_likelihood,
-            # forced_parameters=parameter_names,
-            **initial_guess,
-            **step_sizes,
-            **constraints,
-            errordef=0.5,
-            print_level=0,
-            pedantic=True,
-        )
+        minuit = Minuit(negative_log_likelihood, **initial_guess)
+
+        minuit.print_level = 0
+
+        minuit.errors["impact_parameter"] = 0.5
+        minuit.errors["phi"] = np.deg2rad(0.5)
+        minuit.errors["ring_width"] = 0.001 * radius.to_value(u.rad)
+        minuit.errors["optical_efficiency_muon"] = 0.05
+
+        minuit.limits["impact_parameter"] = (0, None)
+        minuit.limits["phi"] = (-np.pi, np.pi)
+        minuit.limits["ring_width"] = (0.0, None)
+        minuit.limits["optical_efficiency_muon"] = (0.0, None)
+
+        minuit.fixed["radius"] = True
+        minuit.fixed["center_x"] = True
+        minuit.fixed["center_y"] = True
 
         # Perform minimisation
         minuit.migrad()
diff --git a/environment.yml b/environment.yml
index a858139ca74..e87cd2f9132 100644
--- a/environment.yml
+++ b/environment.yml
@@ -13,7 +13,7 @@ dependencies:
   - cython
   - graphviz
   - h5py
-  - iminuit>=1.3,<2.0.0a0
+  - iminuit>=2
   - ipython
   - ipywidgets
   - joblib
diff --git a/setup.py b/setup.py
index 1a7458d52d7..a566af25191 100755
--- a/setup.py
+++ b/setup.py
@@ -44,7 +44,7 @@
         "bokeh~=1.0",
         "eventio>=1.5.0,<2.0.0a0",
         "h5py",
-        "iminuit~=1.3",
+        "iminuit>=2",
         "joblib",
         "matplotlib~=3.0",
         "numba>=0.43",