diff --git a/nessai/reparameterisations/__init__.py b/nessai/reparameterisations/__init__.py
index f14bdfe0..d71b1c70 100644
--- a/nessai/reparameterisations/__init__.py
+++ b/nessai/reparameterisations/__init__.py
@@ -8,71 +8,21 @@
 """
 
 import logging
-from dataclasses import dataclass, field
-from typing import Any
 
-from ..utils.entry_points import get_entry_points
 from .angle import Angle, AnglePair, ToCartesian
 from .base import Reparameterisation
 from .combined import CombinedReparameterisation
 from .discrete import Dequantise
 from .null import NullReparameterisation
 from .rescale import Rescale, RescaleToBounds, ScaleAndShift
-from .utils import get_reparameterisation
+from .utils import (
+    ReparameterisationDict,
+    get_reparameterisation,
+)
 
 logger = logging.getLogger(__name__)
 
 
-@dataclass(frozen=True)
-class KnownReparameterisation:
-    """Dataclass to store the reparameterisation class and keyword arguments"""
-
-    name: str
-    class_fn: Reparameterisation
-    keyword_arguments: dict[str:Any] = field(default_factory=dict)
-
-
-class ReparameterisationDict(dict):
-    """Dictionary of reparameterisations
-
-    This dictionary is used to store the known reparameterisations and
-    provides a method to add new reparameterisations.
-    """
-
-    def add_reparameterisation(self, name, class_fn, keyword_arguments=None):
-        """Add a new reparameterisation to the dictionary
-
-        Parameters
-        ----------
-        name : str
-            Name of the reparameterisation.
-        class_fn : Reparameterisation
-            Reparameterisation class.
-        keyword_arguments : dict, optional
-            Keyword arguments for the reparameterisation.
-        """
-        if keyword_arguments is None:
-            keyword_arguments = {}
-        if name in self:
-            raise ValueError(f"Reparameterisation {name} already exists")
-        self[name] = KnownReparameterisation(name, class_fn, keyword_arguments)
-
-    def add_external_reparameterisations(self, group):
-        entry_points = get_entry_points(group)
-        for ep in entry_points.values():
-            reparam = ep.load()
-            if not isinstance(reparam, KnownReparameterisation):
-                raise RuntimeError(
-                    f"Invalid external reparameterisation: {reparam}"
-                )
-            elif reparam.name in self:
-                raise ValueError(
-                    f"Reparameterisation {reparam.name} already exists"
-                )
-            logger.debug(f"Adding external reparameterisation: {reparam}")
-            self[reparam.name] = reparam
-
-
 default_reparameterisations = ReparameterisationDict()
 default_reparameterisations.add_reparameterisation("default", RescaleToBounds)
 default_reparameterisations.add_reparameterisation(
diff --git a/nessai/reparameterisations/utils.py b/nessai/reparameterisations/utils.py
index 990ee01b..472ff6b3 100644
--- a/nessai/reparameterisations/utils.py
+++ b/nessai/reparameterisations/utils.py
@@ -4,10 +4,66 @@
 """
 
 import copy
+import logging
+from dataclasses import dataclass, field
+from typing import Any
 
+from ..utils.entry_points import get_entry_points
 from .base import Reparameterisation
 from .null import NullReparameterisation
 
+logger = logging.getLogger(__name__)
+
+
+@dataclass(frozen=True)
+class KnownReparameterisation:
+    """Dataclass to store the reparameterisation class and keyword arguments"""
+
+    name: str
+    class_fn: Reparameterisation
+    keyword_arguments: dict[str:Any] = field(default_factory=dict)
+
+
+class ReparameterisationDict(dict):
+    """Dictionary of reparameterisations
+
+    This dictionary is used to store the known reparameterisations and
+    provides a method to add new reparameterisations.
+    """
+
+    def add_reparameterisation(self, name, class_fn, keyword_arguments=None):
+        """Add a new reparameterisation to the dictionary
+
+        Parameters
+        ----------
+        name : str
+            Name of the reparameterisation.
+        class_fn : Reparameterisation
+            Reparameterisation class.
+        keyword_arguments : dict, optional
+            Keyword arguments for the reparameterisation.
+        """
+        if keyword_arguments is None:
+            keyword_arguments = {}
+        if name in self:
+            raise ValueError(f"Reparameterisation {name} already exists")
+        self[name] = KnownReparameterisation(name, class_fn, keyword_arguments)
+
+    def add_external_reparameterisations(self, group):
+        entry_points = get_entry_points(group)
+        for ep in entry_points.values():
+            reparam = ep.load()
+            if not isinstance(reparam, KnownReparameterisation):
+                raise RuntimeError(
+                    f"Invalid external reparameterisation: {reparam}"
+                )
+            elif reparam.name in self:
+                raise ValueError(
+                    f"Reparameterisation {reparam.name} already exists"
+                )
+            logger.debug(f"Adding external reparameterisation: {reparam}")
+            self[reparam.name] = reparam
+
 
 def get_reparameterisation(reparameterisation, defaults=None):
     """Function to get a reparameterisation class from a name