diff --git a/src/jax_quantity/array_namespace.py b/src/jax_quantity/array_namespace.py
index 040a867..57fc8bb 100644
--- a/src/jax_quantity/array_namespace.py
+++ b/src/jax_quantity/array_namespace.py
@@ -22,9 +22,9 @@ def __getattr__(name: str) -> Any:  # TODO: fuller annotation
 
 # =============================================================================
 # Grad
-# Credit to dfm/jpu
+# Lightly modified from dfm/jpu
 
-AuxT: TypeAlias = Any
+Aux: TypeAlias = Any
 
 
 def is_quantity(obj: Any) -> TypeGuard[Quantity]:
@@ -49,26 +49,26 @@ def grad(
 
 @overload
 def grad(
-    fun: Callable[..., tuple[Quantity, AuxT]],
+    fun: Callable[..., tuple[Quantity, Aux]],
     argnums: int | Sequence[int],
     *,
     has_aux: bool = True,
     holomorphic: bool,
     allow_int: bool,
     reduce_axes: Sequence[int],
-) -> Callable[..., tuple[Quantity, AuxT]]:
+) -> Callable[..., tuple[Quantity, Aux]]:
     ...
 
 
 def grad(
-    fun: Callable[..., Quantity] | Callable[..., tuple[Quantity, AuxT]],
+    fun: Callable[..., Quantity] | Callable[..., tuple[Quantity, Aux]],
     argnums: int | Sequence[int] = 0,
     *,
     has_aux: bool = False,
     holomorphic: bool = False,
     allow_int: bool = False,
     reduce_axes: Sequence[int] = (),
-) -> Callable[..., Quantity] | Callable[..., tuple[Quantity, AuxT]]:
+) -> Callable[..., Quantity] | Callable[..., tuple[Quantity, Aux]]:
     value_and_grad_f = value_and_grad(
         fun,
         argnums,
@@ -91,7 +91,7 @@ def grad_f(*args: Any, **kwargs: Any) -> Quantity:
         return g
 
     @wraps(fun, docstr=docstr, argnums=argnums)  # type: ignore[misc]  # untyped decorator
-    def grad_f_aux(*args: Any, **kwargs: Any) -> tuple[Quantity, AuxT]:
+    def grad_f_aux(*args: Any, **kwargs: Any) -> tuple[Quantity, Aux]:
         (_, aux), g = value_and_grad_f(*args, **kwargs)
         return g, aux
 
@@ -116,26 +116,26 @@ def value_and_grad(
 
 @overload
 def value_and_grad(
-    fun: Callable[..., tuple[Quantity, AuxT]],
+    fun: Callable[..., tuple[Quantity, Aux]],
     argnums: int | Sequence[int],
     *,
     has_aux: bool = True,
     holomorphic: bool,
     allow_int: bool,
     reduce_axes: Sequence[int],
-) -> Callable[..., tuple[tuple[Quantity, AuxT], Quantity]]:
+) -> Callable[..., tuple[tuple[Quantity, Aux], Quantity]]:
     ...
 
 
 def value_and_grad(
-    fun: Callable[..., Quantity] | Callable[..., tuple[Quantity, AuxT]],
+    fun: Callable[..., Quantity] | Callable[..., tuple[Quantity, Aux]],
     argnums: int | Sequence[int] = 0,
     *,
     has_aux: bool = False,
     holomorphic: bool = False,
     allow_int: bool = False,
     reduce_axes: Sequence[int] = (),
-) -> Callable[..., tuple[Quantity, Quantity] | tuple[tuple[Quantity, AuxT], Quantity]]:
+) -> Callable[..., tuple[Quantity, Quantity] | tuple[tuple[Quantity, Aux], Quantity]]:
     # inspired by: https://twitter.com/shoyer/status/1531703890512490499
     docstr = (
         "Value and gradient of {fun} with respect to positional "
@@ -147,7 +147,7 @@ def value_and_grad(
 
     def fun_wo_units(
         *args: Any, **kwargs: Any
-    ) -> tuple[jax.Array, tuple[UnitBase, AuxT]]:
+    ) -> tuple[jax.Array, tuple[UnitBase, Aux]]:
         if has_aux:
             result, aux = fun(*args, **kwargs)
         else:
@@ -175,7 +175,7 @@ def fun_wo_units(
     @wraps(fun, docstr=docstr, argnums=argnums)  # type: ignore[misc]  # untyped decorator
     def wrapped(
         *args: Any, **kwargs: Any
-    ) -> tuple[Quantity, Quantity] | tuple[tuple[Quantity, AuxT], Quantity]:
+    ) -> tuple[Quantity, Quantity] | tuple[tuple[Quantity, Aux], Quantity]:
         (result_wo_units, (result_units, aux)), grad = value_and_grad_fun(
             *args, **kwargs
         )