diff --git a/src/snkf/handlers/motion/utils.py b/src/snkf/handlers/motion/utils.py
index ac0df6d..036eaf7 100644
--- a/src/snkf/handlers/motion/utils.py
+++ b/src/snkf/handlers/motion/utils.py
@@ -39,8 +39,9 @@ def motion_generator(
     Notes
     -----
     The motion is generated by drawing from a normal distribution with standard
-    deviation for the 6 motion parameters (3 translations and 3 rotations, in this order)
-    Then the cumulative motion is computed by summing the motion at each frame.
+    deviation for the 6 motion parameters: 3 rotation (x,y,z) and  3 translations.
+    Then the cumulative motion is computed by summing the motion at each frame, to
+    derive the absolute displacement compared to the base reference.
     """
     rng = validate_rng(rng)
     t_speeds = rng.normal(0, t_std, (n_frames, 3))
diff --git a/src/snkf/simulation/acquisition.py b/src/snkf/simulation/acquisition.py
deleted file mode 100644
index 526cee2..0000000
--- a/src/snkf/simulation/acquisition.py
+++ /dev/null
@@ -1,30 +0,0 @@
-from typing import Any, Mapping
-
-import numpy as np
-from np.typing import NDArray
-
-
-class Acquisition:
-    "Container for Acquisition Data"
-
-    def __init__(self):
-        self.kspace_data: NDArray = None
-        self.kspace_mask: NDArray = None
-        self.shot_order: NDArray = None
-        self.is_cartesian: bool = None
-        self.name = None
-
-        self._shot_time: float = None
-        self._shot_frame_map: NDArray = None
-        self._group_n_shot: int = 1
-        self._traj_name: str = ""
-        self._traj_params: Mapping[str, Any] = None
-
-    def to_mrd_data(self, dset):
-        """Convert the k-space data to an MRD Acquisition."""
-
-    @property
-    def TR_ms(self): ...
-
-    @property
-    def n_kspace_frame(self): ...
diff --git a/src/snkf/simulation/lazy.py b/src/snkf/simulation/lazy.py
index 44478cb..cd6982d 100644
--- a/src/snkf/simulation/lazy.py
+++ b/src/snkf/simulation/lazy.py
@@ -26,8 +26,8 @@ def reverse(func: Callable[[T, U], V]) -> Callable[[U, T], V]:
     def reversed_func(a: U, b: T) -> V:
         return func(b, a)
 
-    reversed_func.__doc__ = "Reversed argument form of %s" % func.__doc__
-    reversed_func.__name__ = "reversed %s" % func.__name__
+    reversed_func.__doc__ = f"Reversed argument form of {func.__doc__}"
+    reversed_func.__name__ = f"reversed {func.__name__}"
     return reversed_func