eliminate need for pandas in bundles.py; warn for exising calib only for hits

orcasong/extractors/bundles.py

@@ -226,12 +226,10 @@ class BundleMCExtractor:
             # bundle diameter; only makes sense for 2+ muons
             if len(mc_tracks_sel) >= 2:
                 positions_plane = get_plane_positions(
-                    positions=mc_tracks_sel[["pos_x", "pos_y", "pos_z"]]
-                    .to_dataframe()
-                    .to_numpy(),
-                    directions=mc_tracks_sel[["dir_x", "dir_y", "dir_z"]]
-                    .to_dataframe()
-                    .to_numpy(),
+                    positions=np.concatenate(
+                        [mc_tracks_sel[k][:, None] for k in ("pos_x", "pos_y", "pos_z")], axis=-1),
+                    directions=np.concatenate(
+                        [mc_tracks_sel[k][:, None] for k in ("dir_x", "dir_y", "dir_z")], axis=-1),
                     plane_point=self.plane_point,
                     plane_normal=plane_normal,
                 )

orcasong/modules.py

@@ -462,15 +462,16 @@ class DetApplier(kp.Module):
             self._cache_shift_center()
 
     def process(self, blob):
-        if (self.calib_hits or self.calib_mchits) and self._calib_checked is False:
-            if "pos_x" in blob["Hits"]:
-                self.log.warn(
-                    "Warning: Using a det file, but pos_x in Hits detected. "
-                    "Is the file already calibrated? This might lead to "
-                    "errors with t0."
-                )
-            self._calib_checked = True
         if self.calib_hits:
+            if self._calib_checked is False:
+                if "pos_x" in blob["Hits"]:
+                    self.log.warn(
+                        "Warning: Using a det file, but pos_x in Hits detected. "
+                        "Is the file already calibrated? This might lead to "
+                        "errors with t0."
+                    )
+                self._calib_checked = True
+                
             blob["Hits"] = self.calib.apply(
                 blob["Hits"], correct_slewing=self.correct_timeslew
             )