diff --git a/arpes/analysis/band_analysis.py b/arpes/analysis/band_analysis.py
index bdd739f7..1bce88f4 100644
--- a/arpes/analysis/band_analysis.py
+++ b/arpes/analysis/band_analysis.py
@@ -187,14 +187,13 @@ def as_vector(model_fit: lf.ModelResult, prefix: str = "") -> NDArray[np.float_]
                 as_vector(closest_fit, closest_prefixes[j]),
             )
 
-        best_arrangement = None
+        best_arrangement: tuple[int, ...] = tuple(range(len(prefixes)))
         best_trace = float("inf")
         for p in itertools.permutations(range(len(prefixes))):
             trace = sum(dist_mat[i, p_i] for i, p_i in enumerate(p))
             if trace < best_trace:
                 best_trace = trace
                 best_arrangement = p
-
         ordered_prefixes = [closest_prefixes[p_i] for p_i in best_arrangement]
         identified_by_coordinate[frozen_coord] = ordered_prefixes, fit_result
         identified_band_results.loc[coordinate] = ordered_prefixes
diff --git a/arpes/utilities/normalize.py b/arpes/utilities/normalize.py
index 4c3421e8..b66565cd 100644
--- a/arpes/utilities/normalize.py
+++ b/arpes/utilities/normalize.py
@@ -2,6 +2,7 @@
 
 from __future__ import annotations
 
+import warnings
 from typing import TYPE_CHECKING
 
 import xarray as xr
@@ -20,6 +21,13 @@ def normalize_to_spectrum(data: XrTypes | str) -> xr.DataArray:
     import arpes.xarray_extensions  # noqa: F401
     from arpes.io import load_data
 
+    msg = "Remember to use a DataArray not a Dataset, "
+    msg += "attempting to extract spectrum and copy attributes."
+    warnings.warn(
+        msg,
+        stacklevel=2,
+    )
+
     if isinstance(data, xr.Dataset):
         if "up" in data.data_vars:
             assert isinstance(data.up, xr.DataArray)