Fix regressions in unscaling function

i4Ds · Dec 7, 2023 · c93db4c · c93db4c
1 parent fa604ba
commit c93db4c
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Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/stixcore/products/common.py b/stixcore/products/common.py
@@ -334,7 +334,7 @@ def unscale_triggers(scaled_triggers, *, integration, detector_masks, ssid, fact
     n_int = integration.as_float().to_value(u.ds)  # units of 0.1s
 
     # Scaled to ints onboard, so bins have scaled width of 1, so error is 0.5 times the total factor
-    scaling_error = np.full_like(scaled_triggers, 0.5) * n_group.T * n_int * factor
+    scaling_error = np.full_like(scaled_triggers, 0.5, dtype=float) * n_group.T * n_int * factor
     # The FSW essential floors the value so add 0.5 so trigger is the centre of range +/- error
     unscaled_triggers = (scaled_triggers * n_group.T * n_int * factor) + scaling_error
 

diff --git a/stixcore/products/level0/quicklookL0.py b/stixcore/products/level0/quicklookL0.py
@@ -243,7 +243,7 @@ def from_levelb(cls, levelb, parent=''):
 
         triggers = packets.get_value('NIX00274').T
         triggers_var = packets.get_value('NIX00274', attr="error").T
-        if control['compression_scheme_triggers_skm'] == [0, 0, 7]:
+        if control['compression_scheme_triggers_skm'].tolist() == [[0, 0, 7]]:
             logger.debug('Unscaling trigger ')
             triggers, triggers_var = unscale_triggers(
                 triggers, integration=duration, detector_masks=control['detector_mask'],