remove triggering on negative zogy scores

pipeline/detection.py

@@ -912,7 +912,8 @@ def extract_sources_filter(self, image):
         # TODO: we should check if we still need this after b/g subtraction on the input images
         mu, sigma = sigma_clipping(score)
         score = (score - mu) / sigma
-        det_map = abs(score) > self.pars.threshold  # catch negative peaks too (can get rid of them later)
+        # det_map = abs(score) > self.pars.threshold  # catch negative peaks too (can get rid of them later)
+        det_map = score > self.pars.threshold
 
         # dilate the map to merge nearby peaks
         struc = np.zeros((3, 3), dtype=bool)

tests/models/test_x.py

@@ -10,6 +10,9 @@
 from models.cutouts import Cutouts
 from models.measurements import Measurements
 
+import pdb
+import matplotlib.pyplot as plt
+
 
 def test_filtering_measurements(ptf_datastore):
     # printout the list of relevant environmental variables:
@@ -44,6 +47,7 @@ def test_filtering_measurements(ptf_datastore):
 
     m = measurements[0]  # grab the first one as an example
 
+    # pdb.set_trace()
     # test that we can filter on some measurements properties
     with SmartSession() as session:
         ms = session.scalars(sa.select(Measurements).where(Measurements.flux_apertures[0] > 0)).all()