Add to SIT-3 data variables (IMAP-Science-Operations-Center#589)

* Add to SIT-3 data variables

imap_processing/ultra/l1b/de.py

@@ -26,8 +26,32 @@ def calculate_de(de_dataset, name):
     # Placeholder for calculations
     epoch = de_dataset.coords["epoch"].values
 
-    de_dict["epoch"] = epoch
-    de_dict["x_front"] = np.zeros(len(epoch), dtype=np.uint64)
+    de_dict["epoch"] = de_dataset["epoch"]
+    de_dict["x_front"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["y_front"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["x_back"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["y_back"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["x_coin"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["tof_start_stop"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["tof_stop_coin"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["tof_corrected"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["eventtype"] = np.zeros(len(epoch), dtype=np.uint64)
+    de_dict["vx_ultra"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vy_ultra"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vz_ultra"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["energy"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["species"] = np.zeros(len(epoch), dtype=np.uint64)
+    de_dict["event_efficiency"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vx_sc"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vy_sc"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vz_sc"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vx_dps_sc"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vy_dps_sc"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vz_dps_sc"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vx_dps_helio"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vy_dps_helio"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["vz_dps_helio"] = np.zeros(len(epoch), dtype=np.float64)
+    de_dict["eventtimes"] = np.zeros(len(epoch), dtype=np.float64)
 
     dataset = create_dataset(de_dict, name, "l1b")
 

imap_processing/ultra/l1b/extendedspin.py

@@ -28,6 +28,16 @@ def calculate_extendedspin(rates_dataset, name):
     # Placeholder for calculations
     extendedspin_dict["epoch"] = epoch
     extendedspin_dict["spin_number"] = np.zeros(len(epoch), dtype=np.uint64)
+    extendedspin_dict["spin_start_time"] = np.zeros(len(epoch), dtype=np.float64)
+    extendedspin_dict["avg_spin_period"] = np.zeros(len(epoch), dtype=np.float64)
+    extendedspin_dict["rate_start_pulses"] = np.zeros(len(epoch), dtype=np.float64)
+    extendedspin_dict["rate_stop_pulses"] = np.zeros(len(epoch), dtype=np.float64)
+    extendedspin_dict["rate_coin_pulses"] = np.zeros(len(epoch), dtype=np.float64)
+    extendedspin_dict["rate_processed_events"] = np.zeros(len(epoch), dtype=np.float64)
+    extendedspin_dict["rate_rejected_events"] = np.zeros(len(epoch), dtype=np.float64)
+    extendedspin_dict["quality_hk"] = np.zeros(len(epoch), dtype=np.uint16)
+    extendedspin_dict["quality_attitude"] = np.zeros(len(epoch), dtype=np.uint16)
+    extendedspin_dict["quality_instruments"] = np.zeros(len(epoch), dtype=np.uint16)
 
     extendedspin_dataset = create_dataset(extendedspin_dict, name, "l1b")
 

imap_processing/ultra/l1c/histogram.py

@@ -22,6 +22,7 @@ def calculate_histogram(histogram_dataset, name):
     histogram_dict = {}
 
     # Placeholder for calculations
+    # TODO: come back and update this data structure.
     epoch = histogram_dataset.coords["epoch"].values
 
     histogram_dict["epoch"] = epoch

imap_processing/ultra/l1c/pset.py

@@ -24,6 +24,7 @@ def calculate_pset(pset_dataset, name):
     pset_dict = {}
 
     # Placeholder for calculations
+    # TODO: come back and update this data structure.
     epoch = pset_dataset.coords["epoch"].values
 
     pset_dict["epoch"] = epoch