Updating an error in SMPS.py that resulted in faulty mass concentrations.

defs/SMPS.py

@@ -419,7 +419,7 @@ class OFRAnalyser:
                     while i < int(items[-1]):
 
                         if j in self.smpl_number_list:
-                            filter_flows.append(float(items[0]) * 6E-4)
+                            filter_flows.append(float(items[0]) * (1E-3) / 60)
 
                         i += 1
                         j += 1

main.py

@@ -1,5 +1,5 @@
 # Importing custom code
-from defs.SMPS import OFRAnalyser
+from defs.SMPS import OFRAnalyser, OFRSample
 from defs.OzoneMonitor import OzoneAnalyser
 from defs.Helper import DATFile
 
@@ -8,18 +8,15 @@ import numpy as np
 from pathlib import Path
 import pandas as pd
 
+# Running some test
+sample = OFRSample(source_file=Path(r"Z:\Data\SMPS\processed\2026\09_September\20260902\20260902_aPinene_SOA.txt"), sample_number=20)
+print(sample.Mass.integrate())
+
 # Specify the source file paths to for SMPS data for the different filters used
 smps_analyser = OFRAnalyser(data_source_file = Path(r"Z:\Data\SMPS\processed\2026\09_September\20260903\20260903_aPinene_SOA.txt"),
                             flow_source_file = Path(r"Z:\People\David_Tschan\OFR_SMPS\flow_files\20260903_SET02_EXP14_flow_file.txt"),
-                            smpl_number_list = range(1, 60),
+                            smpl_number_list = [20],
                             on_time_interval = [pd.Timestamp('2026-09-03 15:20:00'), pd.Timestamp('2026-09-03 16:20:00')])
 
-ozon_analyser = OzoneAnalyser(file = DATFile(file = Path(r"Z:\Data\API_O3\2026\09_September\2026-09-03_14.23.44_PC14750_API_O3.dat"), data_name = 'ozone'),
-                              on_time_interval=[pd.Timestamp('2026-09-03 14:35:00'), pd.Timestamp('2026-09-03 16:50:00')])
-
 smps_analyser.GetData()
-ozon_analyser.GetData()
-
-ozon_analyser.AverageWithSMPS(smps_analyser = smps_analyser, cut_edges = 2, subtract_baseline = ['yes', 5])
-
-print(len(ozon_analyser.averaged_data))
+print(smps_analyser.data)