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--- atmos:citation:research:iccp-cloudprobe2024 [2024/07/31 20:27] – klinman
+++ atmos:citation:research:iccp-cloudprobe2024 [2024/07/31 20:50] (current) – klinman
@@ Line 38: / Line 38: @@
   - Extract information from the header. Generate a PbP file that contains the image time from header for each particle, count in buffer, W, L, A, D, P, end diode shadow flag.
     - Program: Extract_Header_Information.py
-    - Run python3 Extract_Header_Information.py
+        - To run on individual file: python3 Extract_Header_Information.py filename
-    - Creates Output_Files/Steps/20100101_HVPS3_columns_step1.pbp.nc
+        - Generated file looks like: Output_Files/Step1/20100101_HVPS3_columns_notwater_step1.pbp.nc
-    - View/Plot with ncview 20100101_HVPS3_columns_step1.pbp.nc
+    - View/plot with, ncview filename
     - ncplot and ncdump should also work.
   - Determine counts recorded by probe as function of time before any corrections for particle size are made or before the sample volume is computed.
-    - run python3 Counts_per_second.py
+    - Program: Counts_per_second.py
-    - Creates files Steps/20100101_HVPS3_columns_step2.pbp.nc
+        - To run on individual file: python3 Counts_per_second.py filename
-    - Need to add plotting to programming and add resulting plots here.
+        - Generated file looks like: Output_Files/Step2/20100101_HVPS3_columns_notwater_step2.pbp.nc
+    - View/plot with, ncview filename
+    - ncplot and ncdump should also work.
+  - Determine counts recorded by probe as a function of time after corrections for particle size based on out of focus particles are made (Assume we need to use “water-processing flag in SODA)
+    - Program: Counts_per_second.py
+        - To run on individual file: python3 Counts_per_second.py filename
+        - Generated file looks like: Output_Files/Step3/20100101_HVPS3_columns_notwater_step3.pbp.nc
+    - View/plot with, ncview filename
+    - ncplot and ncdump should also work.
+  - Number distribution functions before corrections for particle size (we will use counts per bin per second so that assumptions about the sample volume dependence on maximum dimension don't affect the results).
+    - Program: Number_Distribution.py
+        - To run on individual file: python3 Number_Distribution.py filename
+        - Generated file looks like: Output_Files/Step4/20100101_HVPS3_columns_notwater_step4.pbp.nc
+    - View/plot with, ncview filename
+    - ncplot and ncdump should also work.
+    - Work is in progress to make matplotlib plots of the distributions for each second.