Restructuring

evaluation_run.sh → EVAL_RUN.sh

@@ -4,21 +4,26 @@
 BIN_LENGTH=0.1
 
 # ANALYSE WHOLE DATA SET AND BIN ACCORDING TO VARIABLE ABOVE
-echo "EXECUTING MAIN.PY"
-python3 main_data.py $BIN_LENGTH
+echo "EXECUTING DATA EVALUATION"
+python3 data_eval.py $BIN_LENGTH
 echo
 
 # REWRITE EACH BINNED FILE INTO BINNED STATISTICS FILE
-echo "EXECUTING BINNED_STATS.PY"
+echo "EXECUTING STATISTICS ON BINNED DATA"
 python3 binned_stats.py $BIN_LENGTH
 echo
 
 # REITERATE PROCESS, BUT SPLIT BETWEEN APPROACH AND RECESSION (INGRESS AND EGRESS)
-echo "EXECUTING APPROACH_RECESSION.PY"
+echo "EXECUTING INGRESS / EGRESS ANALYSIS"
 python3 ingress_egress.py $BIN_LENGTH
 echo
 
 # GENERATE FINAL PLOTS
-echo "EXECUTING FINAL_PLOTS.PY"
-python3 obs_data_plots.py
+echo "GENERATING PLOTS OF OBSERVATION DATA"
+python3 observation_plots.py
+echo
+
+# GENERATE FINAL PLOTS
+echo "GENERATING COMPARISON PLOTS FOR PAPER"
+python3 comparison_plots.py
 echo

MODULES/Statistics/turn_around.py → MODULES/PSPops/data_turnaround.py

@@ -33,6 +33,7 @@ def approach_recession_slicing(encounter_num, data: tp.Dict):
 	# Initialize empty temporary dictionaries
 	data_1 = {}
 	data_2 = {}
+	designation = "unclear"
 	
 	# Determine the index of the turn-around point
 	tap = find_turn_around(data["r"])

README.md

@@ -11,9 +11,11 @@ The data is reduced according to the conservative boundaries of the [SWEAP User
 
 ## Structure
 The code execution routine can be read in the bash-script `evaluation_run.sh`. It sets the size of the radial bins as a global variable and then:
-1. `main_data.py`: Reads in the observational data files, sortes ALL data into distance bins and writes data file for each distance bin into `STATISTICS/BINNED_DATA`
+1. `data_eval.py`: Reads in the observational data files, sortes ALL data into distance bins and writes data file for each distance bin into `STATISTICS/BINNED_DATA`
 2. `binnded_stats.py`: Takes all files in previously mentioned folder and creates a new file, `PSP_statistics.dat`, with mean+stddev and median+q1/q3 for each major parameter and distance bin. Also creates bar charts for each major parameter and distance bin
 3. `ingress_egress.py`: Similar as above, but the data is split between ingress and egress phase for each encounter
-4. `obs_data_plots.py`: Creates median+stddev and mean+q1/q3 plots for all three major parameters
+4. `observation_plots.py`: Creates median+stddev and mean+q1/q3 plots for all three major parameters
+5. `comparison_plots.py`: Collects the evaluated measurement data and creates plots together with a radial profile of the simulation results.
 
-Finally, `comp_data_plots.py`collects the evaluated measurement data and creates plots together with a radial profile of the simulation results.
+
\ No newline at end of file
+## Selected Results
\ No newline at end of file