ADD plot_dThist.py

AHBGOx.py

@@ -24,6 +24,8 @@ parser.add_argument("-export", type=str, nargs='+', help = "filpath to store out
 parser.add_argument("-nameadd", type=str, nargs='+', help = "custom nameadd to add to filename")
 parser.add_argument("-six", action='store_true', help = "use channels for 'AHBGOS'")
 parser.add_argument("-ignoreT", action='store_true', help = "ignores temperature values")
+parser.add_argument("-deltaT", action='store_true', help = "saves deltatimes between events")
+parser.add_argument("-deltaTmuons", action='store_true', help = "saves deltatimes between muon events")
 
 #parser.add_argument("-tdhist",  action='store_true', help = "makes 2d histogramm of B1 against B2 if AHBGOC")
 
@@ -60,6 +62,10 @@ elif 'AHBGOS' in file:
 
 def main(x):
     
+    global thr
+    global ch
+    ch,name,thr,u = channels()
+
     if args.Itime:
         Itime = find_Itime()
         fname = 'histograms/'+filename+ '.Itime'       
@@ -77,11 +83,37 @@ def main(x):
         frame = pd.DataFrame({'time': time, 'T': temp})
         frame.to_csv('histograms/'+filename+'.ntc', sep = ' ', index = False)
     
-    else:
-        global thr
-        global ch
-        ch,name,thr,u = channels()
+    elif args.deltaT:
+        dTh = np.zeros((1000000,2))
+        dTh[:, 0] = np.arange(1, 1000001)
+        with fileinput.input(files=(file), encoding="utf-8", errors='ignore') as f: 
+            for line in f:
+                l = line.split()
+                if not 'EOF' in l and l[0] == 'EI':    
+                    dT = int(l[4].split(":")[0])
+                    x = int(dT/3)
+                    dTh[x, 1] += 1
+        frame = pd.DataFrame(dTh, columns = ["deltaT","count"])
+        frame.to_csv('histograms/'+filename+'.dThist', sep = ' ', index = False)
 
+    elif args.deltaTmuons:    
+        dTh = np.zeros((10000000,2))
+        dTh[:, 0] = np.arange(1, 10000001)
+        with fileinput.input(files=(file), encoding="utf-8", errors='ignore') as f: 
+            dT = 0
+            for line in f:
+                l = line.split()
+                if not 'EOF' in l and l[0] == 'EI':    
+                    dT += int(l[4].split(":")[0])
+                    if isMuon(l):
+                        x = int(dT/3)
+                        dTh[x, 1] += 1
+                        dT = 0
+        frame = pd.DataFrame(dTh, columns = ["deltaTmuons","count"])
+        frame.to_csv('histograms/'+filename+'_muons'+'.dThist', sep = ' ', index = False)
+
+
+    else:
         if name[0] == None and verbosity>0:
             print("no valid filename. Filename should contain 'AHBGOD' or 'AHBGOC'")
             sys.exit()

plot_dThist.py

@@ -0,0 +1,89 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Wed Aug 21 13:33:03 2024
+
+@author: ava
+"""
+
+import argparse
+import sys
+import matplotlib.pyplot as plt
+import pandas as pd
+import numpy as np
+import os.path
+
+def main():
+    
+    parser = argparse.ArgumentParser(description="This script plots histogramms of given data ending on '.hist'")
+    parser.add_argument("-v", "--verbose", choices = ['0','1','2'], help = "when zero only emit serious error messages; when one also emit warnings, when two emit informational messages")
+    parser.add_argument("filepath", type = str, help="path/file were data is stored in")
+    parser.add_argument("-t", "--title", type = str, help="title to use in plot; if not given a standard title will be chosen")
+    parser.add_argument("-e", "--export", type = str, nargs='+', help = "first: filepath were figure shall be exported to (if f, filepath of histdata will be chosen with filepath_plot) \n second:format (png,pdf,...)")
+    parser.add_argument("-l", "--limits", type=str, nargs='+',help = "limits of plot in order xmin,xmax, ymin,ymax,")
+
+    args = parser.parse_args()
+
+    if args.verbose == None:
+        verbosity = 1
+    else:
+        verbosity = args.verbose
+    
+    if verbosity == 2:
+        sys.stderr.write("--verbostiy = '" + str(args.verbose)+"'\n")
+        sys.stderr.write("--filepath = '" + str(args.filepath)+"'\n")
+        sys.stderr.write("--title = '" + str(args.title)+"'\n")
+        sys.stderr.write("--export = '" + str(args.export) +"'\n")
+        sys.stderr.write("--limits = '" + str(args.limits) +"'\n")
+        sys.stderr.write("--dhist = '" + str(args.dhist) +"'\n")
+
+    file = args.filepath
+    
+    if args.title == None:
+        tit = 'Histplot, '+"'"+file.split('/')[-1]+"' "
+    else:
+        tit = args.title       
+
+    data = pd.read_csv(file, sep='\s+', skiprows=1, names = ["dTime","counts"])
+  
+    plt.figure(figsize=(15,10))
+
+    plt.step(data["dTime"], data["counts"], label='deltatimes')
+    
+    fs = 15
+    lim = [0, 90000, 0.9, 30000]
+
+    if not args.limits == None:
+        for i in range(0,4):
+            if not args.limits[i] == None:
+                lim[i] = float(args.limits[i])
+    
+    xlab = 'deltatime in $\mu$s'
+    ylab = 'counts'
+    plt.legend(fontsize = fs, loc="upper right")
+    plt.xticks(fontsize=fs)
+    plt.yticks(fontsize=fs)
+    plt.title(tit, fontsize = fs+10, pad = 15)
+
+    plt.yscale('log')
+    plt.ylabel(ylab, fontsize = fs+5)
+    plt.xlabel(xlab, fontsize=fs+5)
+    plt.ylim(lim[2],lim[3])
+    plt.xlim(lim[0],lim[1])
+
+
+    if args.export == None:
+        plt.show()
+    else:
+        if args.export[0] == 'f':
+            name = 'plots/dThist_' + file.split('/')[-1].split('.')[0]
+        else:
+            name = args.export[0]
+        if len(args.export)>1:
+                end = '.' + args.export[1]
+        else:
+                end=''
+        plt.savefig(name+end)
+
+main()    
+