research/TCS/process.py

   1 #!/usr/bin/python -u
   2
   3 #
   4 # @file process.py
   5 # @purpose Process TCS data
   6 #               Takes S(E) = dI/dE
   7 # @author Sam Moore
   8 # @date August 2012
   9 #
  10
  11 import sys
  12 import os
  13 import re # Regular expressions - for removing comments
  14 import odict #ordered dictionary
  15 import copy
  16
  17 import Gnuplot, Gnuplot.funcutils
  18
  19 gnuplot = Gnuplot.Gnuplot()
  20
  21 def GetData(filename):
  22         input_file = open(filename, "r")
  23         data = []
  24         for line in input_file:
  25                 line = re.sub("#.*", "", line).strip("\r\n ")
  26                 if len(line) == 0:
  27                         continue
  28                 data.append(map(lambda e : float(e), line.split("\t")))
  29         return data
  30
  31 def Derivative(data, a=0, b=1):
  32         result = []
  33         n = 0
  34         dI = 0
  35         dE = 0
  36         for i in range(1, len(data)-1):
  37                 dE = data[i+1][a] - data[i][a]
  38                 if (dE != 0):
  39                         n = 0
  40                         dI = 0
  41
  42                 n += 1
  43                 dI += data[i+1][b] - data[i][b]
  44                 if (dE != 0):
  45                         result.append([data[i][a], (dI / (n * dE)) ] ) #/ data[i][2]])
  46         return result
  47
  48 def MaxNormalise(data, u=1):
  49         maxval = max(data, key = lambda e : e[u])[u]
  50
  51         result = copy.deepcopy(data)
  52         for d in result:
  53                 d[u] = d[u] / maxval
  54
  55         return result
  56
  57 def Average(data_sets, u=1):
  58         avg = odict.odict()
  59         for t in data_sets:
  60                 for p in t:
  61                         if p[0] in avg:
  62                                 avg[p[0]][0] += p[u]
  63                                 avg[p[0]][1] += 1
  64                         else:
  65                                 avg.update({p[0] : [p[u], 1]})
  66
  67         for a in avg.keys():
  68                 avg[a] = float(avg[a][0]) / float(avg[a][1])
  69         return sorted(avg.items(), key = lambda e : e[0])
  70
  71 def Plot(*args):
  72         gnuplot.plot(args)
  73
  74 def FitTCS(data):
  75         pass
  76
  77 def FullWidthAtHalfMax(data, u=1):
  78         maxval = max(data, key = lambda e : e[u])
  79         peak = data.index(maxval)
  80         maxval = maxval[0]
  81         lhs = None
  82         rhs = None
  83         for i in range(1, len(data)/2):
  84                 if lhs == None:
  85                         if (peak-i > 0 and data[peak-i] < 0.50*maxval):
  86                                 lhs = data[peak-i][u]
  87                 if rhs == None:
  88                         if (peak+i < len(data) and data[peak+i] < 0.50*maxval):
  89                                 rhs = peak+i
  90                 if lhs != None and rhs != None:
  91                         break
  92         if rhs == None or lhs == None:
  93                 return abs(data[len(data)-1][0] - data[0][0])
  94         else:
  95                 return abs(rhs - lhs)
  96
  97 def SaveData(filename, data):
  98         out = open(filename, "w", 0)
  99         for a in data:
 100                 out.write(str(a[0]) + "\t" + str(a[1]) + "\n")
 101
 102
 103 def main():
 104         if (len(sys.argv) < 2):
 105                 sys.stderr.write(sys.argv[0] + " - Require arguments (filename)\n")
 106                 return 1
 107
 108         tcs = []
 109         gnuplot("set style data lp")
 110         gnuplot("set key outside right")
 111         #gnuplot("set title \"Au on Si (50min 3.5A 3-6 e-8mbar)\"")
 112         #gnuplot("set xlabel \"E (DAC Counts)\"")
 113         #gnuplot("set ylabel \"S(E) (ADC/DAC Counts)\"")
 114         #gnuplot("set term postscript colour")
 115         #gnuplot("set output \"test.eps\"")
 116         for i in range(1, len(sys.argv)):
 117                 tcs.append(MaxNormalise(map(lambda e : [e[1], e[2]], GetData(sys.argv[i]))))
 118                 #tcs.append(GetTCS(GetData(sys.argv[i])))
 119                 if (len(tcs[i-1]) > 0):
 120                         gnuplot.replot(Gnuplot.Data(tcs[i-1], title=sys.argv[i], with_="lp"))
 121
 122         # Now average the data
 123
 124
 125
 126         avg = Average(tcs)
 127         gnuplot.replot(Gnuplot.Data(avg, title="Average", with_="l lw 2"))
 128
 129         sys.stdout.write("Save averaged data as (blank for no save): ")
 130         filename = sys.stdin.readline().strip(" \r\n\t")
 131         if (filename != ""):
 132                 SaveData(filename, avg)
 133
 134         return 0
 135
 136
 137 if __name__ == "__main__":
 138         sys.exit(main())