Index: fact/tools/pyscripts/tools/plot4.py
===================================================================
--- fact/tools/pyscripts/tools/plot4.py	(revision 13123)
+++ fact/tools/pyscripts/tools/plot4.py	(revision 13123)
@@ -0,0 +1,78 @@
+#!/usr/bin/python
+#
+# Werner Lustermann
+# ETH Zurich
+#
+import numpy as np
+from pyfact_rename import RawData
+from plotter import Plotter
+from drs_spikes import DRSSpikes
+
+import matplotlib.pyplot as plt
+
+ch = 0
+def drs_calib(acal_data, raw_data, blm, tom, gm, scells, nroi):
+    """ call back function for RawData class """
+    
+    blm_pixel = np.roll( blm[ch,:], -scells[ch] )
+    tom_pixel = np.roll( tom[ch,:], -scells[ch] )
+    gm_pixel = np.roll( gm[ch,:], -scells[ch] )
+    
+    print 'nroi: ', nroi
+    print 'start: ', scells[ch]
+    print 'blm: ', blm[ch,0:20]
+    print 'blm: ', blm_pixel[0:20]
+    print 'tom: ', tom_pixel[0:20]
+    print 'gm: ', gm_pixel[0:10]
+    print 'raw_data:', raw_data[ch,0:20]
+    raw_data_mV =  raw_data[ch,0:20] * 2000./4096. 
+    print 'raw_data mV:', raw_data_mV
+    raw_data_blm = raw_data_mV - blm_pixel[0:20] - tom_pixel[0:20]
+    print 'raw_data mV - blm:', raw_data_blm
+    raw_data_gm = raw_data_blm / gm_pixel[0:20]
+    print 'raw_data_gm:', raw_data_gm * 1907.35
+    print 'acal_data: ', acal_data[ch,0:20]
+    
+    raw_data_plot(raw_data[ch,:])
+    acal_data_plot(acal_data[ch,:])
+
+
+path = '/home/luster/win7/FACT/data/raw/20120114/'
+data_file_name = path + '20120114_024.fits.gz'
+calib_file_name = path + '20120114_022.drs.fits.gz'
+path = '/home/luster/win7/FACT/data/raw/20111124/'
+data_file_name = path + '20111124_117.fits.gz'
+calib_file_name = path + '20111124_114.drs.fits.gz'
+
+run = RawData( data_file_name, calib_file_name , user_action_calib = drs_calib)
+
+x = np.linspace(0., run.nroi, run.nroi)
+
+raw_data_plot = Plotter('raw_data', x, 'g.', 
+			xlabel='slice in logical pipeline', ylabel='amplitude in mV')
+acal_data_plot = Plotter('cal_data', x, 'r.', xlabel='slice in logical pipeline', ylabel='amplitude in mV')
+
+
+
+plt.ion() # turn interactive mode on (plots are done immediately)
+ 
+ch = 0
+
+inp = ''
+data, scell, tt = run.next()
+#print data[ch,0:10]
+
+while ( inp != 'q' ):
+
+    inp = raw_input('[n|p|q]: ')
+
+    if inp == 'n':
+        ch = (ch + 1)%1440
+    elif inp == 'p':
+        ch = (ch + 1)%1440
+        print ch
+    elif inp == 'q':
+        pass
+    else:
+        data, scell, tt = run.next()
+
