| 1 | #!/usr/bin/python
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| 2 | #
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| 3 | # Dominik Neise
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| 4 | # TU Dortmund
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| 5 | #
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| 6 | # test for freshly implemented methods in pyfact.
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| 7 | # subject to frequent change!
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| 8 |
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| 9 | from pyfact import *
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| 10 | #from savecam import *
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| 11 |
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| 12 |
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| 13 | dfname = '/data00/fact-construction/raw/2011/11/24/20111124_081.fits.gz'
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| 14 | outfname = '20111124_081.npz'
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| 15 | calfname = '/data00/fact-construction/raw/2011/11/24/20111124_071.drs.fits.gz'
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| 16 |
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| 17 | # access the data
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| 18 | rd = rawdata( dfname, calfname )
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| 19 |
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| 20 | print 'dfname: ', dfname
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| 21 | print 'calfname:', calfname
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| 22 | print 'NEvents: ', rd.NEvents
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| 23 |
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| 24 | def loop_acal( Neve = 1000 ):
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| 25 | """
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| 26 | bla
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| 27 | """
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| 28 | if rd.NEvents < Neve:
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| 29 | print 'data file contains not enough events'
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| 30 | exit( 0 )
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| 31 | else:
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| 32 | for i in range( Neve ):
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| 33 | if (np.mod(i,100)==0) :
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| 34 | print 'Event: ', i
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| 35 | rd.next()
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| 36 |
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| 37 | rd.filterSlidingAverage()
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| 38 | # print rd.smoothData
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| 39 | rd.filterCFD()
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| 40 | # print rd.cfdData
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| 41 | rd.findPeak()
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| 42 | list_maxPos.append(rd.maxPos)
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| 43 | list_maxAmp.append(rd.maxAmp)
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| 44 | rd.sumAroundPeak()
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| 45 | list_integral.append(rd.integral)
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| 46 | # plotincam(rd.integral, 'evt_'+str(i)+'.pdf')
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| 47 | #print len(rd.maxPos)
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| 48 | #print len(rd.maxAmp)
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| 49 | # print 'Trigger Type', rd.trigType
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| 50 |
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| 51 | #print (rd.filterSlidingAverage.__doc__)
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| 52 | #print (rd.filterCFD.__doc__)
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| 53 | #print (rd.findPeak.__doc__)
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| 54 | #print (rd.sumAroundPeak.__doc__)
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| 55 |
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| 56 | list_maxPos = []
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| 57 | list_maxAmp = []
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| 58 | list_integral = []
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| 59 | loop_acal(rd.NEvents)
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| 60 | maxAmp = np.vstack(list_maxAmp)
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| 61 | maxPos = np.vstack(list_maxPos)
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| 62 | integ = np.vstack(list_integral)
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| 63 |
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| 64 | np.savez(outfname, amplitude=maxAmp, time=maxPos, integral=integ)
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