Gabriele Cosmo
91 lines
2.6 KiB
Python
91 lines
2.6 KiB
Python
# $Id: dpsManip.py,v 1.2 2003/06/16 17:06:44 dressel Exp $
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# -------------------------------------------------------------------
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# GEANT4 tag $Name: geant4-07-00-cand-01 $
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# -------------------------------------------------------------------
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#
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import math
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# functions to manipulate a DPS (data point set)
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def getScaledDPS(hSrc, scale, df, name):
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"Create a scaled DPS from a histogramm."
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hSrc.scale(scale)
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dp = df.create(name, hSrc)
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setDPSErrorsToZero(dp, 0)
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hSrc.scale(1./scale)
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return dp
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def setDPSErrorsToZero(dps, coNum):
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"Set errors of a DPS to zero."
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for i in range(dps.size()):
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p = dps.point(i)
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co = p.coordinate(coNum)
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co.setErrorMinus(coNum)
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co.setErrorPlus(coNum)
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def copyDPS(dSrc, df, name):
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"Make a copy of a DPS using the data point set factory df."
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dp = df.create(name, dSrc.dimension ())
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for i in range( dSrc.size() ):
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dp.addPoint()
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pNew = dp.point(i)
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pOld = dSrc.point(i)
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for d in range(dSrc.dimension ()):
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cOld = pOld.coordinate(d)
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cNew = pNew.coordinate(d)
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cNew.setValue(cOld.value())
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em = cOld.errorMinus()
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ep = cOld.errorPlus()
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cNew.setErrorMinus(em)
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cNew.setErrorPlus(ep)
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return dp
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def dLogWeightDPS(dSrc, df, name, binEdges):
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"""Create a dps with the coordinate 1 scaled by 1/dlog(coordinate 0).
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"""
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dp = copyDPS(dSrc, df, name)
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for i in range(len(binEdges) - 1):
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s = math.log(binEdges[i+1]) - math.log(binEdges[i])
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c = dp.point(i).coordinate (1)
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value = dSrc.point(i).coordinate(1).value()
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errorMinus = dSrc.point(i).coordinate(1).errorMinus()
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errorPlus = dSrc.point(i).coordinate(1).errorPlus()
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c.setValue(value / s)
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c.setErrorMinus(errorMinus / s)
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c.setErrorPlus(errorPlus / s)
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return dp
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def createScaledDPS(coNum, pDataO, df, name, scale):
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"""Create a scaled DPS from a DPS.
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The coordinate \'coNum\' of the source DPS \'pDataO\' is scaled by
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\'scale\'. The result is returned in the DPS created by the given
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data point set factory \'df\' named \'name\'.
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"""
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dp = copyDPS(pDataO, df, name)
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for i in range( dp.size() ):
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p = dp.point(i)
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co = p.coordinate(coNum)
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co.setValue(co.value()*scale)
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co.setErrorMinus(co.errorMinus()*scale)
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co.setErrorPlus(co.errorPlus()*scale)
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return dp
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def getBinEdges(h):
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"Get bin edges of a histogramm."
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binEdges = []
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a = h.axis ()
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for i in range(a.bins ()):
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binEdges.append(a.binLowerEdge(i))
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binEdges.append(a.binUpperEdge(a.bins () - 1))
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return binEdges
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