| 1 | hm.selectStore("xrayfluo.his")
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| 2 | histoGamDet = hm.load1D(1)
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| 3 |
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| 4 | # prepare to fit the histo h1
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| 5 | # creating a vector from a histogram
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| 6 | v1=vm.from1D(histoGamDet)
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| 7 |
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| 8 | vm.list()
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| 9 |
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| 10 | # create a new fitter:
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| 11 | fit=Fitter()
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| 12 | # perform fit using the histogram
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| 13 | fit.setData(v1)
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| 14 | v1.toAscii("EnergyDep.dat")
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| 15 | # set the model to "gaussian"
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| 16 | fit.setModel("G")
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| 17 | # define (and init) parameters for fit function
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| 18 | fit.setParameter("amp" ,653.)
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| 19 | amp = fit.fitParameter ("amp")
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| 20 | amp.setStart(653.)
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| 21 | amp.setStep(1.)
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| 22 | amp.setBounds(500.,700.)
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| 23 | # ... for these the order is relevant
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| 24 | fit.setParameter("mean" ,1.72)
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| 25 | mean = fit.fitParameter ("mean")
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| 26 | mean.setStart(1.72)
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| 27 | mean.setStep(0.01)
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| 28 | mean.setBounds(1.62,1.82)
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| 29 |
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| 30 | # ... as there is no "intelligent parsing" possible :-(
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| 31 | fit.setParameter("sigma",.1)
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| 32 | sigma = fit.fitParameter ("sigma")
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| 33 | sigma.setStart(0.1)
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| 34 | sigma.setStep(0.005)
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| 35 | sigma.setBounds(0.01,0.3)
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| 36 | # perform fit using the histogram
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| 37 | fit.chiSquareFit()
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| 38 | fit.printResult()
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| 39 | # get vector wiht fitted function for overlay
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| 40 |
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| 41 | vfit=fit.fittedVector(vm)
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| 42 |
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| 43 | # comment this if you want to have a look at the resource file for NAG
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| 44 | shell("rm -f e04ucc.r")
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| 45 |
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| 46 | #pl.zoneOption("mirrorAxis","yes")
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| 47 | pl.xAxisOption("title","energy release in the detector")
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| 48 | pl.yAxisOption("label","counts")
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| 49 | # set error bars (full version)
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| 50 | #pl.dataOption("Representation","Error")
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| 51 | # plot data with overlayed fit-result
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| 52 | pl.textStyle("fontsize","10.")
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| 53 | pl.dataStyle("linecolor", "green")
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| 54 | pl.dataOption("legend","fit")
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| 55 | #pl.dataStyle("lineshape","dashdot")
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| 56 | pl.plot(vfit)
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| 57 |
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| 58 | wait()
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| 59 | pl.psPrint("fitEnegyDep.ps")
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| 60 | pl.reset()
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| 61 |
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| 62 | pl.textStyle("fontsize","10.")
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| 63 | pl.dataStyle("linecolor", "red")
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| 64 | pl.dataOption("legend","energyDeposit")
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| 65 | pl.plot(v1)
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| 66 | wait()
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| 67 |
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| 68 | pl.dataStyle("linecolor", "green")
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| 69 | pl.dataOption("legend","fit")
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| 70 | pl.dataStyle("lineshape","dashdot")
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| 71 | pl.overlay(vfit)
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| 72 |
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| 73 | pl.psPrint("fitEnegyOverl.ps")
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| 74 | pl.reset()
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| 75 | del fit
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| 76 |
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| 77 |
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