MPF.pyrootHelpers module

Set of utility functions used in the plotting scripts

class MPF.pyrootHelpers.SolarizedColors

blue = <Mock name='mock.GetColor()' id='140254955486032'>

cyan = <Mock name='mock.GetColor()' id='140254955486480'>

green = <Mock name='mock.GetColor()' id='140254955486928'>

magenta = <Mock name='mock.GetColor()' id='140254955485264'>

orange = <Mock name='mock.GetColor()' id='140254955484368'>

red = <Mock name='mock.GetColor()' id='140254955484816'>

violet = <Mock name='mock.GetColor()' id='140254955485584'>

yellow = <Mock name='mock.GetColor()' id='140254955483984'>

class MPF.pyrootHelpers.TangoColors

blue1 = <Mock name='mock.GetColor()' id='140254955570704'>

blue2 = <Mock name='mock.GetColor()' id='140254955571152'>

blue3 = <Mock name='mock.GetColor()' id='140254955571600'>

butter1 = <Mock name='mock.GetColor()' id='140254955507920'>

butter2 = <Mock name='mock.GetColor()' id='140254955508368'>

butter3 = <Mock name='mock.GetColor()' id='140254955508816'>

chocolate1 = <Mock name='mock.GetColor()' id='140254955510608'>

chocolate2 = <Mock name='mock.GetColor()' id='140254955511056'>

chocolate3 = <Mock name='mock.GetColor()' id='140254955511504'>

dark1 = <Mock name='mock.GetColor()' id='140254956956496'>

dark2 = <Mock name='mock.GetColor()' id='140254956956944'>

dark3 = <Mock name='mock.GetColor()' id='140254956957392'>

green1 = <Mock name='mock.GetColor()' id='140254955569360'>

green2 = <Mock name='mock.GetColor()' id='140254955569808'>

green3 = <Mock name='mock.GetColor()' id='140254955570256'>

grey1 = <Mock name='mock.GetColor()' id='140254956955152'>

grey2 = <Mock name='mock.GetColor()' id='140254956955600'>

grey3 = <Mock name='mock.GetColor()' id='140254956956048'>

orange1 = <Mock name='mock.GetColor()' id='140254955509264'>

orange2 = <Mock name='mock.GetColor()' id='140254955509712'>

orange3 = <Mock name='mock.GetColor()' id='140254955510160'>

plum1 = <Mock name='mock.GetColor()' id='140254955572048'>

plum2 = <Mock name='mock.GetColor()' id='140254955572496'>

plum3 = <Mock name='mock.GetColor()' id='140254955572944'>

red1 = <Mock name='mock.GetColor()' id='140254956953808'>

red2 = <Mock name='mock.GetColor()' id='140254956954256'>

red3 = <Mock name='mock.GetColor()' id='140254956954704'>

MPF.pyrootHelpers.addOverflowToLastBin(hist)

MPF.pyrootHelpers.calcPoissonCLLower(q, obs)

Calculate lower confidence limit e.g. to calculate the 68% lower limit for 2 observed events: calcPoissonCLLower(0.68, 2.) cf. plot_data_Poisson.C

MPF.pyrootHelpers.calcPoissonCLUpper(q, obs)

Calculate upper confidence limit e.g. to calculate the 68% upper limit for 2 observed events: calcPoissonCLUpper(0.68, 2.)

MPF.pyrootHelpers.calculateMarginMaximum(relMargin, minimum, maximum, logy=False)

Calculate a new maximum for the given range, taking into account a relative top margin inside the pad

Parameters:

• relMargin – relative top margin inside the pad - for example 0.2 will leave 20% space to the top
• minimum – minimum to be used on the y-axis
• maximum – histograms current maximum
• logy – calculate for log scale?

MPF.pyrootHelpers.getBranchNames(tree)

MPF.pyrootHelpers.getExpCLsAsimov(s, b, db)

Calculate the expected CLs (CLs=p_(s+b)/p_b) value based on the asymptotic approximation. See Eur.Phys.J.C71, arXiv:1007.1727 (“CCGV paper”) for the formulas. The derivation follows the same procedure as described for p0 in <http://www.pp.rhul.ac.uk/~cowan/stat/medsig/medsigNote.pdf>

MPF.pyrootHelpers.getHistFromYieldsDict(yieldsDict)

Fills a histogram from a dictionary - keys will be the labels - the values can be given as a tuple (rawYield, yield, error) or (yield, error) or just a yield.

MPF.pyrootHelpers.getIntegralAndError(hist)

MPF.pyrootHelpers.getMergedHist(hists)

returns a merged histogram

MPF.pyrootHelpers.getMergedYieldsDict(*yieldsDicts)

MPF.pyrootHelpers.getMinMaxWithErrors(*histsOrStack, **kwargs)

MPF.pyrootHelpers.getRelErrHist(hist)

MPF.pyrootHelpers.getTreeNames(tFile, getAll=False)

MPF.pyrootHelpers.getTreeNamesFromFile(fileName, getAll=False)

MPF.pyrootHelpers.histFromGraph(g)

Convert a TGraphAsymmErrors to a histogram. If asymmetric errors are given, they are symmetrised. The bin boundaries are determined by the x-errors

MPF.pyrootHelpers.pdfUnite(pathList, outputfile)

MPF.pyrootHelpers.pdfUniteOrMove(pathList, outputfile)

MPF.pyrootHelpers.rootStyleColor(color)

function to convert different color expressions to the standard ROOT int

MPF.pyrootHelpers.scaleYieldsDict(yieldsDict, factor)

MPF.pyrootHelpers.setBatchMode()

Set ROOT to batch and ignore command line options

MPF.pyrootHelpers.tempNameGenerator()

MPF.pyrootHelpers.yieldBinNumbers(hist, overFlow=False, underFlow=False)

MPF.pyrootHelpers.yieldColors()